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122 Commits
Author SHA1 Message Date
sfilippone f523d0195f Merge branch 'dev-openmp' into TestFerdous 2023-06-08 09:30:44 +02:00
sfilippone 494b8b925f OpenMP loop in samples data generation 2023-06-05 11:46:39 +02:00
sfilippone 73e5d49913 Added timers to build phases 2023-06-02 11:37:58 +02:00
Salvatore Filippone a612cea167 Debug for matchboxp 2023-02-10 07:53:04 -05:00
Salvatore Filippone ebe9b45177 Modify MATCHBOXP to fix OpenMP. Performance to be reviewed 2023-02-10 07:50:58 -05:00
Salvatore Filippone 32994c7ce8 Better parameters in matchboxp_mod 2022-12-13 06:44:12 -05:00
Salvatore Filippone d59c9e6c0a Updates towards OpenMP version. 2022-11-22 03:02:51 -05:00
Salvatore Filippone 0d624df346 Merge branch 'petrilli-m' into openmp-match 2022-11-14 04:49:50 -05:00
StefanoPetrilli 6414d3aef3 U and privateU are now vectors 2022-07-23 12:47:43 -05:00
StefanoPetrilli a259e8ab53 extractUChunch optimization 2022-07-23 11:34:43 -05:00
StefanoPetrilli 500403dbda Replaced some staticQueues with vectors for performance reasons 2022-07-23 11:13:21 -05:00
StefanoPetrilli 066c1a5e62 optimization processMatchedVerticesAndSendMessages.cpp 2022-07-23 09:27:35 -05:00
StefanoPetrilli 1ab166b38b Improved performance of processMatchedVerticesAndSendMessages.cpp 2022-07-23 08:24:50 -05:00
StefanoPetrilli 5efee20041 Optimization, replaced all useless atomic with reduction 2022-07-23 05:52:27 -05:00
StefanoPetrilli aa45e2fe93 processMatchedVerticesAndSendMessages.cpp unoptimized 2022-07-23 05:14:26 -05:00
StefanoPetrilli e328f3969c queueTransfer optimization in processMatchedVertices 2022-07-22 07:25:09 -05:00
StefanoPetrilli 9d1a416f99 add rm to exec.sh 2022-07-21 15:45:31 -05:00
StefanoPetrilli 9b065602a8 Fixed race condition in processExposedVertices 2022-07-20 16:24:37 -05:00
StefanoPetrilli abf258e2e8 isAlreadyMatched is now atomic 2022-07-20 15:45:29 -05:00
StefanoPetrilli cdf92ea2b2 processMatchedVerticess add send messages with error 2022-07-20 15:37:29 -05:00
StefanoPetrilli 22d9baf296 isAlreadyMatched substituted with atomic read in one place 2022-07-18 14:11:53 -05:00
StefanoPetrilli 44f174a571 findOwnerOfGhost optimization and refactor 2022-07-17 13:44:58 -05:00
StefanoPetrilli 3e945c75b4 Refactoring, removed all useless Pointer passed in functions 2022-07-17 13:20:49 -05:00
StefanoPetrilli a71fe82752 PROCESS_CROSS_EDGE refactoring 2022-07-17 12:03:48 -05:00
StefanoPetrilli 4f07a70ed1 initialize refactoring 2022-07-17 11:48:52 -05:00
StefanoPetrilli cb660e044d Remoe MateLock 2022-07-17 11:27:17 -05:00
StefanoPetrilli d24c8c2d46 processCrossEdges is now atomic 2022-07-17 09:43:48 -05:00
StefanoPetrilli 9ab54adf3f processMatchedVertices parallelized 2022-07-17 08:59:23 -05:00
StefanoPetrilli 71d4cdc319 processMatchedVertices rollback to critical regions 2022-07-17 06:11:11 -05:00
StefanoPetrilli 1374f21ba8 refactor increment on variables passed by reference in processMatchedVertices.cpp 2022-07-16 13:54:40 -05:00
StefanoPetrilli a9bb6b26fa processMatchedVertices partially working mixed critical and lock version 2022-07-16 11:20:39 -05:00
StefanoPetrilli 561cadee0f parallelQueues working 2022-07-15 07:27:30 -05:00
StefanoPetrilli 5ca78fb871 Refactoring isAlreadyMatched and processCrossEdge 2022-07-14 17:10:36 -05:00
StefanoPetrilli f17082b337 Refactoring: eliminatino of SPtr inside processMessages 2022-07-14 15:27:53 -05:00
StefanoPetrilli 1ea1be33ba Refactoring, eliminated useless passed variables 2022-07-14 15:23:32 -05:00
StefanoPetrilli 47c6f4f2f8 comments 2022-07-13 16:19:52 -05:00
StefanoPetrilli dc1675766f processMessages.cpp further refactoring 2022-07-13 16:19:38 -05:00
StefanoPetrilli ccac816f52 processCrossEdge small refactoring 2022-07-12 13:24:12 -05:00
StefanoPetrilli c7e8193514 omp task in clean.cpp, lock destroy 2022-07-12 12:12:15 -05:00
StefanoPetrilli 36bd3a51a2 Makefile fix 2022-07-11 16:31:58 -05:00
StefanoPetrilli 32777cc15c clean partial refactoring 2022-07-10 11:09:10 -05:00
StefanoPetrilli 64c23f93f8 processMessags partial refactoring, message const refactoring 2022-07-10 10:01:50 -05:00
StefanoPetrilli d19443052d Insert private queue error in processMatchedVertices.cpp 2022-07-10 05:24:31 -05:00
StefanoPetrilli df1e4a4616 PROCESS_CROSS_EDGE refactoring 2022-07-10 04:31:51 -05:00
StefanoPetrilli 3de1e607eb sendBundledMessages refactoring 2022-07-10 03:39:58 -05:00
StefanoPetrilli 9b13aef1ce processMathedVertices refactoring 2022-07-08 13:32:24 -05:00
StefanoPetrilli 6dcae6d0c1 fix private queues in PARALLEL_PROCESS_EXPOSED_VERTEX_B 2022-07-06 15:33:29 -05:00
StefanoPetrilli 63b7602d3a refactoring queueTransfer 2022-07-06 13:12:31 -05:00
StefanoPetrilli b66de7f25c Refactoring PARALLEL_PROCESS_EXPOSED_VERTEX_B 2022-07-06 12:58:00 -05:00
StefanoPetrilli 46047b2202 refactoring parallelComputeCandidateMateB 2022-06-30 16:48:18 -05:00
StefanoPetrilli 7cfe198d0f Format 2022-06-26 10:45:06 -05:00
StefanoPetrilli 1aca17cd44 initialize fix 2022-06-26 10:02:11 -05:00
StefanoPetrilli ea040ae5ee Reformat initialize, refactoring of initialize completed 2022-06-26 04:48:49 -05:00
StefanoPetrilli 7741abd45d Initialize parallelized with task 2022-06-26 04:40:13 -05:00
StefanoPetrilli b5e52d31f5 Refactoring private queues, still not working 2022-06-25 15:25:13 -05:00
StefanoPetrilli deab695294 Refactoring Initialization 2022-06-25 12:10:14 -05:00
StefanoPetrilli a54f084ffb refactoring, initialization 2022-06-25 10:16:30 -05:00
StefanoPetrilli bf0532867d Functions in different files 2022-06-25 08:48:49 -05:00
StefanoPetrilli 2044c5c8eb Merge fix, lock error 2022-06-14 14:47:45 -05:00
StefanoPetrilli f38f3cf09a Merge branch 'tmp' into ompmpi_aggregator_stefano_petrilli 2022-06-14 14:44:24 -05:00
StefanoPetrilli 6fd571ecb2 Lock error 2022-06-14 14:33:31 -05:00
StefanoPetrilli bf35c1659b Further improved critical region U 2022-06-13 16:53:12 -05:00
StefanoPetrilli b2230a6d6d Improved critical region U 2022-06-13 16:09:00 -05:00
StefanoPetrilli 6c20cd7819 PROCESS MATCHED VERTICES draft of parallelization 2022-06-10 15:34:29 -05:00
StefanoPetrilli f921aa47c4 Master region for tempCounter.clear()
(Might have solved stucked runs)
2022-06-08 15:19:57 -05:00
StefanoPetrilli 532701031e Extendend parallel region after SEND PACKET BUNDLE
Nothing parallelizable founded
2022-06-02 09:15:31 -05:00
StefanoPetrilli b079d71f30 Further optimizations PARALLEL_PROCESS_EXPOSED_VERTEX_B 2022-06-02 07:29:21 -05:00
StefanoPetrilli e2ca97ca47 Removed one critical region from PARALLEL_PROCESS_EXPOSED_VERTEX_B 2022-05-31 16:04:56 -05:00
StefanoPetrilli 5bc4f2a080 PROCESS MATCHED VERTICES parallelization improvement 2022-05-30 14:27:26 -05:00
StefanoPetrilli 2c8dc2ffdd PROCESS MATCHED VERTICES parallelization draft 2022-05-30 13:49:34 -05:00
StefanoPetrilli f3d7b3ab5e False sharing fix 2022-05-29 12:01:28 -05:00
StefanoPetrilli 766ef320c2 Refactoring + critical(Mate) 2022-05-29 12:01:24 -05:00
StefanoPetrilli 002239f5b6 False sharing fix 2022-05-22 17:35:08 -05:00
StefanoPetrilli 70b7c4db55 PARALLEL_PROCESS_EXPOSED_VERTEX_B named critical sections 2022-05-22 16:50:07 -05:00
StefanoPetrilli 2cac21b345 fix and reformatting 2022-05-21 11:46:40 -05:00
StefanoPetrilli 6180f29f39 PARALLEL_COMPUTE_CANDIDATE_MATE_B is now paralle and correct 2022-05-21 11:23:39 -05:00
StefanoPetrilli b4bfdd83e5 computeCandidateMate and isAlreadyMatched 2022-05-21 10:22:58 -05:00
StefanoPetrilli 1140669ea7 firstComputeCandidateMate 2022-05-21 07:01:42 -05:00
StefanoPetrilli 919e2a2918 PARALLEL_PROCESS_EXPOSED_VERTEX_B is actually not parallelizable. Atleast not as I was doing. 2022-05-21 05:56:05 -05:00
StefanoPetrilli baffff3d93 Instable PARALLEL_PROCESS_EXPOSED_VERTEX_B 2022-05-09 16:52:03 -05:00
StefanoPetrilli 25a603debe PARALLEL_COMPUTE_CANDIDATE_MATE_B 2022-05-08 15:11:56 -05:00
StefanoPetrilli a20f0d47e7 Solved the static queue out of scope problem 2022-05-08 12:15:46 -05:00
StefanoPetrilli 76e04ee997 The OMP and MPI version is now separated in two different files 2022-05-05 15:57:58 -05:00
StefanoPetrilli 0a8debe43a Single parallel regions with multiple for cycles
Added OMP for testing
2022-05-01 15:26:47 -05:00
StefanoPetrilli 8f6dc5fac2 verGhostPtrInitialization is now parallelized 2022-05-01 06:05:16 -05:00
StefanoPetrilli 7d40fde21d verGhostIndInitialization and Ghost2LocalInitialization cycles parallelization 2022-05-01 05:42:42 -05:00
StefanoPetrilli 1760afbe97 Time tracking in algoDistEdge 2022-05-01 04:47:03 -05:00
StefanoPetrilli 60f90804d5 Time tracking in MatchBox 2022-05-01 04:42:33 -05:00
Salvatore Filippone edea0caa63 Fix names for par_aggr_alg_names 2021-10-13 09:10:22 -04:00
Salvatore Filippone bd8495794a More fix for logarithmic transformation. 2021-09-28 17:59:38 +02:00
Salvatore Filippone 0f223ca269 Fix log transformation of weights 2021-09-28 17:39:05 +02:00
Salvatore Filippone c4e584a8d2 Update tnewmtc.inp 2021-09-27 16:56:28 +02:00
Salvatore Filippone 9004e623fe Merge branch 'development' into TestFerdous 2021-09-27 16:41:10 +02:00
Salvatore Filippone 653074995a Merge branch 'development' into TestFerdous 2021-09-27 08:59:08 -04:00
Salvatore Filippone 09928af671 Fix silly bug introduced by even more silly mistake. 2021-09-27 08:55:16 -04:00
Salvatore Filippone ba2c6aa721 Fix TestFerdous 2021-09-27 14:19:04 +02:00
Salvatore Filippone c65304f255 Default for lambda 2021-09-25 02:59:44 -04:00
Salvatore Filippone cf67905788 Fix makefiles 2021-09-24 21:35:51 +02:00
Salvatore Filippone 19325ed390 Fix merge 2021-09-24 15:33:48 -04:00
Salvatore Filippone c7b55a452e Merge branch 'TestFerdous' of github.com:sfilippone/amg4psblas into TestFerdous 2021-09-24 15:24:04 -04:00
Salvatore Filippone c80d2d8b1d Merge branch 'TF' into TestFerdous 2021-09-24 15:23:21 -04:00
Salvatore Filippone 8cf193ec5b Fix TF 2021-09-24 15:21:00 -04:00
Salvatore Filippone 8cf8c0fc7b Fix TF 2021-09-24 15:20:12 -04:00
Salvatore Filippone b11a7db667 Merge branch 'TestFerdous' of github.com:sfilippone/amg4psblas into TestFerdous 2021-09-24 15:00:45 -04:00
Salvatore Filippone d700e4c7e4 Fix compilation process for CXX sources. 2021-09-24 07:46:32 -04:00
Salvatore Filippone 43d3659a9e New test input 2021-09-24 03:09:05 -04:00
Salvatore Filippone 82e7e7d7e7 Merge branch 'TestFerdous' of github.com:sfilippone/amg4psblas into TestFerdous 2021-09-22 12:16:52 -04:00
Salvatore Filippone 5993b79749 Made matching algorithms set from test code 2021-09-22 12:12:14 -04:00
Salvatore Filippone 0523053c49 Merge branch 'development' into TestFerdous 2021-09-22 05:08:38 -04:00
Salvatore Filippone 52eaa06f9e Define XTRALINK 2021-09-21 07:30:59 -04:00
Salvatore Filippone 71156dbb3c Fix newmatch description printouts. 2021-09-20 11:35:21 -04:00
Salvatore Filippone 9dab2a8c7c Further build new matching 2021-09-20 10:59:44 -04:00
Salvatore Filippone f2cf59c276 Fix interface to matching method. 2021-09-20 10:15:54 -04:00
Salvatore Filippone fa2f8f53d5 Batch of fixes from initial test. Still more to go. 2021-09-20 09:16:44 -04:00
Salvatore Filippone 9609ea262f Get compilation through for newmatch. Now onto testing. 2021-09-20 06:00:19 -04:00
Salvatore Filippone eb30e8be90 Add decmatch module 2021-09-20 03:49:56 -04:00
Salvatore Filippone 9779eeec9f More work on interfacing with new OpenMP matching 2021-09-17 11:40:36 -04:00
Salvatore Filippone 6f419a2210 Base new matching on parmatch, to be deeply reworked 2021-09-16 09:36:20 -04:00
Salvatore Filippone c4801635b8 Merge branch 'TestFerdous' of github.com:sfilippone/amg4psblas into TestFerdous 2021-09-14 15:42:40 +02:00
Salvatore Filippone c18e5720f5 Change Makefile for CXX objs. 2021-09-14 15:42:24 +02:00
Salvatore Filippone 9ab599367b Start work on interfacing new matching 2021-09-14 06:52:46 -04:00
Salvatore Filippone 2396123b44 Start work on new matching aggregation 2021-09-14 11:17:19 +02:00
57 changed files with 6569 additions and 597 deletions
+1 -1
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@@ -75,7 +75,7 @@ CDEFINES=$(AMGCDEFINES)
AMGFDEFINES=@AMGFDEFINES@ $(PSBFDEFINES)
FDEFINES=$(AMGFDEFINES)
CXXDEFINES=@AMGCXXDEFINES@
CXXDEFINES=@AMGCXXDEFINES@ $(PSBCXXDEFINES)
@COMPILERULES@
-1
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@@ -1,4 +1,3 @@
AMG4PSBLAS
Algebraic Multigrid Package based on PSBLAS (Parallel Sparse BLAS version 3.8)
+5 -2
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@@ -16,7 +16,8 @@ DMODOBJS=amg_d_prec_type.o \
amg_d_dec_aggregator_mod.o amg_d_symdec_aggregator_mod.o \
amg_d_ainv_solver.o amg_d_base_ainv_mod.o \
amg_d_invk_solver.o amg_d_invt_solver.o amg_d_krm_solver.o \
amg_d_matchboxp_mod.o amg_d_parmatch_aggregator_mod.o
amg_d_matchboxp_mod.o amg_d_parmatch_aggregator_mod.o \
amg_d_newmatch_aggregator_mod.o amg_d_decmatch_mod.o
SMODOBJS=amg_s_prec_type.o amg_s_ilu_fact_mod.o \
amg_s_inner_mod.o amg_s_ilu_solver.o amg_s_diag_solver.o amg_s_jac_smoother.o amg_s_as_smoother.o \
@@ -116,7 +117,7 @@ amg_c_prec_type.o: amg_c_onelev_mod.o
amg_z_prec_type.o: amg_z_onelev_mod.o
amg_s_onelev_mod.o: amg_s_base_smoother_mod.o amg_s_dec_aggregator_mod.o amg_s_parmatch_aggregator_mod.o
amg_d_onelev_mod.o: amg_d_base_smoother_mod.o amg_d_dec_aggregator_mod.o amg_d_parmatch_aggregator_mod.o
amg_d_onelev_mod.o: amg_d_base_smoother_mod.o amg_d_dec_aggregator_mod.o amg_d_parmatch_aggregator_mod.o amg_d_newmatch_aggregator_mod.o
amg_c_onelev_mod.o: amg_c_base_smoother_mod.o amg_c_dec_aggregator_mod.o
amg_z_onelev_mod.o: amg_z_base_smoother_mod.o amg_z_dec_aggregator_mod.o
@@ -129,6 +130,8 @@ amg_d_base_aggregator_mod.o: amg_base_prec_type.o
amg_d_parmatch_aggregator_mod.o amg_d_dec_aggregator_mod.o: amg_d_base_aggregator_mod.o
amg_d_hybrid_aggregator_mod.o amg_d_symdec_aggregator_mod.o: amg_d_dec_aggregator_mod.o
amg_d_parmatch_aggregator_mod.o: amg_d_matchboxp_mod.o
amg_d_newmatch_aggregator_mod.o: amg_d_base_aggregator_mod.o
amg_d_newmatch_aggregator_mod.o: amg_d_decmatch_mod.o
amg_c_base_aggregator_mod.o: amg_base_prec_type.o
amg_c_parmatch_aggregator_mod.o amg_c_dec_aggregator_mod.o: amg_c_base_aggregator_mod.o
+12 -5
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@@ -275,7 +275,8 @@ module amg_base_prec_type
integer(psb_ipk_), parameter :: amg_sym_dec_aggr_ = 1
integer(psb_ipk_), parameter :: amg_ext_aggr_ = 2
integer(psb_ipk_), parameter :: amg_coupled_aggr_ = 3
integer(psb_ipk_), parameter :: amg_max_par_aggr_alg_ = amg_coupled_aggr_
integer(psb_ipk_), parameter :: amg_newmtc_aggr_ = 4
integer(psb_ipk_), parameter :: amg_max_par_aggr_alg_ = amg_newmtc_aggr_
!
! Legal values for entry: amg_aggr_type_
!
@@ -283,6 +284,7 @@ module amg_base_prec_type
integer(psb_ipk_), parameter :: amg_soc1_ = 1
integer(psb_ipk_), parameter :: amg_soc2_ = 2
integer(psb_ipk_), parameter :: amg_matchboxp_ = 3
integer(psb_ipk_), parameter :: amg_newmatch_ = 4
!
! Legal values for entry: amg_aggr_prol_
!
@@ -371,13 +373,14 @@ module amg_base_prec_type
character(len=15), parameter, private :: &
& matrix_names(0:1)=(/'distributed ','replicated '/)
character(len=18), parameter, private :: &
& aggr_type_names(0:3)=(/'None ',&
& aggr_type_names(0:4)=(/'None ',&
& 'SOC measure 1 ', 'SOC Measure 2 ',&
& 'Parallel Matching '/)
& 'Parallel Matching ','Decoupled Matching'/)
character(len=18), parameter, private :: &
& par_aggr_alg_names(0:3)=(/&
& par_aggr_alg_names(0:4)=(/&
& 'decoupled aggr. ', 'sym. dec. aggr. ',&
& 'user defined aggr.', 'coupled aggr. '/)
& 'user defined aggr.', 'coupled aggr. ',&
& 'new matching aggr.'/)
character(len=18), parameter, private :: &
& ord_names(0:1)=(/'Natural ordering ','Desc. degree ord. '/)
character(len=6), parameter, private :: &
@@ -516,6 +519,10 @@ contains
val = amg_soc2_
case('SOC1')
val = amg_soc1_
case('NEWMATCH')
val = amg_newmatch_
case('NEWMTC')
val = amg_newmtc_aggr_
case('MATCHBOXP','PARMATCH')
val = amg_matchboxp_
case('COUPLED','COUP')
+529
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@@ -0,0 +1,529 @@
!
!
! AMG4PSBLAS version 1.0
! Algebraic Multigrid Package
! based on PSBLAS (Parallel Sparse BLAS version 3.7)
!
! (C) Copyright 2021
!
! Salvatore Filippone
! Pasqua D'Ambra
! Fabio Durastante
!
! Redistribution and use in source and binary forms, with or without
! modification, are permitted provided that the following conditions
! are met:
! 1. Redistributions of source code must retain the above copyright
! notice, this list of conditions and the following disclaimer.
! 2. Redistributions in binary form must reproduce the above copyright
! notice, this list of conditions, and the following disclaimer in the
! documentation and/or other materials provided with the distribution.
! 3. The name of the AMG4PSBLAS group or the names of its contributors may
! not be used to endorse or promote products derived from this
! software without specific written permission.
!
! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AMG4PSBLAS GROUP OR ITS CONTRIBUTORS
! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
! POSSIBILITY OF SUCH DAMAGE.
!
module amg_d_decmatch_mod
use iso_c_binding
use psb_base_cbind_mod
interface new_Match_If
function dnew_Match_If(ipar,matching,lambda,nr, irp, ja, val, diag, w, mate) &
& bind(c,name="dnew_Match_If") result(res)
use iso_c_binding
import :: psb_c_ipk_, psb_c_lpk_, psb_c_mpk_, psb_c_epk_
implicit none
integer(psb_c_ipk_) :: res
integer(psb_c_ipk_), value :: nr,ipar,matching
real(c_double), value :: lambda
type(c_ptr), value :: irp, ja, mate
type(c_ptr), value :: val, diag, w
end function dnew_Match_If
end interface new_Match_If
interface amg_build_decmatch
module procedure amg_dbuild_decmatch
end interface amg_build_decmatch
logical, parameter, private :: print_statistics=.false.
contains
subroutine amg_ddecmatch_build_prol(w,a,desc_a,ilaggr,nlaggr,prol,info,&
& symmetrize,reproducible,display_inp, display_out, print_out, &
& parallel, matching,lambda)
use psb_base_mod
use psb_util_mod
use iso_c_binding
implicit none
real(psb_dpk_), allocatable, intent(inout) :: w(:)
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type) :: desc_a
integer(psb_lpk_), allocatable, intent(out) :: ilaggr(:)
integer(psb_lpk_), allocatable, intent(out) :: nlaggr(:)
type(psb_ldspmat_type), intent(out) :: prol
integer(psb_ipk_), intent(out) :: info
logical, optional, intent(in) :: display_inp, display_out, reproducible
logical, optional, intent(in) :: symmetrize, print_out, parallel
integer(psb_ipk_), optional, intent(in) :: matching
real(psb_dpk_), optional, intent(in) :: lambda
!
!
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: iam, np, iown
integer(psb_ipk_) :: nr, nc, sweep, nzl, ncsave, nct, idx
integer(psb_lpk_) :: i, k, kg, idxg, ntaggr, naggrm1, naggrp1, &
& ip, nlpairs, nlsingl, nunmatched, lnr
real(psb_dpk_) :: wk, widx, wmax, nrmagg
real(psb_dpk_), allocatable :: wtemp(:)
integer(psb_ipk_), allocatable :: mate(:)
integer(psb_lpk_), allocatable :: ilv(:)
integer(psb_ipk_), save :: cnt=1
character(len=256) :: aname
type(psb_ld_coo_sparse_mat) :: tmpcoo
logical :: display_out_, print_out_, reproducible_, parallel_
integer(psb_ipk_) :: matching_
real(psb_dpk_) :: lambda_
logical, parameter :: dump=.false., debug=.false., dump_mate=.false., &
& debug_ilaggr=.false., debug_sync=.false.
integer(psb_ipk_), save :: idx_bldmtc=-1, idx_phase1=-1, idx_phase2=-1, idx_phase3=-1
logical, parameter :: do_timings=.true.
ictxt = desc_a%get_ctxt()
call psb_info(ictxt,iam,np)
if ((do_timings).and.(idx_phase1==-1)) &
& idx_phase1 = psb_get_timer_idx("MBP_BLDP: phase1 ")
if ((do_timings).and.(idx_bldmtc==-1)) &
& idx_bldmtc = psb_get_timer_idx("MBP_BLDP: buil_matching")
if ((do_timings).and.(idx_phase2==-1)) &
& idx_phase2 = psb_get_timer_idx("MBP_BLDP: phase2 ")
if ((do_timings).and.(idx_phase3==-1)) &
& idx_phase3 = psb_get_timer_idx("MBP_BLDP: phase3 ")
if (do_timings) call psb_tic(idx_phase1)
if (present(display_out)) then
display_out_ = display_out
else
display_out_ = .false.
end if
if (present(print_out)) then
print_out_ = print_out
else
print_out_ = .false.
end if
if (present(reproducible)) then
reproducible_ = reproducible
else
reproducible_ = .false.
end if
if (present(parallel)) then
parallel_ = parallel
else
parallel_ = .true.
end if
if (present(matching)) then
matching_ = matching
else
matching_ = 2
end if
if (present(lambda)) then
lambda_ = lambda
else
lambda_ = 2.0
end if
allocate(nlaggr(0:np-1),stat=info)
if (info /= 0) then
return
end if
nlaggr = 0
ilv = [(i,i=1,desc_a%get_local_cols())]
call desc_a%l2gip(ilv,info,owned=.false.)
call psb_geall(ilaggr,desc_a,info)
ilaggr = -1
call psb_geasb(ilaggr,desc_a,info)
nr = a%get_nrows()
nc = a%get_ncols()
if (size(w) < nc) then
call psb_realloc(nc,w,info)
end if
call psb_halo(w,desc_a,info)
if (debug) write(0,*) iam,' buildprol into buildmatching:',&
& nr, nc
if (debug_sync) then
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' buildprol into buildmatching:',&
& nr, nc
end if
if (do_timings) call psb_toc(idx_phase1)
if (do_timings) call psb_tic(idx_bldmtc)
call amg_dbuild_decmatch(parallel_,matching_,lambda_,w,a,desc_a,mate,info)
if (do_timings) call psb_toc(idx_bldmtc)
if (debug) write(0,*) iam,' buildprol from buildmatching:',&
& info
if (debug_sync) then
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' out from buildmatching:', info
end if
if (info == 0) then
if (do_timings) call psb_tic(idx_phase2)
if (debug_sync) then
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' Into building the tentative prol:'
end if
call psb_geall(wtemp,desc_a,info)
wtemp = dzero
call psb_geasb(wtemp,desc_a,info)
nlaggr(iam) = 0
nlpairs = 0
nlsingl = 0
nunmatched = 0
!
! First sweep
! On return from build_matching, mate has been converted to local numbering,
! so assigning to idx is OK.
!
do k=1, nr
idx = mate(k)
!
! Figure out an allocation of aggregates to processes
!
if (idx < 0) then
!
! Unmatched vertex, potential singleton.
!
nunmatched = nunmatched + 1
if (abs(w(k))<epsilon(nrmagg)) then
! Keep it unaggregated
wtemp(k) = dzero
else
! Create a singleton aggregate
nlaggr(iam) = nlaggr(iam) + 1
ilaggr(k) = nlaggr(iam)
wtemp(k) = w(k)/abs(w(k))
nlsingl = nlsingl + 1
end if
!!$ write(0,*) k,mate(k),ilaggr(k),' negative match ',abs(w(k)), epsilon(nrmagg)
else if (idx > nc) then
write(0,*) 'Impossible: mate(k) > nc'
cycle
else
if (ilaggr(k) == -1) then
wk = w(k)
widx = w(idx)
wmax = max(abs(wk),abs(widx))
nrmagg = wmax*sqrt((wk/wmax)**2+(widx/wmax)**2)
if (nrmagg > epsilon(nrmagg)) then
if (idx <= nr) then
if (ilaggr(idx) == -1) then
! Now, if both vertices are local, the aggregate is local
! (kinda obvious).
nlaggr(iam) = nlaggr(iam) + 1
ilaggr(k) = nlaggr(iam)
ilaggr(idx) = nlaggr(iam)
wtemp(k) = w(k)/nrmagg
wtemp(idx) = w(idx)/nrmagg
end if
nlpairs = nlpairs+1
else
write(0,*) 'Really? mate(k) > nr? ',mate(k),nr
end if
else
if (abs(w(k))<epsilon(nrmagg)) then
! Keep it unaggregated
wtemp(k) = dzero
else
! Create a singleton aggregate
nlaggr(iam) = nlaggr(iam) + 1
ilaggr(k) = nlaggr(iam)
wtemp(k) = w(k)/abs(w(k))
nlsingl = nlsingl + 1
end if
end if
end if
end if
end do
if (do_timings) call psb_toc(idx_phase2)
if (do_timings) call psb_tic(idx_phase3)
! Ok, now compute offsets, gather halo and fix non-local
! aggregates (those where ilaggr == -2)
call psb_sum(ictxt,nlaggr)
ntaggr = sum(nlaggr(0:np-1))
naggrm1 = sum(nlaggr(0:iam-1))
naggrp1 = sum(nlaggr(0:iam))
!
! Shift all indices already assigned (i.e. >0)
!
do k=1,nr
if (ilaggr(k) > 0) then
ilaggr(k) = ilaggr(k) + naggrm1
!!$ else
!!$ write(0,*) 'Leftover ILAGGR',k,ilaggr(k),mate(k),abs(w(k)),epsilon(nrmagg)
end if
end do
call psb_halo(ilaggr,desc_a,info)
call psb_halo(wtemp,desc_a,info)
! Cleanup as yet unmarked entries
do k=1,nr
if (ilaggr(k) == -2) then
idx = mate(k)
if (idx > nr) then
i = ilaggr(idx)
if (i > 0) then
ilaggr(k) = i
else
write(0,*) 'Error : unresolved (paired) index ',k,idx,i,nr,nc, ilv(k),ilv(idx)
end if
else
write(0,*) 'Error : unresolved (paired) index ',k,idx,i,nr,nc, ilv(k),ilv(idx)
end if
end if
if (ilaggr(k) <0) then
write(0,*) 'Decmatch: Funny number: ',k,ilv(k),ilaggr(k),wtemp(k)
end if
end do
if (debug_sync) then
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' Done building the tentative prol:'
end if
if (dump_mate) then
block
integer(psb_lpk_), allocatable :: glaggr(:)
write(aname,'(a,i3.3,a,i3.3,a)') 'mateg-',cnt,'-p',iam,'.mtx'
open(20,file=aname)
write(20,'(a,I3,a)') '% sparse vector on process ',iam,' '
do k=1, nr
write(20,'(3(I8,1X))') ilv(k),ilv(mate(k))
end do
close(20)
write(aname,'(a,i3.3,a,i3.3,a)') 'nloc-',cnt,'-p',iam,'.mtx'
open(20,file=aname)
write(20,'(a,I3,a)') '% sparse vector on process ',iam,' '
write(20,'(a,I12,a)') 'nlpairs ',nlpairs
write(20,'(a,I12,a)') 'nlsingl ',nlsingl
write(20,'(a,I12,a)') 'nlaggr(iam) ',nlaggr(iam)
close(20)
write(aname,'(a,i3.3,a,i3.3,a,i3.3,a)') 'ilaggr-',cnt,'-i',iam,'-p',np,'.mtx'
open(20,file=aname)
write(20,'(a,I3,a)') '% sparse vector on process ',iam,' '
do k=1, nr
write(20,'(3(I8,1X))') ilv(k),ilaggr(k)
end do
close(20)
write(aname,'(a,i3.3,a,i3.3,a)') 'glaggr-',cnt,'-p',np,'.mtx'
call psb_gather(glaggr,ilaggr,desc_a,info,root=izero)
if (iam==0) call mm_array_write(glaggr,'Aggregates ',info,filename=aname)
cnt=cnt+1
end block
end if
block
integer(psb_lpk_) :: v(3)
v(1) = nunmatched
v(2) = nlsingl
v(3) = nlpairs
call psb_sum(ictxt,v)
nunmatched = v(1)
nlsingl = v(2)
nlpairs = v(3)
end block
if (print_statistics) then
if (iam == 0) then
write(0,*) 'Matching statistics: Unmatched nodes ',&
& nunmatched,' Singletons:',nlsingl,' Pairs:',nlpairs
end if
end if
if (display_out_) then
block
integer(psb_ipk_) :: idx
!
! And finally print out
!
do i=0,np-1
call psb_barrier(ictxt)
if (iam == i) then
write(0,*) 'Process ', iam,' hosts aggregates: (',naggrm1+1,' : ',naggrp1-1,')'
do k=1, nr
idx = mate(k)
kg = ilv(k)
if (idx >0) then
idxg = ilv(idx)
else
idxg = -1
end if
if (idx < 0) then
write(0,*) kg,': singleton (',kg,' ( Proc',iam,') ) into aggregate => ', ilaggr(k)
else if (idx <= nr) then
write(0,*) kg,': paired with (',idxg,' ( Proc',iam,') ) into aggregate => ', ilaggr(k)
else
call desc_a%indxmap%qry_halo_owner(idx,iown,info)
write(0,*) kg,': paired with (',idxg,' ( Proc',iown,') ) into aggregate => ', ilaggr(k)
end if
end do
flush(0)
end if
end do
end block
end if
! Dirty trick: allocate tmpcoo with local
! number of aggregates, then change to ntaggr.
! Just to make sure the allocation is not global
lnr = nr
call tmpcoo%allocate(lnr,nlaggr(iam),lnr)
k = 0
do i=1,nr
!
! Note: at this point, a value ilaggr(i)<=0
! tags an unaggregated row, and it has to be
! left alone (i.e.: it should stay at fine level only)
!
if (ilaggr(i)>0) then
k = k + 1
tmpcoo%val(k) = wtemp(i)
tmpcoo%ia(k) = i
tmpcoo%ja(k) = ilaggr(i)
end if
end do
call tmpcoo%set_nzeros(k)
call tmpcoo%set_dupl(psb_dupl_add_)
call tmpcoo%set_sorted() ! This is now in row-major
if (display_out_) then
call psb_barrier(ictxt)
flush(0)
if (iam == 0) write(0,*) 'Prolongator: '
flush(0)
do i=0,np-1
call psb_barrier(ictxt)
if (iam == i) then
do k=1, nr
write(0,*) ilv(tmpcoo%ia(k)),tmpcoo%ja(k), tmpcoo%val(k)
end do
flush(0)
end if
end do
end if
call prol%mv_from(tmpcoo)
if (do_timings) call psb_toc(idx_phase3)
if (print_out_) then
write(aname,'(a,i3.3,a)') 'prol-g-',iam,'.mtx'
call prol%print(fname=aname,head='Test ',ivr=ilv)
write(aname,'(a,i3.3,a)') 'prol-',iam,'.mtx'
call prol%print(fname=aname,head='Test ')
end if
else
write(0,*) iam,' : error from Matching: ',info
end if
end subroutine amg_ddecmatch_build_prol
subroutine amg_dbuild_decmatch(parallel,matching,lambda,w,a,desc_a,mate,info)
use psb_base_mod
use psb_util_mod
use iso_c_binding
implicit none
logical, intent(in) :: parallel
integer(psb_ipk_), intent(in) :: matching
real(psb_dpk_), intent(in) :: lambda
real(psb_dpk_), target :: w(:)
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type) :: desc_a
integer(psb_ipk_), allocatable, intent(out), target :: mate(:)
integer(psb_ipk_), intent(out) :: info
type(psb_d_csr_sparse_mat), target :: tcsr
real(psb_dpk_), allocatable, target :: diag(:)
real(psb_dpk_) :: ph0t,ph1t,ph2t
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: iam, np
integer(psb_ipk_) :: nr, nc, nz, i, nunmatch, ipar
integer(psb_ipk_), save :: cnt=2
logical, parameter :: debug=.false., dump_ahat=.false., debug_sync=.false.
logical, parameter :: old_style=.false., sort_minp=.true.
character(len=40) :: name='build_matching', fname
integer(psb_ipk_), save :: idx_cmboxp=-1, idx_bldahat=-1, idx_phase2=-1, idx_phase3=-1
logical, parameter :: do_timings=.true.
ictxt = desc_a%get_ctxt()
call psb_info(ictxt,iam,np)
nr = a%get_nrows()
call a%cp_to(tcsr)
call psb_realloc(nr,mate,info)
diag = a%get_diag(info)
if (parallel) then
ipar = 2
else
ipar = 1
end if
!
! Now call matching!
!
if (debug) write(0,*) iam,' buildmatching into NewMatch:'
if (do_timings) call psb_tic(idx_cmboxp)
info = dnew_Match_If(ipar,matching,lambda,nr,c_loc(tcsr%irp),c_loc(tcsr%ja),&
& c_loc(tcsr%val),c_loc(diag),c_loc(w),c_loc(mate))
if (do_timings) call psb_toc(idx_cmboxp)
if (debug) write(0,*) iam,' buildmatching from NewMatch:', info
if (debug_sync) then
call psb_max(ictxt,info)
if (iam == 0) write(0,*)' done NewMatch', info
end if
if (do_timings) call psb_tic(idx_phase3)
nunmatch = count(mate(1:nr)<=0)
! call psb_sum(ictxt,nunmatch)
!if (nunmatch /= 0) write(0,*) iam,' Unmatched nodes local imbalance ',nunmatch
! if (count(mate(1:nr)<0) /= nunmatch) write(0,*) iam,' Matching results ?',&
! & nunmatch, count(mate(1:nr)<0)
if (debug_sync) then
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' done build_matching '
end if
if (do_timings) call psb_toc(idx_phase3)
return
9999 continue
call psb_error(ictxt)
end subroutine amg_dbuild_decmatch
end module amg_d_decmatch_mod
+41 -13
View File
@@ -143,9 +143,10 @@ contains
type(psb_ld_coo_sparse_mat) :: tmpcoo
logical :: display_out_, print_out_, reproducible_
logical, parameter :: dump=.false., debug=.false., dump_mate=.false., &
& debug_ilaggr=.false., debug_sync=.false.
& debug_ilaggr=.false., debug_sync=.false., debug_mate=.false.
integer(psb_ipk_), save :: idx_bldmtc=-1, idx_phase1=-1, idx_phase2=-1, idx_phase3=-1
logical, parameter :: do_timings=.true.
integer, parameter :: ilaggr_neginit=-1, ilaggr_nonlocal=-2
ictxt = desc_a%get_ctxt()
call psb_info(ictxt,iam,np)
@@ -187,7 +188,7 @@ contains
call desc_a%l2gip(ilv,info,owned=.false.)
call psb_geall(ilaggr,desc_a,info)
ilaggr = -1
ilaggr = ilaggr_neginit
call psb_geasb(ilaggr,desc_a,info)
nr = a%get_nrows()
nc = a%get_ncols()
@@ -213,7 +214,20 @@ contains
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' out from buildmatching:', info
end if
if (debug_mate) then
block
integer(psb_lpk_), allocatable :: ckmate(:)
allocate(ckmate(nr))
ckmate(1:nr) = mate(1:nr)
call psb_msort(ckmate(1:nr))
do i=1,nr-1
if ((ckmate(i)>0) .and. (ckmate(i) == ckmate(i+1))) then
write(0,*) iam,' Duplicate mate entry at',i,' :',ckmate(i)
end if
end do
end block
end if
if (info == 0) then
if (do_timings) call psb_tic(idx_phase2)
if (debug_sync) then
@@ -259,7 +273,7 @@ contains
cycle
else
if (ilaggr(k) == -1) then
if (ilaggr(k) == ilaggr_neginit) then
wk = w(k)
widx = w(idx)
@@ -267,7 +281,7 @@ contains
nrmagg = wmax*sqrt((wk/wmax)**2+(widx/wmax)**2)
if (nrmagg > epsilon(nrmagg)) then
if (idx <= nr) then
if (ilaggr(idx) == -1) then
if (ilaggr(idx) == ilaggr_neginit) then
! Now, if both vertices are local, the aggregate is local
! (kinda obvious).
nlaggr(iam) = nlaggr(iam) + 1
@@ -275,6 +289,9 @@ contains
ilaggr(idx) = nlaggr(iam)
wtemp(k) = w(k)/nrmagg
wtemp(idx) = w(idx)/nrmagg
else
write(0,*) iam,' Inconsistent mate? ',k,mate(k),idx,&
&mate(idx),ilaggr(idx)
end if
nlpairs = nlpairs+1
else if (idx <= nc) then
@@ -294,7 +311,7 @@ contains
ilaggr(k) = nlaggr(iam)
nlpairs = nlpairs+1
else
ilaggr(k) = -2
ilaggr(k) = ilaggr_nonlocal
end if
else
! Use a statistically unbiased tie-breaking rule,
@@ -309,7 +326,7 @@ contains
ilaggr(k) = nlaggr(iam)
nlpairs = nlpairs+1
else
ilaggr(k) = -2
ilaggr(k) = ilaggr_nonlocal
end if
end if
end if
@@ -325,6 +342,12 @@ contains
nlsingl = nlsingl + 1
end if
end if
if (ilaggr(k) == ilaggr_neginit) then
write(0,*) iam,' Error: no update to ',k,mate(k),&
& abs(w(k)),nrmagg,epsilon(nrmagg),wtemp(k)
end if
else
if (ilaggr(k)<0) write(0,*) 'Strange? ',k,ilaggr(k)
end if
end if
end do
@@ -332,7 +355,7 @@ contains
if (do_timings) call psb_tic(idx_phase3)
! Ok, now compute offsets, gather halo and fix non-local
! aggregates (those where ilaggr == -2)
! aggregates (those where ilaggr == ilaggr_nonlocal)
call psb_sum(ictxt,nlaggr)
ntaggr = sum(nlaggr(0:np-1))
naggrm1 = sum(nlaggr(0:iam-1))
@@ -347,7 +370,7 @@ contains
call psb_halo(wtemp,desc_a,info)
! Cleanup as yet unmarked entries
do k=1,nr
if (ilaggr(k) == -2) then
if (ilaggr(k) == ilaggr_nonlocal) then
idx = mate(k)
if (idx > nr) then
i = ilaggr(idx)
@@ -359,9 +382,14 @@ contains
else
write(0,*) 'Error : unresolved (paired) index ',k,idx,i,nr,nc, ilv(k),ilv(idx)
end if
end if
if (ilaggr(k) <0) then
write(0,*) 'Matchboxp: Funny number: ',k,ilv(k),ilaggr(k),wtemp(k)
else if (ilaggr(k) <0) then
write(0,*) iam,'Matchboxp: Funny number: ',k,ilv(k),ilaggr(k),wtemp(k)
write(0,*) iam,' : : ',nr,nc,mate(k)
if (mate(k) <= nr) then
write(0,*) iam,' : : ',ilaggr(mate(k)),mate(mate(k)),&
& ilv(k),ilv(mate(k)), ilv(mate(mate(k))),ilaggr(mate(mate(k)))
end if
flush(0)
end if
end do
if (debug_sync) then
@@ -414,7 +442,7 @@ contains
end block
if (iam == 0) then
write(0,*) 'Matching statistics: Unmatched nodes ',&
write(0,*) iam,'Matching statistics: Unmatched nodes ',&
& nunmatched,' Singletons:',nlsingl,' Pairs:',nlpairs
end if
+585
View File
@@ -0,0 +1,585 @@
!
!
! The aggregator object hosts the aggregation method for building
! the multilevel hierarchy. This variant is based on the hybrid method
! presented in
!
!
! sm - class(amg_T_base_smoother_type), allocatable
! The current level preconditioner (aka smoother).
! parms - type(amg_RTml_parms)
! The parameters defining the multilevel strategy.
! ac - The local part of the current-level matrix, built by
! coarsening the previous-level matrix.
! desc_ac - type(psb_desc_type).
! The communication descriptor associated to the matrix
! stored in ac.
! base_a - type(psb_Tspmat_type), pointer.
! Pointer (really a pointer!) to the local part of the current
! matrix (so we have a unified treatment of residuals).
! We need this to avoid passing explicitly the current matrix
! to the routine which applies the preconditioner.
! base_desc - type(psb_desc_type), pointer.
! Pointer to the communication descriptor associated to the
! matrix pointed by base_a.
! map - Stores the maps (restriction and prolongation) between the
! vector spaces associated to the index spaces of the previous
! and current levels.
!
! Methods:
! Most methods follow the encapsulation hierarchy: they take whatever action
! is appropriate for the current object, then call the corresponding method for
! the contained object.
! As an example: the descr() method prints out a description of the
! level. It starts by invoking the descr() method of the parms object,
! then calls the descr() method of the smoother object.
!
! descr - Prints a description of the object.
! default - Set default values
! dump - Dump to file object contents
! set - Sets various parameters; when a request is unknown
! it is passed to the smoother object for further processing.
! check - Sanity checks.
! sizeof - Total memory occupation in bytes
! get_nzeros - Number of nonzeros
!
!
module amg_d_newmatch_aggregator_mod
use amg_d_base_aggregator_mod
use iso_c_binding
type, bind(c):: nwm_Vector
type(c_ptr) :: data
integer(c_int) :: size
integer(c_int) :: owns_data
end type nwm_Vector
type, bind(c):: nwm_CSRMatrix
type(c_ptr) :: i
type(c_ptr) :: j
integer(c_int) :: num_rows
integer(c_int) :: num_cols
integer(c_int) :: num_nonzeros
integer(c_int) :: owns_data
type(c_ptr) :: data
end type nwm_CSRMatrix
type, extends(amg_d_base_aggregator_type) :: amg_d_newmatch_aggregator_type
integer(psb_ipk_) :: matching_alg
integer(psb_ipk_) :: n_sweeps
!
! Note: the BootCMatch kernel we invoke overwrites
! the W argument with its update. Hence, copy it in w_nxt
! before passing it to the matching
!
integer(psb_ipk_) :: orig_aggr_size
integer(psb_ipk_) :: jacobi_sweeps
real(psb_dpk_), allocatable :: w(:), w_nxt(:)
type(psb_dspmat_type), allocatable :: prol, restr
type(psb_dspmat_type), allocatable :: ac, base_a, rwa
type(psb_desc_type), allocatable :: desc_ac, desc_ax, base_desc, rwdesc
type(nwm_Vector) :: w_c_nxt
integer(psb_ipk_) :: max_csize
integer(psb_ipk_) :: max_nlevels
real(psb_dpk_) :: lambda
logical :: reproducible_matching = .false.
logical :: need_symmetrize = .false.
logical :: unsmoothed_hierarchy = .true.
logical :: parallel_matching = .true.
contains
procedure, pass(ag) :: bld_tprol => amg_d_newmatch_aggregator_build_tprol
procedure, pass(ag) :: csetc => amg_d_newmatch_aggr_csetc
procedure, pass(ag) :: csetr => amg_d_newmatch_aggr_csetr
procedure, pass(ag) :: cseti => d_newmatch_aggr_cseti
procedure, pass(ag) :: default => d_newmatch_aggr_set_default
procedure, pass(ag) :: mat_asb => amg_d_newmatch_aggregator_mat_asb
procedure, pass(ag) :: mat_bld => amg_d_newmatch_aggregator_mat_bld
procedure, pass(ag) :: inner_mat_asb => amg_d_newmatch_aggregator_inner_mat_asb
procedure, pass(ag) :: update_next => d_newmatch_aggregator_update_next
procedure, pass(ag) :: bld_wnxt => d_newmatch_bld_wnxt
procedure, pass(ag) :: bld_default_w => d_bld_default_w
procedure, pass(ag) :: set_c_default_w => d_set_default_nwm_w
procedure, pass(ag) :: descr => d_newmatch_aggregator_descr
procedure, pass(ag) :: clone => d_newmatch_aggregator_clone
procedure, pass(ag) :: free => d_newmatch_aggregator_free
procedure, nopass :: fmt => d_newmatch_aggregator_fmt
end type amg_d_newmatch_aggregator_type
interface
subroutine amg_d_newmatch_aggregator_build_tprol(ag,parms,ag_data,&
& a,desc_a,ilaggr,nlaggr,t_prol,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
& psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
& psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms, amg_daggr_data
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(amg_daggr_data), intent(in) :: ag_data
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), allocatable, intent(out) :: ilaggr(:),nlaggr(:)
type(psb_ldspmat_type), intent(out) :: t_prol
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_aggregator_build_tprol
end interface
interface
subroutine amg_d_newmatch_aggregator_mat_bld(ag,parms,a,desc_a,ilaggr,nlaggr,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
& psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
& psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(psb_dspmat_type), intent(out) :: op_prol,ac,op_restr
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_aggregator_mat_bld
end interface
interface
subroutine amg_d_newmatch_aggregator_mat_asb(ag,parms,a,desc_a,&
& ac,desc_ac, op_prol,op_restr,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
& psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
& psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(inout) :: desc_a
type(psb_dspmat_type), intent(inout) :: op_prol,ac,op_restr
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_aggregator_mat_asb
end interface
interface
subroutine amg_d_newmatch_map_to_tprol(desc_a,ilaggr,nlaggr,valaggr, op_prol,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
& psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
& psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms
implicit none
type(psb_desc_type), intent(in) :: desc_a
integer(psb_lpk_), allocatable, intent(inout) :: ilaggr(:),nlaggr(:)
real(psb_dpk_), allocatable, intent(inout) :: valaggr(:)
type(psb_ldspmat_type), intent(out) :: op_prol
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_map_to_tprol
end interface
interface
subroutine amg_daggrmat_unsmth_spmm_asb(a,desc_a,ilaggr,nlaggr,parms,&
& ac,op_prol,op_restr,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
& psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
& psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms
implicit none
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(in) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(amg_dml_parms), intent(inout) :: parms
type(psb_ldspmat_type), intent(inout) :: op_prol
type(psb_ldspmat_type), intent(out) :: ac,op_restr
integer(psb_ipk_), intent(out) :: info
end subroutine amg_daggrmat_unsmth_spmm_asb
end interface
interface
subroutine amg_d_newmatch_aggregator_inner_mat_asb(ag,parms,a,desc_a,&
& ac,desc_ac, op_prol,op_restr,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, psb_dspmat_type,&
& psb_ldspmat_type, psb_dpk_, psb_ipk_, psb_lpk_, amg_dml_parms, amg_daggr_data
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(in) :: desc_a
type(psb_dspmat_type), intent(inout) :: op_prol,op_restr
type(psb_dspmat_type), intent(inout) :: ac
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_aggregator_inner_mat_asb
end interface
!!$ interface
!!$ subroutine amg_d_newmatch_unsmth_spmm_bld(a,desc_a,ilaggr,nlaggr,parms,&
!!$ & ac,desc_ac,op_prol,op_restr,t_prol,info)
!!$ import :: amg_d_newmatch_aggregator_type, psb_desc_type, &
!!$ & psb_dspmat_type, psb_ldspmat_type, psb_dpk_, &
!!$ & psb_ipk_, psb_lpk_, psb_epk_, amg_dml_parms
!!$
!!$ implicit none
!!$
!!$ ! Arguments
!!$ type(psb_dspmat_type), intent(in) :: a
!!$ type(psb_desc_type), intent(in) :: desc_a
!!$ integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
!!$ type(amg_dml_parms), intent(inout) :: parms
!!$ type(psb_ldspmat_type), intent(inout) :: t_prol
!!$ type(psb_dspmat_type), intent(inout) :: op_prol,ac,op_restr
!!$ type(psb_desc_type), intent(inout) :: desc_ac
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine amg_d_newmatch_unsmth_spmm_bld
!!$ end interface
interface
subroutine amg_d_newmatch_spmm_bld_ov(a,desc_a,ilaggr,nlaggr,parms,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, psb_dspmat_type,&
& psb_ldspmat_type, psb_dpk_, psb_ipk_, psb_lpk_, amg_dml_parms, amg_daggr_data
implicit none
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(amg_dml_parms), intent(inout) :: parms
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_dspmat_type), intent(inout) :: op_prol,ac, op_restr
type(psb_desc_type), intent(out) :: desc_ac
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_spmm_bld_ov
end interface
interface
subroutine amg_d_newmatch_spmm_bld_inner(a,desc_a,ilaggr,nlaggr,parms,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
import :: amg_d_newmatch_aggregator_type, psb_desc_type, psb_dspmat_type,&
& psb_ldspmat_type, psb_dpk_, psb_ipk_, psb_lpk_, amg_dml_parms, amg_daggr_data,&
& psb_d_csr_sparse_mat, psb_ld_csr_sparse_mat
implicit none
type(psb_d_csr_sparse_mat), intent(inout) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(amg_dml_parms), intent(inout) :: parms
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_dspmat_type), intent(inout) :: op_prol,ac, op_restr
type(psb_desc_type), intent(out) :: desc_ac
integer(psb_ipk_), intent(out) :: info
end subroutine amg_d_newmatch_spmm_bld_inner
end interface
private :: is_legal_malg, is_legal_csize, is_legal_nsweeps, is_legal_nlevels
contains
subroutine d_bld_default_w(ag,nr)
use psb_realloc_mod
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
integer(psb_ipk_), intent(in) :: nr
integer(psb_ipk_) :: info
call psb_realloc(nr,ag%w,info)
if (info /= psb_success_) return
ag%w = done
call ag%set_c_default_w()
end subroutine d_bld_default_w
subroutine d_set_default_nwm_w(ag)
use psb_realloc_mod
use iso_c_binding
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
integer(psb_ipk_) :: info
call psb_safe_ab_cpy(ag%w,ag%w_nxt,info)
ag%w_c_nxt%size = psb_size(ag%w_nxt)
ag%w_c_nxt%owns_data = 0
if (ag%w_c_nxt%size > 0) call set_cloc(ag%w_nxt, ag%w_c_nxt)
end subroutine d_set_default_nwm_w
subroutine set_cloc(vect,w_c_nxt)
use iso_c_binding
real(psb_dpk_), target :: vect(:)
type(nwm_Vector) :: w_c_nxt
w_c_nxt%data = c_loc(vect)
end subroutine set_cloc
subroutine d_newmatch_bld_wnxt(ag,ilaggr,valaggr,nx)
use psb_realloc_mod
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
integer(psb_lpk_), intent(in) :: ilaggr(:)
real(psb_dpk_), intent(in) :: valaggr(:)
integer(psb_ipk_), intent(in) :: nx
integer(psb_ipk_) :: info,i,j
! The vector was already fixed in the call to Newmatch.
call psb_realloc(nx,ag%w_nxt,info)
end subroutine d_newmatch_bld_wnxt
function d_newmatch_aggregator_fmt() result(val)
implicit none
character(len=32) :: val
val = "new matching aggregation"
end function d_newmatch_aggregator_fmt
subroutine d_newmatch_aggregator_descr(ag,parms,iout,info,prefix)
implicit none
class(amg_d_newmatch_aggregator_type), intent(in) :: ag
type(amg_dml_parms), intent(in) :: parms
integer(psb_ipk_), intent(in) :: iout
integer(psb_ipk_), intent(out) :: info
character(len=*), intent(in), optional :: prefix
character(1024) :: prefix_
if (present(prefix)) then
prefix_ = prefix
else
prefix_ = ""
end if
write(iout,*) trim(prefix_),' ','NewMatch Aggregator'
write(iout,*) trim(prefix_),' ',' Number of Matching sweeps: ',ag%n_sweeps
write(iout,*) trim(prefix_),' ',' Matching algorithm : ',ag%matching_alg
write(iout,*) trim(prefix_),' ','Aggregator object type: ',ag%fmt()
call parms%mldescr(iout,info)
return
end subroutine d_newmatch_aggregator_descr
function is_legal_malg(alg) result(val)
logical :: val
integer(psb_ipk_) :: alg
val = ((0<=alg).and.(alg<=2))
end function is_legal_malg
function is_legal_csize(csize) result(val)
logical :: val
integer(psb_ipk_) :: csize
val = ((-1==csize).or.(csize >0))
end function is_legal_csize
function is_legal_nsweeps(nsw) result(val)
logical :: val
integer(psb_ipk_) :: nsw
val = (1<=nsw)
end function is_legal_nsweeps
function is_legal_nlevels(nlv) result(val)
logical :: val
integer(psb_ipk_) :: nlv
val = (1<=nlv)
end function is_legal_nlevels
subroutine d_newmatch_aggregator_update_next(ag,agnext,info)
use psb_realloc_mod
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
class(amg_d_base_aggregator_type), target, intent(inout) :: agnext
integer(psb_ipk_), intent(out) :: info
!
!
select type(agnext)
class is (amg_d_newmatch_aggregator_type)
if (.not.is_legal_malg(agnext%matching_alg)) &
& agnext%matching_alg = ag%matching_alg
if (.not.is_legal_nsweeps(agnext%n_sweeps))&
& agnext%n_sweeps = ag%n_sweeps
if (.not.is_legal_csize(agnext%max_csize))&
& agnext%max_csize = ag%max_csize
if (.not.is_legal_nlevels(agnext%max_nlevels))&
& agnext%max_nlevels = ag%max_nlevels
! Is this going to generate shallow copies/memory leaks/double frees?
! To be investigated further.
call psb_safe_ab_cpy(ag%w_nxt,agnext%w,info)
call agnext%set_c_default_w()
class default
! What should we do here?
end select
info = 0
end subroutine d_newmatch_aggregator_update_next
subroutine amg_d_newmatch_aggr_csetr(ag,what,val,info,idx)
Implicit None
! Arguments
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
character(len=*), intent(in) :: what
real(psb_dpk_), intent(in) :: val
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: idx
integer(psb_ipk_) :: err_act, iwhat
character(len=20) :: name='d_newmatch_aggr_csetr'
info = psb_success_
! For now we ignore IDX
select case(psb_toupper(trim(what)))
case('NWM_LAMBDA')
ag%lambda = val
case default
! Do nothing
end select
return
end subroutine amg_d_newmatch_aggr_csetr
subroutine amg_d_newmatch_aggr_csetc(ag,what,val,info,idx)
Implicit None
! Arguments
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
character(len=*), intent(in) :: what
character(len=*), intent(in) :: val
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: idx
integer(psb_ipk_) :: err_act, iwhat
character(len=20) :: name='d_newmatch_aggr_csetc'
info = psb_success_
! For now we ignore IDX
select case(psb_toupper(trim(what)))
case('NWM_PARALLEL_MATCHING')
select case(psb_toupper(trim(val)))
case('SEQUENTIAL','F','FALSE')
ag%parallel_matching = .false.
case('PARALLEL','TRUE','T')
ag%parallel_matching =.true.
end select
case('NWM_REPRODUCIBLE_MATCHING')
select case(psb_toupper(trim(val)))
case('F','FALSE')
ag%reproducible_matching = .false.
case('REPRODUCIBLE','TRUE','T')
ag%reproducible_matching =.true.
end select
case('NWM_NEED_SYMMETRIZE')
select case(psb_toupper(trim(val)))
case('FALSE','F')
ag%need_symmetrize = .false.
case('SYMMETRIZE','TRUE','T')
ag%need_symmetrize =.true.
end select
case('NWM_UNSMOOTHED_HIERARCHY')
select case(psb_toupper(trim(val)))
case('F','FALSE')
ag%unsmoothed_hierarchy = .false.
case('T','TRUE')
ag%unsmoothed_hierarchy =.true.
end select
case default
! Do nothing
end select
return
end subroutine amg_d_newmatch_aggr_csetc
subroutine d_newmatch_aggr_cseti(ag,what,val,info,idx)
Implicit None
! Arguments
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
character(len=*), intent(in) :: what
integer(psb_ipk_), intent(in) :: val
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: idx
integer(psb_ipk_) :: err_act, iwhat
character(len=20) :: name='d_newmatch_aggr_cseti'
info = psb_success_
! For now we ignore IDX
select case(psb_toupper(trim(what)))
case('NWM_MATCH_ALG','NWM_MATCHING_ALG')
ag%matching_alg = val
case('NWM_SWEEPS')
ag%n_sweeps=val
case('NWM_MAX_CSIZE')
ag%max_csize = val
case('NWM_MAX_NLEVELS')
ag%max_nlevels = val
case('NWM_W_SIZE')
call ag%bld_default_w(val)
case('AGGR_SIZE')
ag%orig_aggr_size = val
ag%n_sweeps=max(1,ceiling(log(val*1.0)/log(2.0)))
case default
! Do nothing
end select
return
end subroutine d_newmatch_aggr_cseti
subroutine d_newmatch_aggr_set_default(ag)
Implicit None
! Arguments
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
character(len=20) :: name='d_newmatch_aggr_set_default'
ag%matching_alg = 1
ag%n_sweeps = 1
ag%max_nlevels = 36
ag%max_csize = -1
ag%lambda = -1
!
! Apparently newMatch works better
! by keeping all entries
!
ag%do_clean_zeros = .false.
return
end subroutine d_newmatch_aggr_set_default
subroutine d_newmatch_aggregator_free(ag,info)
use iso_c_binding
implicit none
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
integer(psb_ipk_), intent(out) :: info
info = 0
if (allocated(ag%w)) deallocate(ag%w,stat=info)
if (info /= 0) return
if (allocated(ag%w_nxt)) deallocate(ag%w_nxt,stat=info)
if (info /= 0) return
ag%w_c_nxt%size = 0
ag%w_c_nxt%data = c_null_ptr
ag%w_c_nxt%owns_data = 0
end subroutine d_newmatch_aggregator_free
subroutine d_newmatch_aggregator_clone(ag,agnext,info)
implicit none
class(amg_d_newmatch_aggregator_type), intent(inout) :: ag
class(amg_d_base_aggregator_type), allocatable, intent(inout) :: agnext
integer(psb_ipk_), intent(out) :: info
info = 0
if (allocated(agnext)) then
call agnext%free(info)
if (info == 0) deallocate(agnext,stat=info)
end if
if (info /= 0) return
allocate(agnext,source=ag,stat=info)
select type(agnext)
class is (amg_d_newmatch_aggregator_type)
call agnext%set_c_default_w()
class default
! Should never ever get here
info = -1
end select
end subroutine d_newmatch_aggregator_clone
end module amg_d_newmatch_aggregator_mod
+1
View File
@@ -57,6 +57,7 @@ module amg_d_onelev_mod
use amg_d_base_smoother_mod
use amg_d_dec_aggregator_mod
use amg_d_parmatch_aggregator_mod
use amg_d_newmatch_aggregator_mod
use psb_base_mod, only : psb_dspmat_type, psb_d_vect_type, &
& psb_d_base_vect_type, psb_ldspmat_type, psb_dlinmap_type, psb_dpk_, &
+41 -13
View File
@@ -143,9 +143,10 @@ contains
type(psb_ls_coo_sparse_mat) :: tmpcoo
logical :: display_out_, print_out_, reproducible_
logical, parameter :: dump=.false., debug=.false., dump_mate=.false., &
& debug_ilaggr=.false., debug_sync=.false.
& debug_ilaggr=.false., debug_sync=.false., debug_mate=.false.
integer(psb_ipk_), save :: idx_bldmtc=-1, idx_phase1=-1, idx_phase2=-1, idx_phase3=-1
logical, parameter :: do_timings=.true.
integer, parameter :: ilaggr_neginit=-1, ilaggr_nonlocal=-2
ictxt = desc_a%get_ctxt()
call psb_info(ictxt,iam,np)
@@ -187,7 +188,7 @@ contains
call desc_a%l2gip(ilv,info,owned=.false.)
call psb_geall(ilaggr,desc_a,info)
ilaggr = -1
ilaggr = ilaggr_neginit
call psb_geasb(ilaggr,desc_a,info)
nr = a%get_nrows()
nc = a%get_ncols()
@@ -213,7 +214,20 @@ contains
call psb_barrier(ictxt)
if (iam == 0) write(0,*)' out from buildmatching:', info
end if
if (debug_mate) then
block
integer(psb_lpk_), allocatable :: ckmate(:)
allocate(ckmate(nr))
ckmate(1:nr) = mate(1:nr)
call psb_msort(ckmate(1:nr))
do i=1,nr-1
if ((ckmate(i)>0) .and. (ckmate(i) == ckmate(i+1))) then
write(0,*) iam,' Duplicate mate entry at',i,' :',ckmate(i)
end if
end do
end block
end if
if (info == 0) then
if (do_timings) call psb_tic(idx_phase2)
if (debug_sync) then
@@ -259,7 +273,7 @@ contains
cycle
else
if (ilaggr(k) == -1) then
if (ilaggr(k) == ilaggr_neginit) then
wk = w(k)
widx = w(idx)
@@ -267,7 +281,7 @@ contains
nrmagg = wmax*sqrt((wk/wmax)**2+(widx/wmax)**2)
if (nrmagg > epsilon(nrmagg)) then
if (idx <= nr) then
if (ilaggr(idx) == -1) then
if (ilaggr(idx) == ilaggr_neginit) then
! Now, if both vertices are local, the aggregate is local
! (kinda obvious).
nlaggr(iam) = nlaggr(iam) + 1
@@ -275,6 +289,9 @@ contains
ilaggr(idx) = nlaggr(iam)
wtemp(k) = w(k)/nrmagg
wtemp(idx) = w(idx)/nrmagg
else
write(0,*) iam,' Inconsistent mate? ',k,mate(k),idx,&
&mate(idx),ilaggr(idx)
end if
nlpairs = nlpairs+1
else if (idx <= nc) then
@@ -294,7 +311,7 @@ contains
ilaggr(k) = nlaggr(iam)
nlpairs = nlpairs+1
else
ilaggr(k) = -2
ilaggr(k) = ilaggr_nonlocal
end if
else
! Use a statistically unbiased tie-breaking rule,
@@ -309,7 +326,7 @@ contains
ilaggr(k) = nlaggr(iam)
nlpairs = nlpairs+1
else
ilaggr(k) = -2
ilaggr(k) = ilaggr_nonlocal
end if
end if
end if
@@ -325,6 +342,12 @@ contains
nlsingl = nlsingl + 1
end if
end if
if (ilaggr(k) == ilaggr_neginit) then
write(0,*) iam,' Error: no update to ',k,mate(k),&
& abs(w(k)),nrmagg,epsilon(nrmagg),wtemp(k)
end if
else
if (ilaggr(k)<0) write(0,*) 'Strange? ',k,ilaggr(k)
end if
end if
end do
@@ -332,7 +355,7 @@ contains
if (do_timings) call psb_tic(idx_phase3)
! Ok, now compute offsets, gather halo and fix non-local
! aggregates (those where ilaggr == -2)
! aggregates (those where ilaggr == ilaggr_nonlocal)
call psb_sum(ictxt,nlaggr)
ntaggr = sum(nlaggr(0:np-1))
naggrm1 = sum(nlaggr(0:iam-1))
@@ -347,7 +370,7 @@ contains
call psb_halo(wtemp,desc_a,info)
! Cleanup as yet unmarked entries
do k=1,nr
if (ilaggr(k) == -2) then
if (ilaggr(k) == ilaggr_nonlocal) then
idx = mate(k)
if (idx > nr) then
i = ilaggr(idx)
@@ -359,9 +382,14 @@ contains
else
write(0,*) 'Error : unresolved (paired) index ',k,idx,i,nr,nc, ilv(k),ilv(idx)
end if
end if
if (ilaggr(k) <0) then
write(0,*) 'Matchboxp: Funny number: ',k,ilv(k),ilaggr(k),wtemp(k)
else if (ilaggr(k) <0) then
write(0,*) iam,'Matchboxp: Funny number: ',k,ilv(k),ilaggr(k),wtemp(k)
write(0,*) iam,' : : ',nr,nc,mate(k)
if (mate(k) <= nr) then
write(0,*) iam,' : : ',ilaggr(mate(k)),mate(mate(k)),&
& ilv(k),ilv(mate(k)), ilv(mate(mate(k))),ilaggr(mate(mate(k)))
end if
flush(0)
end if
end do
if (debug_sync) then
@@ -414,7 +442,7 @@ contains
end block
if (iam == 0) then
write(0,*) 'Matching statistics: Unmatched nodes ',&
write(0,*) iam,'Matching statistics: Unmatched nodes ',&
& nunmatched,' Singletons:',nlsingl,' Pairs:',nlpairs
end if
+29 -9
View File
@@ -5,7 +5,7 @@ MODDIR=../../../modules
HERE=../..
FINCLUDES=$(FMFLAG)$(HERE) $(FMFLAG)$(MODDIR) $(FMFLAG)$(INCDIR) $(PSBLAS_INCLUDES)
CXXINCLUDES=$(FMFLAG)$(HERE) $(FMFLAG)$(INCDIR) $(FMFLAG)/.
CXXINCLUDES=$(FIFLAG)$(HERE) $(FIFLAG)$(INCDIR) $(FIFLAG)/. -I../../../../ParallelRomaF-main/include -I$(PSBLAS_INCDIR)
#CINCLUDES= -I${SUPERLU_INCDIR} -I${HSL_INCDIR} -I${SPRAL_INCDIR} -I/home/users/pasqua/Ambra/BootCMatch/include -lBCM -L/home/users/pasqua/Ambra/BootCMatch/lib -lm
@@ -59,12 +59,36 @@ amg_s_parmatch_spmm_bld.o \
amg_s_parmatch_spmm_bld_ov.o \
amg_s_parmatch_unsmth_bld.o \
amg_s_parmatch_smth_bld.o \
amg_s_parmatch_spmm_bld_inner.o
amg_s_parmatch_spmm_bld_inner.o \
amg_d_newmatch_aggregator_inner_mat_asb.o\
amg_d_newmatch_aggregator_mat_asb.o \
amg_d_newmatch_aggregator_mat_bld.o \
amg_d_newmatch_aggregator_tprol.o \
amg_d_newmatch_map_to_tprol.o \
amg_d_newmatch_spmm_bld_inner.o \
amg_d_newmatch_spmm_bld_ov.o
MPCOBJS=MatchBoxPC.o \
algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC.o
MPCXXOBJS=MatchBoxPC.o \
algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC.o \
newmatch_interface.o \
sendBundledMessages.o \
initialize.o \
extractUChunk.o \
isAlreadyMatched.o \
findOwnerOfGhost.o \
clean.o \
computeCandidateMate.o \
parallelComputeCandidateMateB.o \
processMatchedVertices.o \
processMatchedVerticesAndSendMessages.o \
processCrossEdge.o \
queueTransfer.o \
processMessages.o \
processExposedVertex.o \
algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateCMP.o \
MatchingAlgorithms.o
OBJS = $(FOBJS) $(MPCOBJS)
OBJS = $(FOBJS) $(MPCOBJS) $(MPCXXOBJS)
LIBNAME=libamg_prec.a
@@ -74,10 +98,6 @@ lib: objs
$(AR) $(HERE)/$(LIBNAME) $(OBJS)
$(RANLIB) $(HERE)/$(LIBNAME)
mpobjs:
(make $(MPFOBJS) F90="$(MPF90)" F90COPT="$(F90COPT)")
(make $(MPCOBJS) CC="$(MPCC)" CCOPT="$(CCOPT)")
veryclean: clean
/bin/rm -f $(LIBNAME)
+27 -1
View File
@@ -60,17 +60,43 @@ void dMatchBoxPC(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt* ph1_card, MilanLongInt* ph2_card ) {
#if !defined(SERIAL_MPI)
MPI_Comm C_comm=MPI_Comm_f2c(icomm);
#ifdef DEBUG
fprintf(stderr,"MatchBoxPC: rank %d nlver %ld nledge %ld [ %ld %ld ]\n",
myRank,NLVer, NLEdge,verDistance[0],verDistance[1]);
#endif
dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC(NLVer, NLEdge,
#define TIME_TRACKER
#ifdef TIME_TRACKER
double tmr = MPI_Wtime();
#endif
#define OMP
#ifdef OMP
dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateCMP(NLVer, NLEdge,
verLocPtr, verLocInd, edgeLocWeight,
verDistance, Mate,
myRank, numProcs, C_comm,
msgIndSent, msgActualSent, msgPercent,
ph0_time, ph1_time, ph2_time,
ph1_card, ph2_card );
#else
dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC(NLVer, NLEdge,
verLocPtr, verLocInd, edgeLocWeight,
verDistance, Mate,
myRank, numProcs, C_comm,
msgIndSent, msgActualSent, msgPercent,
ph0_time, ph1_time, ph2_time,
ph1_card, ph2_card );
#endif
#ifdef TIME_TRACKER
tmr = MPI_Wtime() - tmr;
fprintf(stderr, "Elaboration time: %f for %ld nodes\n", tmr, NLVer);
#endif
#endif
}
+371 -104
View File
@@ -52,145 +52,412 @@
#ifndef _matchboxpC_H_
#define _matchboxpC_H_
//Turn on a lot of debugging information with this switch:
// Turn on a lot of debugging information with this switch:
//#define PRINT_DEBUG_INFO_
#include <stdio.h>
#include <iostream>
#include <assert.h>
#include <map>
#include <vector>
// #include "matchboxp.h"
#include "omp.h"
#include "primitiveDataTypeDefinitions.h"
#include "dataStrStaticQueue.h"
using namespace std;
const int NUM_THREAD = 4;
const int UCHUNK = 10;
const MilanLongInt REQUEST = 1;
const MilanLongInt SUCCESS = 2;
const MilanLongInt FAILURE = 3;
const MilanLongInt SIZEINFO = 4;
const int ComputeTag = 7; // Predefined tag
const int BundleTag = 9; // Predefined tag
static vector<MilanLongInt> DEFAULT_VECTOR;
// MPI type map
template <typename T>
MPI_Datatype TypeMap();
template <>
inline MPI_Datatype TypeMap<int64_t>() { return MPI_LONG_LONG; }
template <>
inline MPI_Datatype TypeMap<int>() { return MPI_INT; }
template <>
inline MPI_Datatype TypeMap<double>() { return MPI_DOUBLE; }
template <>
inline MPI_Datatype TypeMap<float>() { return MPI_FLOAT; }
#ifdef __cplusplus
extern "C" {
extern "C"
{
#endif
#if !defined(SERIAL_MPI)
#define MilanMpiLongInt MPI_LONG_LONG
#define MilanMpiLongInt MPI_LONG_LONG
#ifndef _primitiveDataType_Definition_
#define _primitiveDataType_Definition_
//Regular integer:
#ifndef INTEGER_H
#define INTEGER_H
typedef int32_t MilanInt;
#endif
// Regular integer:
#ifndef INTEGER_H
#define INTEGER_H
typedef int32_t MilanInt;
#endif
//Regular long integer:
#ifndef LONG_INT_H
#define LONG_INT_H
#ifdef BIT64
typedef int64_t MilanLongInt;
typedef MPI_LONG MilanMpiLongInt;
#else
typedef int32_t MilanLongInt;
typedef MPI_INT MilanMpiLongInt;
#endif
#endif
// Regular long integer:
#ifndef LONG_INT_H
#define LONG_INT_H
#ifdef BIT64
typedef int64_t MilanLongInt;
typedef MPI_LONG MilanMpiLongInt;
#else
typedef int32_t MilanLongInt;
typedef MPI_INT MilanMpiLongInt;
#endif
#endif
//Regular boolean
#ifndef BOOL_H
#define BOOL_H
typedef bool MilanBool;
#endif
// Regular boolean
#ifndef BOOL_H
#define BOOL_H
typedef bool MilanBool;
#endif
//Regular double and absolute value computation:
#ifndef REAL_H
#define REAL_H
typedef double MilanReal;
typedef MPI_DOUBLE MilanMpiReal;
inline MilanReal MilanAbs(MilanReal value)
{
return fabs(value);
}
#endif
// Regular double and absolute value computation:
#ifndef REAL_H
#define REAL_H
typedef double MilanReal;
typedef MPI_DOUBLE MilanMpiReal;
inline MilanReal MilanAbs(MilanReal value)
{
return fabs(value);
}
#endif
//Regular float and absolute value computation:
#ifndef FLOAT_H
#define FLOAT_H
typedef float MilanFloat;
typedef MPI_FLOAT MilanMpiFloat;
inline MilanFloat MilanAbsFloat(MilanFloat value)
{
return fabs(value);
}
#endif
// Regular float and absolute value computation:
#ifndef FLOAT_H
#define FLOAT_H
typedef float MilanFloat;
typedef MPI_FLOAT MilanMpiFloat;
inline MilanFloat MilanAbsFloat(MilanFloat value)
{
return fabs(value);
}
#endif
//// Define the limits:
#ifndef LIMITS_H
#define LIMITS_H
//Integer Maximum and Minimum:
// #define MilanIntMax INT_MAX
// #define MilanIntMin INT_MIN
#define MilanIntMax INT32_MAX
#define MilanIntMin INT32_MIN
//// Define the limits:
#ifndef LIMITS_H
#define LIMITS_H
// Integer Maximum and Minimum:
// #define MilanIntMax INT_MAX
// #define MilanIntMin INT_MIN
#define MilanIntMax INT32_MAX
#define MilanIntMin INT32_MIN
#ifdef BIT64
#define MilanLongIntMax INT64_MAX
#define MilanLongIntMin -INT64_MAX
#else
#define MilanLongIntMax INT32_MAX
#define MilanLongIntMin -INT32_MAX
#endif
#ifdef BIT64
#define MilanLongIntMax INT64_MAX
#define MilanLongIntMin -INT64_MAX
#else
#define MilanLongIntMax INT32_MAX
#define MilanLongIntMin -INT32_MAX
#endif
#endif
#endif
// +INFINITY
const double PLUS_INFINITY = numeric_limits<int>::infinity();
const double MINUS_INFINITY = -PLUS_INFINITY;
//#define MilanRealMax LDBL_MAX
#define MilanRealMax PLUS_INFINITY
#define MilanRealMin MINUS_INFINITY
//#define MilanRealMax LDBL_MAX
#define MilanRealMax PLUS_INFINITY
#define MilanRealMin MINUS_INFINITY
#endif
//Function of find the owner of a ghost vertex using binary search:
inline MilanInt findOwnerOfGhost(MilanLongInt vtxIndex, MilanLongInt *mVerDistance,
MilanInt myRank, MilanInt numProcs);
// Function of find the owner of a ghost vertex using binary search:
MilanInt findOwnerOfGhost(MilanLongInt vtxIndex, MilanLongInt *mVerDistance,
MilanInt myRank, MilanInt numProcs);
void dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC
(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt* verLocPtr, MilanLongInt* verLocInd, MilanReal* edgeLocWeight,
MilanLongInt* verDistance,
MilanLongInt* Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt* msgIndSent, MilanLongInt* msgActualSent, MilanReal* msgPercent,
MilanReal* ph0_time, MilanReal* ph1_time, MilanReal* ph2_time,
MilanLongInt* ph1_card, MilanLongInt* ph2_card );
MilanLongInt firstComputeCandidateMate(MilanLongInt adj1,
MilanLongInt adj2,
MilanLongInt *verLocInd,
MilanReal *edgeLocWeight);
void salgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC
(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt* verLocPtr, MilanLongInt* verLocInd, MilanFloat* edgeLocWeight,
MilanLongInt* verDistance,
MilanLongInt* Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt* msgIndSent, MilanLongInt* msgActualSent, MilanReal* msgPercent,
MilanReal* ph0_time, MilanReal* ph1_time, MilanReal* ph2_time,
MilanLongInt* ph1_card, MilanLongInt* ph2_card );
void queuesTransfer(vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner);
void dMatchBoxPC(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt* verLocPtr, MilanLongInt* verLocInd, MilanReal* edgeLocWeight,
MilanLongInt* verDistance,
MilanLongInt* Mate,
MilanInt myRank, MilanInt numProcs, MilanInt icomm,
MilanLongInt* msgIndSent, MilanLongInt* msgActualSent, MilanReal* msgPercent,
MilanReal* ph0_time, MilanReal* ph1_time, MilanReal* ph2_time,
MilanLongInt* ph1_card, MilanLongInt* ph2_card );
bool isAlreadyMatched(MilanLongInt node,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap);
void sMatchBoxPC(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt* verLocPtr, MilanLongInt* verLocInd, MilanFloat* edgeLocWeight,
MilanLongInt* verDistance,
MilanLongInt* Mate,
MilanInt myRank, MilanInt numProcs, MilanInt icomm,
MilanLongInt* msgIndSent, MilanLongInt* msgActualSent, MilanReal* msgPercent,
MilanReal* ph0_time, MilanReal* ph1_time, MilanReal* ph2_time,
MilanLongInt* ph1_card, MilanLongInt* ph2_card );
MilanLongInt computeCandidateMate(MilanLongInt adj1,
MilanLongInt adj2,
MilanReal *edgeLocWeight,
MilanLongInt k,
MilanLongInt *verLocInd,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap);
void initialize(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt StartIndex, MilanLongInt EndIndex,
MilanLongInt *numGhostEdgesPtr,
MilanLongInt *numGhostVerticesPtr,
MilanLongInt *S,
MilanLongInt *verLocInd,
MilanLongInt *verLocPtr,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
vector<MilanLongInt> &Counter,
vector<MilanLongInt> &verGhostPtr,
vector<MilanLongInt> &verGhostInd,
vector<MilanLongInt> &tempCounter,
vector<MilanLongInt> &GMate,
vector<MilanLongInt> &Message,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
MilanLongInt *&candidateMate,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner);
void clean(MilanLongInt NLVer,
MilanInt myRank,
MilanLongInt MessageIndex,
vector<MPI_Request> &SRequest,
vector<MPI_Status> &SStatus,
MilanInt BufferSize,
MilanLongInt *Buffer,
MilanLongInt msgActual,
MilanLongInt *msgActualSent,
MilanLongInt msgInd,
MilanLongInt *msgIndSent,
MilanLongInt NumMessagesBundled,
MilanReal *msgPercent);
void PARALLEL_COMPUTE_CANDIDATE_MATE_B(MilanLongInt NLVer,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanInt myRank,
MilanReal *edgeLocWeight,
MilanLongInt *candidateMate);
void PARALLEL_PROCESS_EXPOSED_VERTEX_B(MilanLongInt NLVer,
MilanLongInt *candidateMate,
MilanLongInt *verLocInd,
MilanLongInt *verLocPtr,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *Mate,
vector<MilanLongInt> &GMate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
MilanLongInt *myCardPtr,
MilanLongInt *msgIndPtr,
MilanLongInt *NumMessagesBundledPtr,
MilanLongInt *SPtr,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner);
void PROCESS_CROSS_EDGE(MilanLongInt *edge,
MilanLongInt *SPtr);
void processMatchedVertices(
MilanLongInt NLVer,
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCardPtr,
MilanLongInt *msgIndPtr,
MilanLongInt *NumMessagesBundledPtr,
MilanLongInt *SPtr,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
MilanLongInt *candidateMate,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner);
void processMatchedVerticesAndSendMessages(
MilanLongInt NLVer,
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCardPtr,
MilanLongInt *msgIndPtr,
MilanLongInt *NumMessagesBundledPtr,
MilanLongInt *SPtr,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
MilanLongInt *candidateMate,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner,
MPI_Comm comm,
MilanLongInt *msgActual,
vector<MilanLongInt> &Message);
void sendBundledMessages(MilanLongInt *numGhostEdgesPtr,
MilanInt *BufferSizePtr,
MilanLongInt *Buffer,
vector<MilanLongInt> &PCumulative,
vector<MilanLongInt> &PMessageBundle,
vector<MilanLongInt> &PSizeInfoMessages,
MilanLongInt *PCounter,
MilanLongInt NumMessagesBundled,
MilanLongInt *msgActualPtr,
MilanLongInt *MessageIndexPtr,
MilanInt numProcs,
MilanInt myRank,
MPI_Comm comm,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MPI_Request> &SRequest,
vector<MPI_Status> &SStatus);
void processMessages(
MilanLongInt NLVer,
MilanLongInt *Mate,
MilanLongInt *candidateMate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
vector<MilanLongInt> &GMate,
vector<MilanLongInt> &Counter,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCardPtr,
MilanLongInt *msgIndPtr,
MilanLongInt *msgActualPtr,
MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *verLocPtr,
MilanLongInt k,
MilanLongInt *verLocInd,
MilanInt numProcs,
MilanInt myRank,
MPI_Comm comm,
vector<MilanLongInt> &Message,
MilanLongInt numGhostEdges,
MilanLongInt u,
MilanLongInt v,
MilanLongInt *SPtr,
vector<MilanLongInt> &U);
void extractUChunk(
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU);
void dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateCMP(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd, MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent, MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card);
void dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd, MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent, MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card);
void salgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd, MilanFloat *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent, MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card);
void dMatchBoxPC(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd, MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MilanInt icomm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent, MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card);
void sMatchBoxPC(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd, MilanFloat *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MilanInt icomm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent, MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card);
#endif
#ifdef __cplusplus
@@ -72,12 +72,6 @@
#ifdef SERIAL_MPI
#else
//MPI type map
template<typename T> MPI_Datatype TypeMap();
template<> inline MPI_Datatype TypeMap<int64_t>() { return MPI_LONG_LONG; }
template<> inline MPI_Datatype TypeMap<int>() { return MPI_INT; }
template<> inline MPI_Datatype TypeMap<double>() { return MPI_DOUBLE; }
template<> inline MPI_Datatype TypeMap<float>() { return MPI_FLOAT; }
// DOUBLE PRECISION VERSION
//WARNING: The vertex block on a given rank is contiguous
@@ -0,0 +1,554 @@
#include "MatchBoxPC.h"
// ***********************************************************************
//
// MatchboxP: A C++ library for approximate weighted matching
// Mahantesh Halappanavar (hala@pnnl.gov)
// Pacific Northwest National Laboratory
//
// ***********************************************************************
//
// Copyright (2021) Battelle Memorial Institute
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the copyright holder nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
// FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
// COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// ************************************************************************
//////////////////////////////////////////////////////////////////////////////////////
/////////////////////////// DOMINATING EDGES MODEL ///////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////////
/* Function : algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMate()
*
* Date : New update: Feb 17, 2019, Richland, Washington.
* Date : Original development: May 17, 2009, E&CS Bldg.
*
* Purpose : Compute Approximate Maximum Weight Matching in Linear Time
*
* Args : inputMatrix - instance of Compressed-Col format of Matrix
* Mate - The Mate array
*
* Returns : By Value: (void)
* By Reference: Mate
*
* Comments : 1/2 Approx Algorithm. Picks the locally available heaviest edge.
* Assumption: The Mate Array is empty.
*/
/*
NLVer = #of vertices, NLEdge = #of edges
CSR/CSC/Compressed format: verLocPtr = Pointer, verLocInd = Index, edgeLocWeight = edge weights (positive real numbers)
verDistance = A vector of size |P|+1 containing the cumulative number of vertices per process
Mate = A vector of size |V_p| (local subgraph) to store the output (matching)
MPI: myRank, numProcs, comm,
Statistics: msgIndSent, msgActualSent, msgPercent : Size: |P| number of processes in the comm-world
Statistics: ph0_time, ph1_time, ph2_time: Runtimes
Statistics: ph1_card, ph2_card : Size: |P| number of processes in the comm-world (number of matched edges in Phase 1 and Phase 2)
*/
//#define DEBUG_HANG_
#ifdef SERIAL_MPI
#else
// DOUBLE PRECISION VERSION
// WARNING: The vertex block on a given rank is contiguous
void dalgoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateCMP(
MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt *verLocPtr, MilanLongInt *verLocInd,
MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *Mate,
MilanInt myRank, MilanInt numProcs, MPI_Comm comm,
MilanLongInt *msgIndSent, MilanLongInt *msgActualSent,
MilanReal *msgPercent,
MilanReal *ph0_time, MilanReal *ph1_time, MilanReal *ph2_time,
MilanLongInt *ph1_card, MilanLongInt *ph2_card)
{
/*
* verDistance: it's a vector long as the number of processors.
* verDistance[i] contains the first node index of the i-th processor
* verDistance[i + 1] contains the last node index of the i-th processor
* NLVer: number of elements in the LocPtr
* NLEdge: number of edges assigned to the current processor
*
* Contains the portion of matrix assigned to the processor in
* Yale notation
* verLocInd: contains the positions on row of the matrix
* verLocPtr: i-th value is the position of the first element on the i-th row and
* i+1-th value is the position of the first element on the i+1-th row
*/
#if !defined(SERIAL_MPI)
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Within algoEdgeApproxDominatingEdgesLinearSearchMessageBundling()";
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ") verDistance [" ;
for (int i = 0; i < numProcs; i++)
cout << verDistance[i] << "," << verDistance[i+1];
cout << "]\n";
fflush(stdout);
#endif
#ifdef DEBUG_HANG_
if (myRank == 0) {
cout << "\n(" << myRank << ") verDistance [" ;
for (int i = 0; i < numProcs; i++)
cout << verDistance[i] << "," ;
cout << verDistance[numProcs]<< "]\n";
}
fflush(stdout);
#endif
MilanLongInt StartIndex = verDistance[myRank]; // The starting vertex owned by the current rank
MilanLongInt EndIndex = verDistance[myRank + 1] - 1; // The ending vertex owned by the current rank
MPI_Status computeStatus;
MilanLongInt msgActual = 0, msgInd = 0;
MilanReal heaviestEdgeWt = 0.0f; // Assumes positive weight
MilanReal startTime, finishTime;
startTime = MPI_Wtime();
// Data structures for sending and receiving messages:
vector<MilanLongInt> Message; // [ u, v, message_type ]
Message.resize(3, -1);
// Data structures for Message Bundling:
// Although up to two messages can be sent along any cross edge,
// only one message will be sent in the initialization phase -
// one of: REQUEST/FAILURE/SUCCESS
vector<MilanLongInt> QLocalVtx, QGhostVtx, QMsgType;
vector<MilanInt> QOwner; // Changed by Fabio to be an integer, addresses needs to be integers!
MilanLongInt *PCounter = new MilanLongInt[numProcs];
for (int i = 0; i < numProcs; i++)
PCounter[i] = 0;
MilanLongInt NumMessagesBundled = 0;
// TODO when the last computational section will be refactored this could be eliminated
MilanInt ghostOwner = 0; // Changed by Fabio to be an integer, addresses needs to be integers!
MilanLongInt *candidateMate = nullptr;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")NV: " << NLVer << " Edges: " << NLEdge;
fflush(stdout);
cout << "\n(" << myRank << ")StartIndex: " << StartIndex << " EndIndex: " << EndIndex;
fflush(stdout);
#endif
// Other Variables:
MilanLongInt u = -1, v = -1, w = -1, i = 0;
MilanLongInt k = -1, adj1 = -1, adj2 = -1;
MilanLongInt k1 = -1, adj11 = -1, adj12 = -1;
MilanLongInt myCard = 0;
// Build the Ghost Vertex Set: Vg
map<MilanLongInt, MilanLongInt> Ghost2LocalMap; // Map each ghost vertex to a local vertex
vector<MilanLongInt> Counter; // Store the edge count for each ghost vertex
MilanLongInt numGhostVertices = 0, numGhostEdges = 0; // Number of Ghost vertices
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")About to compute Ghost Vertices...";
fflush(stdout);
#endif
#ifdef DEBUG_HANG_
if (myRank == 0)
cout << "\n(" << myRank << ")About to compute Ghost Vertices...";
fflush(stdout);
#endif
// Define Adjacency Lists for Ghost Vertices:
// cout<<"Building Ghost data structures ... \n\n";
vector<MilanLongInt> verGhostPtr, verGhostInd, tempCounter;
// Mate array for ghost vertices:
vector<MilanLongInt> GMate; // Proportional to the number of ghost vertices
MilanLongInt S;
MilanLongInt privateMyCard = 0;
vector<MilanLongInt> PCumulative, PMessageBundle, PSizeInfoMessages;
vector<MPI_Request> SRequest; // Requests that are used for each send message
vector<MPI_Status> SStatus; // Status of sent messages, used in MPI_Wait
MilanLongInt MessageIndex = 0; // Pointer for current message
MilanInt BufferSize;
MilanLongInt *Buffer;
vector<MilanLongInt> privateQLocalVtx, privateQGhostVtx, privateQMsgType;
vector<MilanInt> privateQOwner;
vector<MilanLongInt> U, privateU;
initialize(NLVer, NLEdge, StartIndex,
EndIndex, &numGhostEdges,
&numGhostVertices, &S,
verLocInd, verLocPtr,
Ghost2LocalMap, Counter,
verGhostPtr, verGhostInd,
tempCounter, GMate,
Message, QLocalVtx,
QGhostVtx, QMsgType, QOwner,
candidateMate, U,
privateU,
privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
finishTime = MPI_Wtime();
*ph0_time = finishTime - startTime; // Time taken for Phase-0: Initialization
#ifdef DEBUG_HANG_
cout << myRank << " Finished initialization" << endl;
fflush(stdout);
#endif
startTime = MPI_Wtime();
/////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////// INITIALIZATION /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////
// Compute the Initial Matching Set:
/*
* OMP PARALLEL_COMPUTE_CANDIDATE_MATE_B has been splitted from
* PARALLEL_PROCESS_EXPOSED_VERTEX_B in order to better parallelize
* the two.
* PARALLEL_COMPUTE_CANDIDATE_MATE_B is now totally parallel.
*/
PARALLEL_COMPUTE_CANDIDATE_MATE_B(NLVer,
verLocPtr,
verLocInd,
myRank,
edgeLocWeight,
candidateMate);
#ifdef DEBUG_HANG_
cout << myRank << " Finished Exposed Vertex" << endl;
fflush(stdout);
#if 0
cout << myRank << " candidateMate after parallelCompute " <<endl;
for (int i=0; i<NLVer; i++) {
cout << candidateMate[i] << " " ;
}
cout << endl;
#endif
#endif
/*
* PARALLEL_PROCESS_EXPOSED_VERTEX_B
* TODO: write comment
*
* TODO: Test when it's actually more efficient to execute this code
* in parallel.
*/
PARALLEL_PROCESS_EXPOSED_VERTEX_B(NLVer,
candidateMate,
verLocInd,
verLocPtr,
StartIndex,
EndIndex,
Mate,
GMate,
Ghost2LocalMap,
edgeLocWeight,
&myCard,
&msgInd,
&NumMessagesBundled,
&S,
verDistance,
PCounter,
Counter,
myRank,
numProcs,
U,
privateU,
QLocalVtx,
QGhostVtx,
QMsgType,
QOwner,
privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
tempCounter.clear(); // Do not need this any more
#ifdef DEBUG_HANG_
cout << myRank << " Finished Exposed Vertex" << endl;
fflush(stdout);
#if 0
cout << myRank << " Mate after Exposed Vertices " <<endl;
for (int i=0; i<NLVer; i++) {
cout << Mate[i] << " " ;
}
cout << endl;
#endif
#endif
///////////////////////////////////////////////////////////////////////////////////
/////////////////////////// PROCESS MATCHED VERTICES //////////////////////////////
///////////////////////////////////////////////////////////////////////////////////
// TODO what would be the optimal UCHUNK
vector<MilanLongInt> UChunkBeingProcessed;
UChunkBeingProcessed.reserve(UCHUNK);
processMatchedVertices(NLVer,
UChunkBeingProcessed,
U,
privateU,
StartIndex,
EndIndex,
&myCard,
&msgInd,
&NumMessagesBundled,
&S,
verLocPtr,
verLocInd,
verDistance,
PCounter,
Counter,
myRank,
numProcs,
candidateMate,
GMate,
Mate,
Ghost2LocalMap,
edgeLocWeight,
QLocalVtx,
QGhostVtx,
QMsgType,
QOwner,
privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
#ifdef DEBUG_HANG_
cout << myRank << " Finished Process Vertices" << endl;
fflush(stdout);
#if 0
cout << myRank << " Mate after Matched Vertices " <<endl;
for (int i=0; i<NLVer; i++) {
cout << Mate[i] << " " ;
}
cout << endl;
#endif
#endif
/////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////// SEND BUNDLED MESSAGES /////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////
sendBundledMessages(&numGhostEdges,
&BufferSize,
Buffer,
PCumulative,
PMessageBundle,
PSizeInfoMessages,
PCounter,
NumMessagesBundled,
&msgActual,
&MessageIndex,
numProcs,
myRank,
comm,
QLocalVtx,
QGhostVtx,
QMsgType,
QOwner,
SRequest,
SStatus);
///////////////////////// END OF SEND BUNDLED MESSAGES //////////////////////////////////
finishTime = MPI_Wtime();
*ph1_time = finishTime - startTime; // Time taken for Phase-1
#ifdef DEBUG_HANG_
cout << myRank << " Finished sendBundles" << endl;
fflush(stdout);
#endif
*ph1_card = myCard; // Cardinality at the end of Phase-1
startTime = MPI_Wtime();
/////////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////// MAIN LOOP //////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////
// Main While Loop:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Entering While(true) loop..";
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
while (true) {
#ifdef DEBUG_HANG_
//if (myRank == 0)
cout << "\n(" << myRank << ") Main loop" << endl;
fflush(stdout);
#endif
///////////////////////////////////////////////////////////////////////////////////
/////////////////////////// PROCESS MATCHED VERTICES //////////////////////////////
///////////////////////////////////////////////////////////////////////////////////
processMatchedVerticesAndSendMessages(NLVer,
UChunkBeingProcessed,
U,
privateU,
StartIndex,
EndIndex,
&myCard,
&msgInd,
&NumMessagesBundled,
&S,
verLocPtr,
verLocInd,
verDistance,
PCounter,
Counter,
myRank,
numProcs,
candidateMate,
GMate,
Mate,
Ghost2LocalMap,
edgeLocWeight,
QLocalVtx,
QGhostVtx,
QMsgType,
QOwner,
privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner,
comm,
&msgActual,
Message);
///////////////////////// END OF PROCESS MATCHED VERTICES /////////////////////////
//// BREAK IF NO MESSAGES EXPECTED /////////
#ifdef DEBUG_HANG_
#if 0
cout << myRank << " Mate after ProcessMatchedAndSend phase "<<S <<endl;
for (int i=0; i<NLVer; i++) {
cout << Mate[i] << " " ;
}
cout << endl;
#endif
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Deciding whether to break: S= " << S << endl;
#endif
if (S == 0) {
#ifdef DEBUG_HANG_
cout << "\n(" << myRank << ") Breaking out" << endl;
fflush(stdout);
#endif
break;
}
///////////////////////////////////////////////////////////////////////////////////
/////////////////////////// PROCESS MESSAGES //////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////
processMessages(NLVer,
Mate,
candidateMate,
Ghost2LocalMap,
GMate,
Counter,
StartIndex,
EndIndex,
&myCard,
&msgInd,
&msgActual,
edgeLocWeight,
verDistance,
verLocPtr,
k,
verLocInd,
numProcs,
myRank,
comm,
Message,
numGhostEdges,
u,
v,
&S,
U);
///////////////////////// END OF PROCESS MESSAGES /////////////////////////////////
#ifdef DEBUG_HANG_
#if 0
cout << myRank << " Mate after ProcessMessages phase "<<S <<endl;
for (int i=0; i<NLVer; i++) {
cout << Mate[i] << " " ;
}
cout << endl;
#endif
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Finished Message processing phase: S= " << S;
fflush(stdout);
cout << "\n(" << myRank << ")** SENT : ACTUAL= " << msgActual;
fflush(stdout);
cout << "\n(" << myRank << ")** SENT : INDIVIDUAL= " << msgInd << endl;
fflush(stdout);
#endif
} // End of while (true)
clean(NLVer,
myRank,
MessageIndex,
SRequest,
SStatus,
BufferSize,
Buffer,
msgActual,
msgActualSent,
msgInd,
msgIndSent,
NumMessagesBundled,
msgPercent);
finishTime = MPI_Wtime();
*ph2_time = finishTime - startTime; // Time taken for Phase-2
*ph2_card = myCard; // Cardinality at the end of Phase-2
}
// End of algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMate
#endif
#endif
@@ -97,6 +97,8 @@ subroutine amg_c_dec_aggregator_build_tprol(ag,parms,ag_data,&
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: debug_level, debug_unit
logical :: clean_zeros
integer(psb_ipk_), save :: idx_map_bld=-1, idx_map_tprol=-1
logical, parameter :: do_timings=.false.
name='amg_c_dec_aggregator_tprol'
call psb_erractionsave(err_act)
@@ -108,6 +110,10 @@ subroutine amg_c_dec_aggregator_build_tprol(ag,parms,ag_data,&
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_map_bld==-1)) &
& idx_map_bld = psb_get_timer_idx("DEC_TPROL: map_bld")
if ((do_timings).and.(idx_map_tprol==-1)) &
& idx_map_tprol = psb_get_timer_idx("DEC_TPROL: map_tprol")
call amg_check_def(parms%ml_cycle,'Multilevel cycle',&
& amg_mult_ml_,is_legal_ml_cycle)
@@ -121,10 +127,14 @@ subroutine amg_c_dec_aggregator_build_tprol(ag,parms,ag_data,&
! The decoupled aggregator based on SOC measures ignores
! ag_data except for clean_zeros; soc_map_bld is a procedure pointer.
!
if (do_timings) call psb_tic(idx_map_bld)
clean_zeros = ag%do_clean_zeros
call ag%soc_map_bld(parms%aggr_ord,parms%aggr_thresh,clean_zeros,a,desc_a,nlaggr,ilaggr,info)
if (do_timings) call psb_toc(idx_map_bld)
if (do_timings) call psb_tic(idx_map_tprol)
if (info==psb_success_) call amg_map_to_tprol(desc_a,ilaggr,nlaggr,t_prol,info)
if (do_timings) call psb_toc(idx_map_tprol)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err='soc_map_bld/map_to_tprol')
@@ -140,6 +140,9 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
real(psb_spk_) :: anorm, omega, tmp, dg, theta
logical, parameter :: debug_new=.false.
character(len=80) :: filename
logical, parameter :: do_timings=.false.
integer(psb_ipk_), save :: idx_spspmm=-1, idx_phase1=-1, idx_gtrans=-1, idx_phase2=-1, idx_refine=-1
integer(psb_ipk_), save :: idx_phase3=-1, idx_cdasb=-1, idx_ptap=-1
name='amg_aggrmat_smth_bld'
info=psb_success_
@@ -153,6 +156,23 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
ctxt = desc_a%get_context()
call psb_info(ctxt, me, np)
if ((do_timings).and.(idx_spspmm==-1)) &
& idx_spspmm = psb_get_timer_idx("DEC_SMTH_BLD: par_spspmm")
if ((do_timings).and.(idx_phase1==-1)) &
& idx_phase1 = psb_get_timer_idx("DEC_SMTH_BLD: phase1 ")
if ((do_timings).and.(idx_phase2==-1)) &
& idx_phase2 = psb_get_timer_idx("DEC_SMTH_BLD: phase2 ")
if ((do_timings).and.(idx_phase3==-1)) &
& idx_phase3 = psb_get_timer_idx("DEC_SMTH_BLD: phase3 ")
if ((do_timings).and.(idx_gtrans==-1)) &
& idx_gtrans = psb_get_timer_idx("DEC_SMTH_BLD: gtrans ")
if ((do_timings).and.(idx_refine==-1)) &
& idx_refine = psb_get_timer_idx("DEC_SMTH_BLD: refine ")
if ((do_timings).and.(idx_cdasb==-1)) &
& idx_cdasb = psb_get_timer_idx("DEC_SMTH_BLD: cdasb ")
if ((do_timings).and.(idx_ptap==-1)) &
& idx_ptap = psb_get_timer_idx("DEC_SMTH_BLD: ptap_bld ")
nglob = desc_a%get_global_rows()
nrow = desc_a%get_local_rows()
@@ -171,6 +191,7 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
! naggr: number of local aggregates
! nrow: local rows.
!
if (do_timings) call psb_tic(idx_phase1)
! Get the diagonal D
adiag = a%get_diag(info)
@@ -196,7 +217,7 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
!
! Build the filtered matrix Af from A
!
!$OMP parallel do private(i,j,tmp,jd) schedule(static)
do i=1, nrow
tmp = czero
jd = -1
@@ -214,11 +235,13 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
acsrf%val(jd)=acsrf%val(jd)-tmp
end if
enddo
!$OMP end parallel do
! Take out zeroed terms
call acsrf%clean_zeros(info)
end if
!$OMP parallel do private(i) schedule(static)
do i=1,size(adiag)
if (adiag(i) /= czero) then
adiag(i) = cone / adiag(i)
@@ -226,7 +249,7 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
adiag(i) = cone
end if
end do
!$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then
if (parms%aggr_eig == amg_max_norm_) then
@@ -252,8 +275,9 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(info,name,a_err='invalid amg_aggr_omega_alg_')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase1)
if (do_timings) call psb_tic(idx_phase2)
call acsrf%scal(adiag,info)
if (info /= psb_success_) goto 9999
@@ -267,6 +291,8 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_cdasb(desc_ac,info)
call psb_cd_reinit(desc_ac,info)
if (do_timings) call psb_toc(idx_phase2)
if (do_timings) call psb_tic(idx_phase3)
!
! Build the smoothed prolongator using either A or Af
! acsr1 = (I-w*D*A) Prol acsr1 = (I-w*D*Af) Prol
@@ -279,8 +305,8 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(psb_err_from_subroutine_,name,a_err='spspmm 1')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase3)
if (do_timings) call psb_tic(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done SPSPMM 1'
@@ -292,7 +318,7 @@ subroutine amg_caggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call op_prol%mv_from(coo_prol)
call op_restr%mv_from(coo_restr)
if (do_timings) call psb_toc(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done smooth_aggregate '
@@ -97,6 +97,8 @@ subroutine amg_d_dec_aggregator_build_tprol(ag,parms,ag_data,&
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: debug_level, debug_unit
logical :: clean_zeros
integer(psb_ipk_), save :: idx_map_bld=-1, idx_map_tprol=-1
logical, parameter :: do_timings=.false.
name='amg_d_dec_aggregator_tprol'
call psb_erractionsave(err_act)
@@ -108,6 +110,10 @@ subroutine amg_d_dec_aggregator_build_tprol(ag,parms,ag_data,&
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_map_bld==-1)) &
& idx_map_bld = psb_get_timer_idx("DEC_TPROL: map_bld")
if ((do_timings).and.(idx_map_tprol==-1)) &
& idx_map_tprol = psb_get_timer_idx("DEC_TPROL: map_tprol")
call amg_check_def(parms%ml_cycle,'Multilevel cycle',&
& amg_mult_ml_,is_legal_ml_cycle)
@@ -121,10 +127,14 @@ subroutine amg_d_dec_aggregator_build_tprol(ag,parms,ag_data,&
! The decoupled aggregator based on SOC measures ignores
! ag_data except for clean_zeros; soc_map_bld is a procedure pointer.
!
if (do_timings) call psb_tic(idx_map_bld)
clean_zeros = ag%do_clean_zeros
call ag%soc_map_bld(parms%aggr_ord,parms%aggr_thresh,clean_zeros,a,desc_a,nlaggr,ilaggr,info)
if (do_timings) call psb_toc(idx_map_bld)
if (do_timings) call psb_tic(idx_map_tprol)
if (info==psb_success_) call amg_map_to_tprol(desc_a,ilaggr,nlaggr,t_prol,info)
if (do_timings) call psb_toc(idx_map_tprol)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err='soc_map_bld/map_to_tprol')
@@ -0,0 +1,166 @@
!
!
! AMG4PSBLAS version 1.0
! Algebraic Multigrid Package
! based on PSBLAS (Parallel Sparse BLAS version 3.7)
!
! (C) Copyright 2021
!
! Salvatore Filippone
! Pasqua D'Ambra
! Fabio Durastante
!
! Redistribution and use in source and binary forms, with or without
! modification, are permitted provided that the following conditions
! are met:
! 1. Redistributions of source code must retain the above copyright
! notice, this list of conditions and the following disclaimer.
! 2. Redistributions in binary form must reproduce the above copyright
! notice, this list of conditions, and the following disclaimer in the
! documentation and/or other materials provided with the distribution.
! 3. The name of the AMG4PSBLAS group or the names of its contributors may
! not be used to endorse or promote products derived from this
! software without specific written permission.
!
! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AMG4PSBLAS GROUP OR ITS CONTRIBUTORS
! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
! POSSIBILITY OF SUCH DAMAGE.
!
! File: amg_d_newmatch_aggregator_mat_asb.f90
!
! Subroutine: amg_d_newmatch_aggregator_mat_asb
! Version: real
!
!
! From a given AC to final format, generating DESC_AC.
! This is quite involved, because in the context of aggregation based
! on parallel matching we are building the matrix hierarchy within BLD_TPROL
! as we go, especially if we have multiple sweeps, hence this code is called
! in two completely different contexts:
! 1. Within bld_tprol for the internal hierarchy
! 2. Outside, from amg_hierarchy_bld
! The solution we have found is for bld_tprol to copy its output
! into special components ag%ac ag%desc_ac etc so that:
! 1. if they are allocated, it means that bld_tprol has been already invoked, we are in
! amg_hierarchy_bld and we only need to copy them
! 2. If they are not allocated, we are within bld_tprol, and we need to actually
! perform the various needed steps.
!
! Arguments:
! ag - type(amg_d_newmatch_aggregator_type), input/output.
! The aggregator object
! parms - type(amg_dml_parms), input
! The aggregation parameters
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! ilaggr - integer, dimension(:), input
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! ac - type(psb_dspmat_type), inout
! The coarse matrix
! desc_ac - type(psb_desc_type), output.
! The communication descriptor of the fine-level matrix.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
!
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), input/output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
subroutine amg_d_newmatch_aggregator_inner_mat_asb(ag,parms,a,desc_a,&
& ac,desc_ac, op_prol,op_restr,info)
use psb_base_mod
use amg_base_prec_type
#if defined(SERIAL_MPI)
use amg_d_newmatch_aggregator_mod
#else
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_aggregator_inner_mat_asb
#endif
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(in) :: desc_a
type(psb_dspmat_type), intent(inout) :: op_prol,op_restr
type(psb_dspmat_type), intent(inout) :: ac
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
!
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: np, me
type(psb_ld_coo_sparse_mat) :: acoo, bcoo
type(psb_ld_csr_sparse_mat) :: acsr1
integer(psb_ipk_) :: nzl, inl
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: err_act, debug_level, debug_unit
character(len=20) :: name='d_newmatch_inner_mat_asb'
character(len=80) :: aname
logical, parameter :: debug=.false., dump_prol_restr=.false.
if (psb_get_errstatus().ne.0) return
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
info = psb_success_
ictxt = desc_a%get_context()
call psb_info(ictxt,me,np)
#if !defined(SERIAL_MPI)
if (debug) write(0,*) me,' ',trim(name),' Start:',&
& allocated(ag%ac),allocated(ag%desc_ac), allocated(ag%prol),allocated(ag%restr)
select case(parms%coarse_mat)
case(amg_distr_mat_)
! Do nothing, it has already been done in spmm_bld_ov.
case(amg_repl_mat_)
!
!
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='no repl coarse_mat_ here')
goto 9999
case default
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='invalid amg_coarse_mat_')
goto 9999
end select
#endif
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_aggregator_inner_mat_asb
@@ -0,0 +1,150 @@
!
!
! File: amg_d_newmatch_aggregator_mat_asb.f90
!
! Subroutine: amg_d_newmatch_aggregator_mat_asb
! Version: real
!
!
! From a given AC to final format, generating DESC_AC
!
! Arguments:
! ag - type(amg_d_newmatch_aggregator_type), input/output.
! The aggregator object
! parms - type(amg_dml_parms), input
! The aggregation parameters
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! ilaggr - integer, dimension(:), input
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! ac - type(psb_dspmat_type), inout
! The coarse matrix
! desc_ac - type(psb_desc_type), output.
! The communication descriptor of the fine-level matrix.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
!
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), input/output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
subroutine amg_d_newmatch_aggregator_mat_asb(ag,parms,a,desc_a,&
& ac,desc_ac, op_prol,op_restr,info)
use psb_base_mod
use amg_base_prec_type
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_aggregator_mat_asb
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(inout) :: desc_a
type(psb_dspmat_type), intent(inout) :: op_prol, ac,op_restr
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
!
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: np, me
type(psb_ld_coo_sparse_mat) :: tmpcoo
type(psb_ldspmat_type) :: tmp_ac
integer(psb_ipk_) :: i_nr, i_nc, i_nl, nzl
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: err_act, debug_level, debug_unit
character(len=20) :: name='d_newmatch_aggregator_mat_asb'
if (psb_get_errstatus().ne.0) return
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
select case(parms%coarse_mat)
case(amg_distr_mat_)
call ac%cscnv(info,type='csr')
call op_prol%cscnv(info,type='csr')
call op_restr%cscnv(info,type='csr')
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done ac '
case(amg_repl_mat_)
!
! We are assuming here that an d matrix
! can hold all entries
!
if (desc_ac%get_global_rows() < huge(1_psb_ipk_) ) then
ntaggr = desc_ac%get_global_rows()
i_nr = ntaggr
else
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='invalid amg_coarse_mat_')
goto 9999
end if
call op_prol%mv_to(tmpcoo)
nzl = tmpcoo%get_nzeros()
call psb_loc_to_glob(tmpcoo%ja(1:nzl),desc_ac,info,'I')
call op_prol%mv_from(tmpcoo)
call op_restr%mv_to(tmpcoo)
nzl = tmpcoo%get_nzeros()
call psb_loc_to_glob(tmpcoo%ia(1:nzl),desc_ac,info,'I')
call op_restr%mv_from(tmpcoo)
call op_prol%set_ncols(i_nr)
call op_restr%set_nrows(i_nr)
call psb_gather(tmp_ac,ac,desc_ac,info,root=-ione,&
& dupl=psb_dupl_add_,keeploc=.false.)
call tmp_ac%mv_to(tmpcoo)
call ac%mv_from(tmpcoo)
call psb_cdall(ctxt,desc_ac,info,mg=ntaggr,repl=.true.)
if (info == psb_success_) call psb_cdasb(desc_ac,info)
!
! Now that we have the descriptors and the restrictor, we should
! update the W. But we don't, because REPL is only valid
! at the coarsest level, so no need to carry over.
!
if (info /= psb_success_) goto 9999
case default
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='invalid amg_coarse_mat_')
goto 9999
end select
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_aggregator_mat_asb
@@ -0,0 +1,183 @@
!
!
! File: amg_d_base_aggregator_mat_bld.f90
!
! Subroutine: amg_d_base_aggregator_mat_bld
! Version: real
!
! This routine builds the matrix associated to the current level of the
! multilevel preconditioner from the matrix associated to the previous level,
! by using the user-specified aggregation technique (therefore, it also builds the
! prolongation and restriction operators mapping the current level to the
! previous one and vice versa).
! The current level is regarded as the coarse one, while the previous as
! the fine one. This is in agreement with the fact that the routine is called,
! by amg_mlprec_bld, only on levels >=2.
! The coarse-level matrix A_C is built from a fine-level matrix A
! by using the Galerkin approach, i.e.
!
! A_C = P_C^T A P_C,
!
! where P_C is a prolongator from the coarse level to the fine one.
!
! A mapping from the nodes of the adjacency graph of A to the nodes of the
! adjacency graph of A_C has been computed by the amg_aggrmap_bld subroutine.
! The prolongator P_C is built here from this mapping, according to the
! value of p%iprcparm(amg_aggr_kind_), specified by the user through
! amg_dprecinit and amg_zprecset.
! On output from this routine the entries of AC, op_prol, op_restr
! are still in "global numbering" mode; this is fixed in the calling routine
! amg_d_lev_aggrmat_bld.
!
! Currently four different prolongators are implemented, corresponding to
! four aggregation algorithms:
! 1. un-smoothed aggregation,
! 2. smoothed aggregation,
! 3. "bizarre" aggregation.
! 4. minimum energy
! 1. The non-smoothed aggregation uses as prolongator the piecewise constant
! interpolation operator corresponding to the fine-to-coarse level mapping built
! by p%aggr%bld_tprol. This is called tentative prolongator.
! 2. The smoothed aggregation uses as prolongator the operator obtained by applying
! a damped Jacobi smoother to the tentative prolongator.
! 3. The "bizarre" aggregation uses a prolongator proposed by the authors of MLD2P4.
! This prolongator still requires a deep analysis and testing and its use is
! not recommended.
! 4. Minimum energy aggregation
!
! For more details see
! M. Brezina and P. Vanek, A black-box iterative solver based on a two-level
! Schwarz method, Computing, 63 (1999), 233-263.
! P. D'Ambra, D. di Serafino and S. Filippone, On the development of PSBLAS-based
! parallel two-level Schwarz preconditioners, Appl. Num. Math., 57 (2007),
! 1181-1196.
! M. Sala, R. Tuminaro: A new Petrov-Galerkin smoothed aggregation preconditioner
! for nonsymmetric linear systems, SIAM J. Sci. Comput., 31(1):143-166 (2008)
!
!
! The main structure is:
! 1. Perform sanity checks;
! 2. Compute prolongator/restrictor/AC
!
!
! Arguments:
! ag - type(amg_d_base_aggregator_type), input/output.
! The aggregator object
! parms - type(amg_dml_parms), input
! The aggregation parameters
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! ilaggr - integer, dimension(:), input
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! ac - type(psb_dspmat_type), output
! The coarse matrix on output
!
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
subroutine amg_d_newmatch_aggregator_mat_bld(ag,parms,a,desc_a,ilaggr,nlaggr,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
use psb_base_mod
use amg_d_inner_mod
use amg_d_prec_type, amg_protect_name => amg_d_newmatch_aggregator_mat_bld
!use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_aggregator_mat_bld
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(psb_dspmat_type), intent(in) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_dspmat_type), intent(inout) :: op_prol,ac,op_restr
type(psb_desc_type), intent(inout) :: desc_ac
integer(psb_ipk_), intent(out) :: info
! Local variables
character(len=20) :: name
type(psb_ctxt_type) :: ctxt
integer(psb_mpk_) :: np, me
type(psb_ld_coo_sparse_mat) :: acoo, bcoo
type(psb_ld_csr_sparse_mat) :: acsr1
integer(psb_lpk_) :: nzl,ntaggr
integer(psb_ipk_) :: err_act
integer(psb_ipk_) :: debug_level, debug_unit
name='amg_d_newmatch_aggregator_mat_bld'
if (psb_get_errstatus().ne.0) return
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
!
! Build the coarse-level matrix from the fine-level one, starting from
! the mapping defined by amg_aggrmap_bld and applying the aggregation
! algorithm specified by
!
select case (parms%aggr_prol)
case (amg_no_smooth_)
!!$ call amg_d_newmatch_unsmth_spmm_bld(a,desc_a,ilaggr,nlaggr,&
!!$ & parms,ac,desc_ac,op_prol,op_restr,t_prol,info)
call amg_daggrmat_nosmth_bld(a,desc_a,ilaggr,nlaggr, &
& parms,ac,desc_ac,op_prol,op_restr,t_prol,info)
case(amg_smooth_prol_)
call amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr, &
& parms,ac,desc_ac,op_prol,op_restr,t_prol,info)
!!$ case(amg_biz_prol_)
!!$
!!$ call amg_daggrmat_biz_bld(a,desc_a,ilaggr,nlaggr, &
!!$ & parms,ac,desc_ac,op_prol,op_restr,info)
case(amg_min_energy_)
call amg_daggrmat_minnrg_bld(a,desc_a,ilaggr,nlaggr, &
& parms,ac,desc_ac,op_prol,op_restr,t_prol,info)
case default
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='Invalid aggr kind')
goto 9999
end select
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='Inner aggrmat bld')
goto 9999
end if
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_aggregator_mat_bld
@@ -0,0 +1,448 @@
!
!
! File: amg_d_newmatch_aggregator_tprol.f90
!
! Subroutine: amg_d_newmatch_aggregator_tprol
! Version: real
!
!
subroutine amg_d_newmatch_aggregator_build_tprol(ag,parms,ag_data,&
& a,desc_a,ilaggr,nlaggr,t_prol,info)
use psb_base_mod
use amg_base_prec_type
use amg_d_inner_mod
use amg_d_decmatch_mod
#if defined(SERIAL_MPI)
use amg_d_newmatch_aggregator_mod
#else
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_aggregator_build_tprol
#endif
use iso_c_binding
implicit none
class(amg_d_newmatch_aggregator_type), target, intent(inout) :: ag
type(amg_dml_parms), intent(inout) :: parms
type(amg_daggr_data), intent(in) :: ag_data
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), allocatable, intent(out) :: ilaggr(:),nlaggr(:)
type(psb_ldspmat_type), intent(out) :: t_prol
integer(psb_ipk_), intent(out) :: info
! Local variables
real(psb_dpk_), allocatable :: tmpw(:), tmpwnxt(:)
integer(psb_lpk_), allocatable :: ixaggr(:), nxaggr(:), tlaggr(:), ivr(:)
type(psb_dspmat_type) :: a_tmp
type(nwm_CSRMatrix) :: C, P
integer(c_int) :: match_algorithm, n_sweeps, max_csize, max_nlevels
character(len=40) :: name, ch_err
character(len=80) :: fname, prefix_
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: np, me
integer(psb_ipk_) :: err_act, ierr
integer(psb_ipk_) :: debug_level, debug_unit
integer(psb_ipk_) :: i, j, k, nr, nc
integer(psb_lpk_) :: isz, num_pcols, nrac, ncac, lname, nz, x_sweeps, csz
integer(psb_lpk_) :: psz, sizes(4)
type(psb_d_csr_sparse_mat), target :: csr_prol, csr_pvi, csr_prod_res, acsr
type(psb_ld_csr_sparse_mat), target :: lcsr_prol
type(psb_desc_type), allocatable :: desc_acv(:)
type(psb_ld_coo_sparse_mat) :: tmpcoo, transp_coo
type(psb_dspmat_type), allocatable :: acv(:)
type(psb_dspmat_type), allocatable :: prolv(:), restrv(:)
type(psb_ldspmat_type) :: tmp_prol, tmp_pg, tmp_restr
type(psb_desc_type) :: tmp_desc_ac, tmp_desc_ax, tmp_desc_p
integer(psb_ipk_), save :: idx_mboxp=-1, idx_spmmbld=-1, idx_sweeps_mult=-1
logical, parameter :: dump=.false., do_timings=.true., debug=.false., &
& dump_prol_restr=.false.
name='d_newmatch_tprol'
ictxt = desc_a%get_context()
call psb_info(ictxt,me,np)
if (psb_get_errstatus().ne.0) then
write(0,*) me,trim(name),' Err_status :',psb_get_errstatus()
return
end if
if (debug) write(0,*) me,trim(name),' Start '
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
info = psb_success_
if ((do_timings).and.(idx_mboxp==-1)) &
& idx_mboxp = psb_get_timer_idx("PMC_TPROL: MatchBoxP")
if ((do_timings).and.(idx_spmmbld==-1)) &
& idx_spmmbld = psb_get_timer_idx("PMC_TPROL: spmm_bld")
if ((do_timings).and.(idx_sweeps_mult==-1)) &
& idx_sweeps_mult = psb_get_timer_idx("PMC_TPROL: sweeps_mult")
call amg_check_def(parms%ml_cycle,'Multilevel cycle',&
& amg_mult_ml_,is_legal_ml_cycle)
call amg_check_def(parms%par_aggr_alg,'Aggregation',&
& amg_coupled_aggr_,is_legal_decoupled_par_aggr_alg)
call amg_check_def(parms%aggr_ord,'Ordering',&
& amg_aggr_ord_nat_,is_legal_ml_aggr_ord)
call amg_check_def(parms%aggr_thresh,'Aggr_Thresh',dzero,is_legal_d_aggr_thrs)
#if !defined(SERIAL_MPI)
match_algorithm = ag%matching_alg
n_sweeps = ag%n_sweeps
if (2**n_sweeps /= ag%orig_aggr_size) then
if (me == 0) then
write(debug_unit, *) 'Warning: AGGR_SIZE reset to value ',2**n_sweeps
end if
end if
if (ag%max_csize > 0) then
max_csize = ag%max_csize
else
max_csize = ag_data%min_coarse_size
end if
if (ag%max_nlevels > 0) then
max_nlevels = ag%max_nlevels
else
max_nlevels = ag_data%max_levs
end if
if (.true.) then
block
integer(psb_ipk_) :: ipv(2)
ipv(1) = max_csize
ipv(2) = n_sweeps
call psb_bcast(ictxt,ipv)
max_csize = ipv(1)
n_sweeps = ipv(2)
end block
else
call psb_bcast(ictxt,max_csize)
call psb_bcast(ictxt,n_sweeps)
end if
if (n_sweeps /= ag%n_sweeps) then
write(0,*) me,' Inconsistent N_SWEEPS ',n_sweeps,ag%n_sweeps
end if
n_sweeps = max(1,n_sweeps)
if (debug) write(0,*) me,' Copies, with n_sweeps: ',n_sweeps,max_csize
if (ag%unsmoothed_hierarchy.and.allocated(ag%base_a)) then
call ag%base_a%cp_to(acsr)
if (ag%do_clean_zeros) call acsr%clean_zeros(info)
nr = acsr%get_nrows()
if (psb_size(ag%w) < nr) call ag%bld_default_w(nr)
isz = acsr%get_ncols()
call psb_realloc(isz,ixaggr,info)
if (info == psb_success_) &
& allocate(acv(0:n_sweeps), desc_acv(0:n_sweeps),&
& prolv(n_sweeps), restrv(n_sweeps),stat=info)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_realloc'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call acv(0)%mv_from(acsr)
call ag%base_desc%clone(desc_acv(0),info)
else
call a%cp_to(acsr)
if (ag%do_clean_zeros) call acsr%clean_zeros(info)
nr = acsr%get_nrows()
if (psb_size(ag%w) < nr) call ag%bld_default_w(nr)
isz = acsr%get_ncols()
call psb_realloc(isz,ixaggr,info)
if (info == psb_success_) &
& allocate(acv(0:n_sweeps), desc_acv(0:n_sweeps),&
& prolv(n_sweeps), restrv(n_sweeps),stat=info)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_realloc'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call acv(0)%mv_from(acsr)
call desc_a%clone(desc_acv(0),info)
end if
nrac = desc_acv(0)%get_local_rows()
ncac = desc_acv(0)%get_local_cols()
if (debug) write(0,*) me,' On input to level: ',nrac, ncac
if (allocated(ag%prol)) then
call ag%prol%free()
deallocate(ag%prol)
end if
if (allocated(ag%restr)) then
call ag%restr%free()
deallocate(ag%restr)
end if
if (dump) then
block
type(psb_ldspmat_type) :: lac
ivr = desc_acv(0)%get_global_indices(owned=.false.)
prefix_ = "input_a"
lname = len_trim(prefix_)
fname = trim(prefix_)
write(fname(lname+1:lname+9),'(a,i3.3,a)') '_p',me, '.mtx'
call acv(0)%print(fname,head='Debug aggregates')
call lac%cp_from(acv(0))
write(fname(lname+1:lname+13),'(a,i3.3,a)') '_p',me, '-glb.mtx'
call lac%print(fname,head='Debug aggregates',iv=ivr)
call lac%free()
end block
end if
call psb_geall(tmpw,desc_acv(0),info)
tmpw(1:nr) = ag%w(1:nr)
call psb_geasb(tmpw,desc_acv(0),info)
if (debug) then
call psb_barrier(ictxt)
if (me == 0) write(0,*) 'N_sweeps ',n_sweeps,nr,desc_acv(0)%is_ok(),max_csize
end if
!
! Prepare ag%ac, ag%desc_ac, ag%prol, ag%restr to enable
! shortcuts in mat_bld and mat_asb
! and ag%desc_ax which will be needed in backfix.
!
x_sweeps = -1
sweeps_loop: do i=1, n_sweeps
if (debug) then
call psb_barrier(ictxt)
if (me==0) write(0,*) me,trim(name),' Start sweeps_loop iteration:',i,' of ',n_sweeps
end if
!
! Building prol and restr because this algorithm is not decoupled
! On exit from matchbox_build_prol, prolv(i) is in global numbering
!
!
if (debug) write(0,*) me,' Into matchbox_build_prol ',info
if (do_timings) call psb_tic(idx_mboxp)
call amg_ddecmatch_build_prol(tmpw,acv(i-1),desc_acv(i-1),ixaggr,nxaggr,tmp_prol,info,&
& symmetrize=ag%need_symmetrize,reproducible=ag%reproducible_matching,&
& parallel=ag%parallel_matching,matching=ag%matching_alg,lambda=ag%lambda)
if (do_timings) call psb_toc(idx_mboxp)
if (debug) write(0,*) me,' Out from matchbox_build_prol ',info
if (psb_errstatus_fatal()) write(0,*)me,trim(name),'Error fatal on exit bld_tprol',info
if (debug) then
call psb_barrier(ictxt)
!!$ write(0,*) name,' Call spmm_bld sweep:',i,n_sweeps
if (me==0) write(0,*) me,trim(name),' Calling spmm_bld NSW>1:',i,&
& desc_acv(i-1)%get_local_rows(),desc_acv(i-1)%get_local_cols(),&
& desc_acv(i-1)%get_global_rows()
end if
if (i == n_sweeps) call tmp_prol%clone(tmp_pg,info)
if (do_timings) call psb_tic(idx_spmmbld)
!
! On entry, prolv(i) is in global numbering,
!
call amg_d_newmatch_spmm_bld_ov(acv(i-1),desc_acv(i-1),ixaggr,nxaggr,parms,&
& acv(i),desc_acv(i), prolv(i),restrv(1),tmp_prol,info)
if (psb_errstatus_fatal()) write(0,*)me,trim(name),'Error fatal on exit from bld_ov(i)',info
if (debug) then
call psb_barrier(ictxt)
if (me==0) write(0,*) me,trim(name),' Done spmm_bld:',i
end if
if (do_timings) call psb_toc(idx_spmmbld)
! Keep a copy of prolv(i) in global numbering for the time being, will
! need it to build the final
! if (i == n_sweeps) call prolv(i)%clone(tmp_prol,info)
call ag%inner_mat_asb(parms,acv(i-1),desc_acv(i-1),&
& acv(i),desc_acv(i),prolv(i),restrv(1),info)
if (debug) then
call psb_barrier(ictxt)
if (me==0) write(0,*) me,trim(name),' Done mat_asb:',i,sum(nxaggr),max_csize,info
csz = sum(nxaggr)
call psb_bcast(ictxt,csz)
if (csz /= sum(nxaggr)) write(0,*) me,trim(name),' Mismatch matasb',&
& csz,sum(nxaggr),max_csize
end if
if (psb_errstatus_fatal()) write(0,*)me,trim(name),'Error fatal on entry to tmpwnxt 2'
!
! Fix wnxt
!
if (info == 0) call psb_geall(tmpwnxt,desc_acv(i),info)
if (info == 0) call psb_geasb(tmpwnxt,desc_acv(i),info,scratch=.true.)
if (info == 0) call psb_halo(tmpw,desc_acv(i-1),info)
!!$ write(0,*) trestr%get_nrows(),size(tmpwnxt),trestr%get_ncols(),size(tmpw)
if (info == 0) call psb_csmm(done,restrv(1),tmpw,dzero,tmpwnxt,info)
if (info /= psb_success_) then
write(0,*)me,trim(name),'Error from mat_asb/tmpw ',info
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err='mat_asb 2')
goto 9999
end if
if (i == 1) then
nrac = desc_acv(1)%get_local_rows()
!!$ write(0,*) 'Copying output w_nxt ',nrac
call psb_realloc(nrac,ag%w_nxt,info)
ag%w_nxt(1:nrac) = tmpwnxt(1:nrac)
!
! ILAGGR is fixed later on, but
! get a copy in case of an early exit
!
call psb_safe_ab_cpy(ixaggr,ilaggr,info)
end if
call psb_safe_ab_cpy(nxaggr,nlaggr,info)
call move_alloc(tmpwnxt,tmpw)
if (debug) then
if (csz /= sum(nlaggr)) write(0,*) me,trim(name),' Mismatch 2 matasb',&
& csz,sum(nlaggr),max_csize, info
end if
call acv(i-1)%free()
if ((sum(nlaggr) <= max_csize).or.(any(nlaggr==0))) then
x_sweeps = i
exit sweeps_loop
end if
if (debug) then
call psb_barrier(ictxt)
if (me==0) write(0,*) me,trim(name),' Done sweeps_loop iteration:',i,' of ',n_sweeps
end if
end do sweeps_loop
if (debug) then
call psb_barrier(ictxt)
if (me==0) write(0,*) me,trim(name),' Done sweeps_loop:',x_sweeps
end if
if (x_sweeps<=0) x_sweeps = n_sweeps
if (do_timings) call psb_tic(idx_sweeps_mult)
!
! Ok, now we have all the prolongators, including the last one in global numbering.
! Build the product of all prolongators. Need a tmp_desc_ax
! which is correct but most of the time overdimensioned
!
if (.not.allocated(ag%desc_ax)) allocate(ag%desc_ax)
!
block
integer(psb_ipk_) :: i, nnz
integer(psb_lpk_) :: ncol, ncsave
if (.not.allocated(ag%ac)) allocate(ag%ac)
if (.not.allocated(ag%desc_ac)) allocate(ag%desc_ac)
call desc_acv(x_sweeps)%clone(ag%desc_ac,info)
call desc_acv(x_sweeps)%free(info)
call acv(x_sweeps)%move_alloc(ag%ac,info)
if (.not.allocated(ag%prol)) allocate(ag%prol)
if (.not.allocated(ag%restr)) allocate(ag%restr)
call psb_cd_reinit(ag%desc_ac,info)
ncsave = ag%desc_ac%get_global_rows()
!
! Note: prolv(i) is already in local numbering
! because of the call to mat_asb in the loop above.
!
call prolv(x_sweeps)%mv_to(csr_prol)
if (debug) then
call psb_barrier(ictxt)
if (me == 0) write(0,*) 'Enter prolongator product loop ',x_sweeps
end if
do i=x_sweeps-1, 1, -1
call prolv(i)%mv_to(csr_pvi)
if (psb_errstatus_fatal()) write(0,*) me,' Fatal error in prolongator loop 1'
call psb_par_spspmm(csr_pvi,desc_acv(i),csr_prol,csr_prod_res,ag%desc_ac,info)
if ((info /=0).or.psb_errstatus_fatal()) write(0,*) me,' Fatal error in prolongator loop 2',info
call csr_pvi%free()
call csr_prod_res%mv_to_fmt(csr_prol,info)
if ((info /=0).or.psb_errstatus_fatal()) write(0,*) me,' Fatal error in prolongator loop 3',info
call csr_prol%set_ncols(ag%desc_ac%get_local_cols())
if ((info /=0).or.psb_errstatus_fatal()) write(0,*) me,' Fatal error in prolongator loop 4'
end do
call csr_prol%mv_to_lfmt(lcsr_prol,info)
nnz = lcsr_prol%get_nzeros()
call ag%desc_ac%l2gip(lcsr_prol%ja(1:nnz),info)
call lcsr_prol%set_ncols(ncsave)
if (debug) then
call psb_barrier(ictxt)
if (me == 0) write(0,*) 'Done prolongator product loop ',x_sweeps
end if
!
! Fix ILAGGR here by copying from CSR_PROL%JA
!
block
integer(psb_ipk_) :: nr
nr = lcsr_prol%get_nrows()
if (nnz /= nr) then
write(0,*) me,name,' Issue with prolongator? ',nr,nnz
end if
call psb_realloc(nr,ilaggr,info)
ilaggr(1:nnz) = lcsr_prol%ja(1:nnz)
end block
call tmp_prol%mv_from(lcsr_prol)
call psb_cdasb(ag%desc_ac,info)
call ag%ac%set_ncols(ag%desc_ac%get_local_cols())
end block
call tmp_prol%move_alloc(t_prol,info)
call t_prol%set_ncols(ag%desc_ac%get_local_cols())
call t_prol%set_nrows(desc_acv(0)%get_local_rows())
nrac = ag%desc_ac%get_local_rows()
ncac = ag%desc_ac%get_local_cols()
call psb_realloc(nrac,ag%w_nxt,info)
ag%w_nxt(1:nrac) = tmpw(1:nrac)
if (do_timings) call psb_toc(idx_sweeps_mult)
if (debug) then
call psb_barrier(ictxt)
if (me == 0) write(0,*) 'Out of build loop ',x_sweeps,': Output size:',sum(nlaggr)
end if
!call psb_set_debug_level(0)
if (dump) then
block
ivr = desc_acv(x_sweeps)%get_global_indices(owned=.false.)
prefix_ = "final_ac"
lname = len_trim(prefix_)
fname = trim(prefix_)
write(fname(lname+1:lname+9),'(a,i3.3,a)') '_p',me, '.mtx'
call acv(x_sweeps)%print(fname,head='Debug aggregates')
write(fname(lname+1:lname+13),'(a,i3.3,a)') '_p',me, '-glb.mtx'
call acv(x_sweeps)%print(fname,head='Debug aggregates',iv=ivr)
prefix_ = "final_tp"
lname = len_trim(prefix_)
fname = trim(prefix_)
write(fname(lname+1:lname+9),'(a,i3.3,a)') '_p',me, '.mtx'
call t_prol%print(fname,head='Tentative prolongator')
end block
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_bootCMatch_if')
goto 9999
end if
#endif
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_aggregator_build_tprol
@@ -0,0 +1,128 @@
!
!
! File: amg_d_newmatch_map_to_tprol.f90
!
! Subroutine: amg_d_newmatch_map_to_tprol
! Version: real
!
! This routine uses a mapping from the row indices of the fine-level matrix
! to the row indices of the coarse-level matrix to build a tentative
! prolongator, i.e. a piecewise constant operator.
! This is later used to build the final operator; the code has been refactored here
! to be shared among all the methods that provide the tentative prolongator
! through a simple integer mapping.
!
! The aggregation algorithm is a parallel version of that described in
! * M. Brezina and P. Vanek, A black-box iterative solver based on a
! two-level Schwarz method, Computing, 63 (1999), 233-263.
! * P. Vanek, J. Mandel and M. Brezina, Algebraic Multigrid by Smoothed
! Aggregation for Second and Fourth Order Elliptic Problems, Computing, 56
! (1996), 179-196.
! For more details see
! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.
! 57 (2007), 1181-1196.
!
!
! Arguments:
! aggr_type - integer, input.
! The scalar used to identify the aggregation algorithm.
! theta - real, input.
! The aggregation threshold used in the aggregation algorithm.
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! ilaggr - integer, dimension(:), allocatable.
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that on exit the indices
! will be shifted so as to make sure the ranges on the various processes do not
! overlap.
! nlaggr - integer, dimension(:), allocatable.
! nlaggr(i) contains the aggregates held by process i.
! op_prol - type(psb_dspmat_type).
! The tentative prolongator, based on ilaggr.
!
! info - integer, output.
! Error code.
!
subroutine amg_d_newmatch_map_to_tprol(desc_a,ilaggr,nlaggr,valaggr, op_prol,info)
use psb_base_mod
use amg_d_inner_mod!, amg_protect_name => amg_d_newmatch_map_to_tprol
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_map_to_tprol
implicit none
! Arguments
type(psb_desc_type), intent(in) :: desc_a
integer(psb_lpk_), allocatable, intent(inout) :: ilaggr(:),nlaggr(:)
real(psb_dpk_), allocatable, intent(inout) :: valaggr(:)
type(psb_ldspmat_type), intent(out) :: op_prol
integer(psb_ipk_), intent(out) :: info
! Local variables
integer(psb_lpk_) :: icnt,nlp,k,n,ia,isz,nr, naggr,i,j,m,naggrm1, naggrp1, ntaggr
type(psb_ld_coo_sparse_mat) :: tmpcoo
integer(psb_ipk_) :: debug_level, debug_unit,err_act
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: np, me
integer(psb_lpk_) :: nrow, ncol, n_ne
character(len=20) :: name, ch_err
if(psb_get_errstatus() /= 0) return
info=psb_success_
name = 'amg_d_newmatch_map_to_tprol'
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
!
ctxt=desc_a%get_context()
call psb_info(ctxt,me,np)
nrow = desc_a%get_local_rows()
ncol = desc_a%get_local_cols()
naggr = nlaggr(me+1)
ntaggr = sum(nlaggr)
naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1))
ilaggr(1:nrow) = ilaggr(1:nrow) + naggrm1
call psb_halo(ilaggr,desc_a,info)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_halo')
goto 9999
end if
call psb_halo(valaggr,desc_a,info)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_halo')
goto 9999
end if
call tmpcoo%allocate(ncol,ntaggr,ncol)
j = 0
do i=1,ncol
if (valaggr(i) /= dzero) then
j = j + 1
tmpcoo%val(j) = valaggr(i)
tmpcoo%ia(j) = i
tmpcoo%ja(j) = ilaggr(i)
end if
end do
call tmpcoo%set_nzeros(j)
call tmpcoo%set_dupl(psb_dupl_add_)
call tmpcoo%set_sorted() ! At this point this is in row-major
call op_prol%mv_from(tmpcoo)
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_map_to_tprol
@@ -0,0 +1,218 @@
!
!
! AMG4PSBLAS version 1.0
! Algebraic Multigrid Package
! based on PSBLAS (Parallel Sparse BLAS version 3.7)
!
! (C) Copyright 2021
!
! Salvatore Filippone
! Pasqua D'Ambra
! Fabio Durastante
!
! Redistribution and use in source and binary forms, with or without
! modification, are permitted provided that the following conditions
! are met:
! 1. Redistributions of source code must retain the above copyright
! notice, this list of conditions and the following disclaimer.
! 2. Redistributions in binary form must reproduce the above copyright
! notice, this list of conditions, and the following disclaimer in the
! documentation and/or other materials provided with the distribution.
! 3. The name of the AMG4PSBLAS group or the names of its contributors may
! not be used to endorse or promote products derived from this
! software without specific written permission.
!
! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AMG4PSBLAS GROUP OR ITS CONTRIBUTORS
! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
! POSSIBILITY OF SUCH DAMAGE.
!
!
! File: amg_daggrmat_nosmth_bld.F90
!
! Subroutine: amg_daggrmat_nosmth_bld
! Version: real
!
! This routine builds a coarse-level matrix A_C from a fine-level matrix A
! by using the Galerkin approach, i.e.
!
! A_C = P_C^T A P_C,
!
! where P_C is the piecewise constant interpolation operator corresponding
! the fine-to-coarse level mapping built by amg_aggrmap_bld.
!
! The coarse-level matrix A_C is distributed among the parallel processes or
! replicated on each of them, according to the value of p%parms%coarse_mat
! specified by the user through amg_dprecinit and amg_zprecset.
! On output from this routine the entries of AC, op_prol, op_restr
! are still in "global numbering" mode; this is fixed in the calling routine
!
! For details see
! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.,
! 57 (2007), 1181-1196.
!
!
! Arguments:
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! p - type(amg_d_onelev_type), input/output.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! parms - type(amg_dml_parms), input
! Parameters controlling the choice of algorithm
! ac - type(psb_dspmat_type), output
! The coarse matrix on output
!
! ilaggr - integer, dimension(:), input
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
!
subroutine amg_d_newmatch_spmm_bld_inner(a_csr,desc_a,ilaggr,nlaggr,parms,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
use psb_base_mod
use amg_d_inner_mod
#if defined(SERIAL_MPI)
use amg_d_newmatch_aggregator_mod
#else
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_spmm_bld_inner
#endif
implicit none
! Arguments
type(psb_d_csr_sparse_mat), intent(inout) :: a_csr
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(amg_dml_parms), intent(inout) :: parms
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_dspmat_type), intent(inout) :: ac, op_prol, op_restr
type(psb_desc_type), intent(out) :: desc_ac
integer(psb_ipk_), intent(out) :: info
! Local variables
integer(psb_ipk_) :: err_act
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: np, me, ndx
character(len=40) :: name
type(psb_ld_coo_sparse_mat) :: tmpcoo
type(psb_d_coo_sparse_mat) :: coo_prol, coo_restr
type(psb_d_csr_sparse_mat) :: ac_csr, csr_restr
type(psb_desc_type), target :: tmp_desc
type(psb_ldspmat_type) :: lac
integer(psb_ipk_) :: debug_level, debug_unit, naggr
integer(psb_lpk_) :: nrow, nglob, ncol, ntaggr, nrl, nzl, ip, &
& nzt, naggrm1, naggrp1, i, k
integer(psb_lpk_), allocatable :: ia(:),ja(:)
!integer(psb_lpk_) :: nrsave, ncsave, nzsave, nza, nrpsave, ncpsave, nzpsave
logical, parameter :: do_timings=.true., oldstyle=.false., debug=.false.
integer(psb_ipk_), save :: idx_spspmm=-1, idx_prolcnv=-1, idx_proltrans=-1, idx_asb=-1
name='amg_newmatch_spmm_bld_inner'
if(psb_get_errstatus().ne.0) return
info=psb_success_
call psb_erractionsave(err_act)
ictxt = desc_a%get_context()
call psb_info(ictxt, me, np)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
nglob = desc_a%get_global_rows()
nrow = desc_a%get_local_rows()
ncol = desc_a%get_local_cols()
if ((do_timings).and.(idx_spspmm==-1)) &
& idx_spspmm = psb_get_timer_idx("SPMM_BLD: spspmm ")
if ((do_timings).and.(idx_prolcnv==-1)) &
& idx_prolcnv = psb_get_timer_idx("SPMM_BLD: prolcnv ")
if ((do_timings).and.(idx_proltrans==-1)) &
& idx_proltrans = psb_get_timer_idx("SPMM_BLD: proltrans")
if ((do_timings).and.(idx_asb==-1)) &
& idx_asb = psb_get_timer_idx("SPMM_BLD: asb ")
if (do_timings) call psb_tic(idx_prolcnv)
naggr = nlaggr(me+1)
ntaggr = sum(nlaggr)
naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1))
#if !defined(SERIAL_MPI)
!
! Here T_PROL should be arriving with GLOBAL indices on the cols
! and LOCAL indices on the rows.
!
if (debug) write(0,*) me,' ',trim(name),' Size check on entry New: ',&
& op_prol%get_fmt(),op_prol%get_nrows(),op_prol%get_ncols(),op_prol%get_nzeros(),&
& nrow,ntaggr,naggr
call t_prol%cp_to(tmpcoo)
call psb_cdall(ictxt,desc_ac,info,nl=naggr)
nzl = tmpcoo%get_nzeros()
if (debug) write(0,*) me,' ',trim(name),' coo_prol: ',&
& tmpcoo%ia(1:min(10,nzl)),' :',tmpcoo%ja(1:min(10,nzl))
call desc_ac%indxmap%g2lip_ins(tmpcoo%ja(1:nzl),info)
call tmpcoo%set_ncols(desc_ac%get_local_cols())
call tmpcoo%cp_to_icoo(coo_prol,info)
call amg_ptap_bld(a_csr,desc_a,nlaggr,parms,ac,&
& coo_prol,desc_ac,coo_restr,info)
nzl = coo_prol%get_nzeros()
if (debug) write(0,*) me,' ',trim(name),' coo_prol: ',&
& coo_prol%ia(1:min(10,nzl)),' :',coo_prol%ja(1:min(10,nzl))
call op_prol%mv_from(coo_prol)
call op_restr%mv_from(coo_restr)
if (debug) then
write(0,*) me,' ',trim(name),' Checkpoint at exit'
call psb_barrier(ictxt)
write(0,*) me,' ',trim(name),' Checkpoint through'
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Build ac = op_restr x a3')
goto 9999
end if
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done smooth_aggregate '
#endif
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_spmm_bld_inner
@@ -0,0 +1,169 @@
!
!
! AMG4PSBLAS version 1.0
! Algebraic Multigrid Package
! based on PSBLAS (Parallel Sparse BLAS version 3.7)
!
! (C) Copyright 2021
!
! Salvatore Filippone
! Pasqua D'Ambra
! Fabio Durastante
!
! Redistribution and use in source and binary forms, with or without
! modification, are permitted provided that the following conditions
! are met:
! 1. Redistributions of source code must retain the above copyright
! notice, this list of conditions and the following disclaimer.
! 2. Redistributions in binary form must reproduce the above copyright
! notice, this list of conditions, and the following disclaimer in the
! documentation and/or other materials provided with the distribution.
! 3. The name of the AMG4PSBLAS group or the names of its contributors may
! not be used to endorse or promote products derived from this
! software without specific written permission.
!
! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AMG4PSBLAS GROUP OR ITS CONTRIBUTORS
! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
! POSSIBILITY OF SUCH DAMAGE.
!
!
! File: amg_daggrmat_nosmth_bld_ov.F90
!
! Subroutine: amg_daggrmat_nosmth_bld_ov
! Version: real
!
! This routine builds a coarse-level matrix A_C from a fine-level matrix A
! by using the Galerkin approach, i.e.
!
! A_C = P_C^T A P_C,
!
! where P_C is the piecewise constant interpolation operator corresponding
! the fine-to-coarse level mapping built by amg_aggrmap_bld_ov.
!
! The coarse-level matrix A_C is distributed among the parallel processes or
! replicated on each of them, according to the value of p%parms%coarse_mat
! specified by the user through amg_dprecinit and amg_zprecset.
! On output from this routine the entries of AC, op_prol, op_restr
! are still in "global numbering" mode; this is fixed in the calling routine
!
! For details see
! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.,
! 57 (2007), 1181-1196.
!
!
! Arguments:
! a - type(psb_dspmat_type), input.
! The sparse matrix structure containing the local part of
! the fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of the fine-level matrix.
! p - type(amg_d_onelev_type), input/output.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! parms - type(amg_dml_parms), input
! Parameters controlling the choice of algorithm
! ac - type(psb_dspmat_type), output
! The coarse matrix on output
!
! ilaggr - integer, dimension(:), input
! The mapping between the row indices of the coarse-level
! matrix and the row indices of the fine-level matrix.
! ilaggr(i)=j means that node i in the adjacency graph
! of the fine-level matrix is mapped onto node j in the
! adjacency graph of the coarse-level matrix. Note that the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
!
subroutine amg_d_newmatch_spmm_bld_ov(a,desc_a,ilaggr,nlaggr,parms,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
use psb_base_mod
use amg_d_inner_mod
#if defined(SERIAL_MPI)
use amg_d_newmatch_aggregator_mod
#else
use amg_d_newmatch_aggregator_mod, amg_protect_name => amg_d_newmatch_spmm_bld_ov
#endif
implicit none
! Arguments
type(psb_dspmat_type), intent(inout) :: a
type(psb_desc_type), intent(inout) :: desc_a
integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
type(amg_dml_parms), intent(inout) :: parms
type(psb_ldspmat_type), intent(inout) :: t_prol
type(psb_dspmat_type), intent(inout) :: ac, op_prol, op_restr
type(psb_desc_type), intent(out) :: desc_ac
integer(psb_ipk_), intent(out) :: info
! Local variables
integer(psb_ipk_) :: err_act
type(psb_ctxt_type) :: ictxt
integer(psb_ipk_) :: np, me
character(len=20) :: name
type(psb_d_csr_sparse_mat) :: acsr
type(psb_ld_coo_sparse_mat) :: coo_prol, coo_restr
integer(psb_lpk_) :: nrow, nglob, ncol, ntaggr, nzl, ip, &
& naggr, nzt, naggrm1, naggrp1, i, k
integer(psb_ipk_) :: inaggr, nzlp
integer(psb_ipk_) :: debug_level, debug_unit
logical, parameter :: debug=.false., new_version=.true.
name='amg_newmatch_spmm_bld_ov'
if(psb_get_errstatus().ne.0) return
info=psb_success_
call psb_erractionsave(err_act)
ictxt = desc_a%get_context()
call psb_info(ictxt, me, np)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
#if !defined(SERIAL_MPI)
call a%mv_to(acsr)
call amg_d_newmatch_spmm_bld_inner(acsr,desc_a,ilaggr,nlaggr,parms,&
& ac,desc_ac,op_prol,op_restr,t_prol,info)
if (psb_errstatus_fatal()) write(0,*)me,trim(name),'Error fatal on exit from bld_inner',info
if (info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err="SPMM_BLD_INNER")
goto 9999
end if
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done spmm_bld '
#endif
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine amg_d_newmatch_spmm_bld_ov
@@ -140,6 +140,9 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
real(psb_dpk_) :: anorm, omega, tmp, dg, theta
logical, parameter :: debug_new=.false.
character(len=80) :: filename
logical, parameter :: do_timings=.false.
integer(psb_ipk_), save :: idx_spspmm=-1, idx_phase1=-1, idx_gtrans=-1, idx_phase2=-1, idx_refine=-1
integer(psb_ipk_), save :: idx_phase3=-1, idx_cdasb=-1, idx_ptap=-1
name='amg_aggrmat_smth_bld'
info=psb_success_
@@ -153,6 +156,23 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
ctxt = desc_a%get_context()
call psb_info(ctxt, me, np)
if ((do_timings).and.(idx_spspmm==-1)) &
& idx_spspmm = psb_get_timer_idx("DEC_SMTH_BLD: par_spspmm")
if ((do_timings).and.(idx_phase1==-1)) &
& idx_phase1 = psb_get_timer_idx("DEC_SMTH_BLD: phase1 ")
if ((do_timings).and.(idx_phase2==-1)) &
& idx_phase2 = psb_get_timer_idx("DEC_SMTH_BLD: phase2 ")
if ((do_timings).and.(idx_phase3==-1)) &
& idx_phase3 = psb_get_timer_idx("DEC_SMTH_BLD: phase3 ")
if ((do_timings).and.(idx_gtrans==-1)) &
& idx_gtrans = psb_get_timer_idx("DEC_SMTH_BLD: gtrans ")
if ((do_timings).and.(idx_refine==-1)) &
& idx_refine = psb_get_timer_idx("DEC_SMTH_BLD: refine ")
if ((do_timings).and.(idx_cdasb==-1)) &
& idx_cdasb = psb_get_timer_idx("DEC_SMTH_BLD: cdasb ")
if ((do_timings).and.(idx_ptap==-1)) &
& idx_ptap = psb_get_timer_idx("DEC_SMTH_BLD: ptap_bld ")
nglob = desc_a%get_global_rows()
nrow = desc_a%get_local_rows()
@@ -171,6 +191,7 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
! naggr: number of local aggregates
! nrow: local rows.
!
if (do_timings) call psb_tic(idx_phase1)
! Get the diagonal D
adiag = a%get_diag(info)
@@ -196,7 +217,7 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
!
! Build the filtered matrix Af from A
!
!$OMP parallel do private(i,j,tmp,jd) schedule(static)
do i=1, nrow
tmp = dzero
jd = -1
@@ -214,11 +235,13 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
acsrf%val(jd)=acsrf%val(jd)-tmp
end if
enddo
!$OMP end parallel do
! Take out zeroed terms
call acsrf%clean_zeros(info)
end if
!$OMP parallel do private(i) schedule(static)
do i=1,size(adiag)
if (adiag(i) /= dzero) then
adiag(i) = done / adiag(i)
@@ -226,7 +249,7 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
adiag(i) = done
end if
end do
!$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then
if (parms%aggr_eig == amg_max_norm_) then
@@ -252,8 +275,9 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(info,name,a_err='invalid amg_aggr_omega_alg_')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase1)
if (do_timings) call psb_tic(idx_phase2)
call acsrf%scal(adiag,info)
if (info /= psb_success_) goto 9999
@@ -267,6 +291,8 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_cdasb(desc_ac,info)
call psb_cd_reinit(desc_ac,info)
if (do_timings) call psb_toc(idx_phase2)
if (do_timings) call psb_tic(idx_phase3)
!
! Build the smoothed prolongator using either A or Af
! acsr1 = (I-w*D*A) Prol acsr1 = (I-w*D*Af) Prol
@@ -279,8 +305,8 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(psb_err_from_subroutine_,name,a_err='spspmm 1')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase3)
if (do_timings) call psb_tic(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done SPSPMM 1'
@@ -292,7 +318,7 @@ subroutine amg_daggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call op_prol%mv_from(coo_prol)
call op_restr%mv_from(coo_restr)
if (do_timings) call psb_toc(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done smooth_aggregate '
@@ -97,6 +97,8 @@ subroutine amg_s_dec_aggregator_build_tprol(ag,parms,ag_data,&
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: debug_level, debug_unit
logical :: clean_zeros
integer(psb_ipk_), save :: idx_map_bld=-1, idx_map_tprol=-1
logical, parameter :: do_timings=.false.
name='amg_s_dec_aggregator_tprol'
call psb_erractionsave(err_act)
@@ -108,6 +110,10 @@ subroutine amg_s_dec_aggregator_build_tprol(ag,parms,ag_data,&
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_map_bld==-1)) &
& idx_map_bld = psb_get_timer_idx("DEC_TPROL: map_bld")
if ((do_timings).and.(idx_map_tprol==-1)) &
& idx_map_tprol = psb_get_timer_idx("DEC_TPROL: map_tprol")
call amg_check_def(parms%ml_cycle,'Multilevel cycle',&
& amg_mult_ml_,is_legal_ml_cycle)
@@ -121,10 +127,14 @@ subroutine amg_s_dec_aggregator_build_tprol(ag,parms,ag_data,&
! The decoupled aggregator based on SOC measures ignores
! ag_data except for clean_zeros; soc_map_bld is a procedure pointer.
!
if (do_timings) call psb_tic(idx_map_bld)
clean_zeros = ag%do_clean_zeros
call ag%soc_map_bld(parms%aggr_ord,parms%aggr_thresh,clean_zeros,a,desc_a,nlaggr,ilaggr,info)
if (do_timings) call psb_toc(idx_map_bld)
if (do_timings) call psb_tic(idx_map_tprol)
if (info==psb_success_) call amg_map_to_tprol(desc_a,ilaggr,nlaggr,t_prol,info)
if (do_timings) call psb_toc(idx_map_tprol)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err='soc_map_bld/map_to_tprol')
@@ -140,6 +140,9 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
real(psb_spk_) :: anorm, omega, tmp, dg, theta
logical, parameter :: debug_new=.false.
character(len=80) :: filename
logical, parameter :: do_timings=.false.
integer(psb_ipk_), save :: idx_spspmm=-1, idx_phase1=-1, idx_gtrans=-1, idx_phase2=-1, idx_refine=-1
integer(psb_ipk_), save :: idx_phase3=-1, idx_cdasb=-1, idx_ptap=-1
name='amg_aggrmat_smth_bld'
info=psb_success_
@@ -153,6 +156,23 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
ctxt = desc_a%get_context()
call psb_info(ctxt, me, np)
if ((do_timings).and.(idx_spspmm==-1)) &
& idx_spspmm = psb_get_timer_idx("DEC_SMTH_BLD: par_spspmm")
if ((do_timings).and.(idx_phase1==-1)) &
& idx_phase1 = psb_get_timer_idx("DEC_SMTH_BLD: phase1 ")
if ((do_timings).and.(idx_phase2==-1)) &
& idx_phase2 = psb_get_timer_idx("DEC_SMTH_BLD: phase2 ")
if ((do_timings).and.(idx_phase3==-1)) &
& idx_phase3 = psb_get_timer_idx("DEC_SMTH_BLD: phase3 ")
if ((do_timings).and.(idx_gtrans==-1)) &
& idx_gtrans = psb_get_timer_idx("DEC_SMTH_BLD: gtrans ")
if ((do_timings).and.(idx_refine==-1)) &
& idx_refine = psb_get_timer_idx("DEC_SMTH_BLD: refine ")
if ((do_timings).and.(idx_cdasb==-1)) &
& idx_cdasb = psb_get_timer_idx("DEC_SMTH_BLD: cdasb ")
if ((do_timings).and.(idx_ptap==-1)) &
& idx_ptap = psb_get_timer_idx("DEC_SMTH_BLD: ptap_bld ")
nglob = desc_a%get_global_rows()
nrow = desc_a%get_local_rows()
@@ -171,6 +191,7 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
! naggr: number of local aggregates
! nrow: local rows.
!
if (do_timings) call psb_tic(idx_phase1)
! Get the diagonal D
adiag = a%get_diag(info)
@@ -196,7 +217,7 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
!
! Build the filtered matrix Af from A
!
!$OMP parallel do private(i,j,tmp,jd) schedule(static)
do i=1, nrow
tmp = szero
jd = -1
@@ -214,11 +235,13 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
acsrf%val(jd)=acsrf%val(jd)-tmp
end if
enddo
!$OMP end parallel do
! Take out zeroed terms
call acsrf%clean_zeros(info)
end if
!$OMP parallel do private(i) schedule(static)
do i=1,size(adiag)
if (adiag(i) /= szero) then
adiag(i) = sone / adiag(i)
@@ -226,7 +249,7 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
adiag(i) = sone
end if
end do
!$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then
if (parms%aggr_eig == amg_max_norm_) then
@@ -252,8 +275,9 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(info,name,a_err='invalid amg_aggr_omega_alg_')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase1)
if (do_timings) call psb_tic(idx_phase2)
call acsrf%scal(adiag,info)
if (info /= psb_success_) goto 9999
@@ -267,6 +291,8 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_cdasb(desc_ac,info)
call psb_cd_reinit(desc_ac,info)
if (do_timings) call psb_toc(idx_phase2)
if (do_timings) call psb_tic(idx_phase3)
!
! Build the smoothed prolongator using either A or Af
! acsr1 = (I-w*D*A) Prol acsr1 = (I-w*D*Af) Prol
@@ -279,8 +305,8 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(psb_err_from_subroutine_,name,a_err='spspmm 1')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase3)
if (do_timings) call psb_tic(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done SPSPMM 1'
@@ -292,7 +318,7 @@ subroutine amg_saggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call op_prol%mv_from(coo_prol)
call op_restr%mv_from(coo_restr)
if (do_timings) call psb_toc(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done smooth_aggregate '
@@ -97,6 +97,8 @@ subroutine amg_z_dec_aggregator_build_tprol(ag,parms,ag_data,&
integer(psb_lpk_) :: ntaggr
integer(psb_ipk_) :: debug_level, debug_unit
logical :: clean_zeros
integer(psb_ipk_), save :: idx_map_bld=-1, idx_map_tprol=-1
logical, parameter :: do_timings=.false.
name='amg_z_dec_aggregator_tprol'
call psb_erractionsave(err_act)
@@ -108,6 +110,10 @@ subroutine amg_z_dec_aggregator_build_tprol(ag,parms,ag_data,&
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_map_bld==-1)) &
& idx_map_bld = psb_get_timer_idx("DEC_TPROL: map_bld")
if ((do_timings).and.(idx_map_tprol==-1)) &
& idx_map_tprol = psb_get_timer_idx("DEC_TPROL: map_tprol")
call amg_check_def(parms%ml_cycle,'Multilevel cycle',&
& amg_mult_ml_,is_legal_ml_cycle)
@@ -121,10 +127,14 @@ subroutine amg_z_dec_aggregator_build_tprol(ag,parms,ag_data,&
! The decoupled aggregator based on SOC measures ignores
! ag_data except for clean_zeros; soc_map_bld is a procedure pointer.
!
if (do_timings) call psb_tic(idx_map_bld)
clean_zeros = ag%do_clean_zeros
call ag%soc_map_bld(parms%aggr_ord,parms%aggr_thresh,clean_zeros,a,desc_a,nlaggr,ilaggr,info)
if (do_timings) call psb_toc(idx_map_bld)
if (do_timings) call psb_tic(idx_map_tprol)
if (info==psb_success_) call amg_map_to_tprol(desc_a,ilaggr,nlaggr,t_prol,info)
if (do_timings) call psb_toc(idx_map_tprol)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name,a_err='soc_map_bld/map_to_tprol')
@@ -140,6 +140,9 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
real(psb_dpk_) :: anorm, omega, tmp, dg, theta
logical, parameter :: debug_new=.false.
character(len=80) :: filename
logical, parameter :: do_timings=.false.
integer(psb_ipk_), save :: idx_spspmm=-1, idx_phase1=-1, idx_gtrans=-1, idx_phase2=-1, idx_refine=-1
integer(psb_ipk_), save :: idx_phase3=-1, idx_cdasb=-1, idx_ptap=-1
name='amg_aggrmat_smth_bld'
info=psb_success_
@@ -153,6 +156,23 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
ctxt = desc_a%get_context()
call psb_info(ctxt, me, np)
if ((do_timings).and.(idx_spspmm==-1)) &
& idx_spspmm = psb_get_timer_idx("DEC_SMTH_BLD: par_spspmm")
if ((do_timings).and.(idx_phase1==-1)) &
& idx_phase1 = psb_get_timer_idx("DEC_SMTH_BLD: phase1 ")
if ((do_timings).and.(idx_phase2==-1)) &
& idx_phase2 = psb_get_timer_idx("DEC_SMTH_BLD: phase2 ")
if ((do_timings).and.(idx_phase3==-1)) &
& idx_phase3 = psb_get_timer_idx("DEC_SMTH_BLD: phase3 ")
if ((do_timings).and.(idx_gtrans==-1)) &
& idx_gtrans = psb_get_timer_idx("DEC_SMTH_BLD: gtrans ")
if ((do_timings).and.(idx_refine==-1)) &
& idx_refine = psb_get_timer_idx("DEC_SMTH_BLD: refine ")
if ((do_timings).and.(idx_cdasb==-1)) &
& idx_cdasb = psb_get_timer_idx("DEC_SMTH_BLD: cdasb ")
if ((do_timings).and.(idx_ptap==-1)) &
& idx_ptap = psb_get_timer_idx("DEC_SMTH_BLD: ptap_bld ")
nglob = desc_a%get_global_rows()
nrow = desc_a%get_local_rows()
@@ -171,6 +191,7 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
! naggr: number of local aggregates
! nrow: local rows.
!
if (do_timings) call psb_tic(idx_phase1)
! Get the diagonal D
adiag = a%get_diag(info)
@@ -196,7 +217,7 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
!
! Build the filtered matrix Af from A
!
!$OMP parallel do private(i,j,tmp,jd) schedule(static)
do i=1, nrow
tmp = zzero
jd = -1
@@ -214,11 +235,13 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
acsrf%val(jd)=acsrf%val(jd)-tmp
end if
enddo
!$OMP end parallel do
! Take out zeroed terms
call acsrf%clean_zeros(info)
end if
!$OMP parallel do private(i) schedule(static)
do i=1,size(adiag)
if (adiag(i) /= zzero) then
adiag(i) = zone / adiag(i)
@@ -226,7 +249,7 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
adiag(i) = zone
end if
end do
!$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then
if (parms%aggr_eig == amg_max_norm_) then
@@ -252,8 +275,9 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(info,name,a_err='invalid amg_aggr_omega_alg_')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase1)
if (do_timings) call psb_tic(idx_phase2)
call acsrf%scal(adiag,info)
if (info /= psb_success_) goto 9999
@@ -267,6 +291,8 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_cdasb(desc_ac,info)
call psb_cd_reinit(desc_ac,info)
if (do_timings) call psb_toc(idx_phase2)
if (do_timings) call psb_tic(idx_phase3)
!
! Build the smoothed prolongator using either A or Af
! acsr1 = (I-w*D*A) Prol acsr1 = (I-w*D*Af) Prol
@@ -279,8 +305,8 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call psb_errpush(psb_err_from_subroutine_,name,a_err='spspmm 1')
goto 9999
end if
if (do_timings) call psb_toc(idx_phase3)
if (do_timings) call psb_tic(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done SPSPMM 1'
@@ -292,7 +318,7 @@ subroutine amg_zaggrmat_smth_bld(a,desc_a,ilaggr,nlaggr,parms,&
call op_prol%mv_from(coo_prol)
call op_restr%mv_from(coo_restr)
if (do_timings) call psb_toc(idx_ptap)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Done smooth_aggregate '
+91
View File
@@ -0,0 +1,91 @@
#include "MatchBoxPC.h"
// TODO comment
void clean(MilanLongInt NLVer,
MilanInt myRank,
MilanLongInt MessageIndex,
vector<MPI_Request> &SRequest,
vector<MPI_Status> &SStatus,
MilanInt BufferSize,
MilanLongInt *Buffer,
MilanLongInt msgActual,
MilanLongInt *msgActualSent,
MilanLongInt msgInd,
MilanLongInt *msgIndSent,
MilanLongInt NumMessagesBundled,
MilanReal *msgPercent)
{
// Cleanup Phase
#pragma omp parallel
{
#pragma omp master
{
#pragma omp task
{
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ") Waitall= " << endl;
fflush(stdout);
#endif
#ifdef DEBUG_HANG_
cout << "\n(" << myRank << ") Waitall " << endl;
fflush(stdout);
#endif
//return;
MPI_Waitall(MessageIndex, &SRequest[0], &SStatus[0]);
// MPI_Buffer_attach(&Buffer, BufferSize); //Attach the Buffer
if (BufferSize > 0)
{
MPI_Buffer_detach(&Buffer, &BufferSize); // Detach the Buffer
free(Buffer); // Free the memory that was allocated
}
}
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")End of function to compute matching: " << endl;
fflush(stdout);
cout << "\n(" << myRank << ")myCardinality: " << myCard << endl;
fflush(stdout);
cout << "\n(" << myRank << ")Matching took " << finishTime - startTime << "seconds" << endl;
fflush(stdout);
cout << "\n(" << myRank << ")** Getting out of the matching function **" << endl;
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ") Number of Ghost edges = " << numGhostEdges;
cout << "\n(" << myRank << ") Total number of potential message X 2 = " << numGhostEdges * 2;
cout << "\n(" << myRank << ") Number messages bundled = " << NumMessagesBundled;
cout << "\n(" << myRank << ") Total Individual Messages sent = " << msgInd;
if (msgInd > 0)
{
cout << "\n(" << myRank << ") Percentage of messages bundled = " << ((double)NumMessagesBundled / (double)(msgInd)) * 100.0 << "% \n";
}
fflush(stdout);
#endif
#pragma omp task
{
*msgActualSent = msgActual;
*msgIndSent = msgInd;
if (msgInd > 0)
{
*msgPercent = ((double)NumMessagesBundled / (double)(msgInd)) * 100.0;
}
else
{
*msgPercent = 0;
}
}
#ifdef DEBUG_HANG_
if (myRank == 0)
cout << "\n(" << myRank << ") Done" << endl;
fflush(stdout);
#endif
}
}
}
@@ -0,0 +1,73 @@
#include "MatchBoxPC.h"
/**
* Execute the research fr the Candidate Mate without controlling if the vertices are already matched.
* Returns the vertices with the highest weight
* @param adj1
* @param adj2
* @param verLocInd
* @param edgeLocWeight
* @return
*/
MilanLongInt firstComputeCandidateMate(MilanLongInt adj1,
MilanLongInt adj2,
MilanLongInt *verLocInd,
MilanReal *edgeLocWeight)
{
MilanInt w = -1;
MilanReal heaviestEdgeWt = MilanRealMin; // Assign the smallest Value possible first LDBL_MIN
int finalK;
for (int k = adj1; k < adj2; k++) {
if ((edgeLocWeight[k] > heaviestEdgeWt) ||
((edgeLocWeight[k] == heaviestEdgeWt) && (w < verLocInd[k]))) {
heaviestEdgeWt = edgeLocWeight[k];
w = verLocInd[k];
finalK = k;
}
} // End of for loop
return finalK;
}
/**
* //TODO documentation
* @param adj1
* @param adj2
* @param edgeLocWeight
* @param k
* @param verLocInd
* @param StartIndex
* @param EndIndex
* @param GMate
* @param Mate
* @param Ghost2LocalMap
* @return
*/
MilanLongInt computeCandidateMate(MilanLongInt adj1,
MilanLongInt adj2,
MilanReal *edgeLocWeight,
MilanLongInt k,
MilanLongInt *verLocInd,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap)
{
// Start: PARALLEL_COMPUTE_CANDIDATE_MATE_B(v)
MilanInt w = -1;
MilanReal heaviestEdgeWt = MilanRealMin; // Assign the smallest Value possible first LDBL_MIN
for (k = adj1; k < adj2; k++) {
if (isAlreadyMatched(verLocInd[k], StartIndex, EndIndex, GMate, Mate, Ghost2LocalMap))
continue;
if ((edgeLocWeight[k] > heaviestEdgeWt) ||
((edgeLocWeight[k] == heaviestEdgeWt) && (w < verLocInd[k]))) {
heaviestEdgeWt = edgeLocWeight[k];
w = verLocInd[k];
}
} // End of for loop
// End: PARALLEL_COMPUTE_CANDIDATE_MATE_B(v)
return w;
}
+4 -2
View File
@@ -80,9 +80,11 @@ class staticQueue
MilanLongInt squeueTail;
MilanLongInt NumNodes;
//FIXME I had to comment this piece of code in order to make everything work.
// why?
//Prevent Assignment and Pass by Value:
staticQueue(const staticQueue& src);
staticQueue& operator=(const staticQueue& rhs);
//staticQueue(const staticQueue& src);
//staticQueue& operator=(const staticQueue& rhs);
public:
//Constructors and Destructors
+31
View File
@@ -0,0 +1,31 @@
#include "MatchBoxPC.h"
void extractUChunk(
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU)
{
UChunkBeingProcessed.clear();
#pragma omp critical(U)
{
if (U.empty() && !privateU.empty()) // If U is empty but there are nodes in private U
{
while (!privateU.empty())
UChunkBeingProcessed.push_back(privateU.back());
privateU.pop_back();
}
else
{
for (int i = 0; i < UCHUNK; i++)
{ // Pop the new nodes
if (U.empty())
break;
UChunkBeingProcessed.push_back(U.back());
U.pop_back();
}
}
} // End of critical U // End of critical U
}
@@ -0,0 +1,29 @@
#include "MatchBoxPC.h"
/// Find the owner of a ghost node:
MilanInt findOwnerOfGhost(MilanLongInt vtxIndex, MilanLongInt *mVerDistance,
MilanInt myRank, MilanInt numProcs)
{
MilanLongInt mStartInd = mVerDistance[myRank];
MilanInt Start = 0;
MilanInt End = numProcs;
MilanInt Current = 0;
while (Start <= End)
{
Current = (End + Start) / 2;
// CASE-1:
if (mVerDistance[Current] == vtxIndex) return Current;
else // CASE 2:
if (mVerDistance[Current] > vtxIndex)
End = Current - 1;
else // CASE 3:
Start = Current + 1;
} // End of While()
if (mVerDistance[Current] > vtxIndex)
return (Current - 1);
return Current;
} // End of findOwnerOfGhost()
+304
View File
@@ -0,0 +1,304 @@
#include "MatchBoxPC.h"
void initialize(MilanLongInt NLVer, MilanLongInt NLEdge,
MilanLongInt StartIndex, MilanLongInt EndIndex,
MilanLongInt *numGhostEdges,
MilanLongInt *numGhostVertices,
MilanLongInt *S,
MilanLongInt *verLocInd,
MilanLongInt *verLocPtr,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
vector<MilanLongInt> &Counter,
vector<MilanLongInt> &verGhostPtr,
vector<MilanLongInt> &verGhostInd,
vector<MilanLongInt> &tempCounter,
vector<MilanLongInt> &GMate,
vector<MilanLongInt> &Message,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
MilanLongInt *&candidateMate,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner)
{
MilanLongInt insertMe = 0;
MilanLongInt adj1, adj2;
int i, v, k, w;
// index that starts with zero to |Vg| - 1
map<MilanLongInt, MilanLongInt>::iterator storedAlready;
#pragma omp parallel private(insertMe, k, w, v, adj1, adj2) firstprivate(StartIndex, EndIndex) default(shared) num_threads(NUM_THREAD)
{
#pragma omp single
{
#ifdef TIME_TRACKER
double Ghost2LocalInitialization = MPI_Wtime();
#endif
/*
* OMP Ghost2LocalInitialization
* This loop analyzes all the edges and when finds a ghost edge
* puts it in the Ghost2LocalMap.
* A critical region is needed when inserting data in the map.
*
* Despite the critical region it is still productive to
* parallelize this cycle because the critical region is exeuted
* only when a ghost edge is found and ghost edges are a minority,
* circa 3.5% during the tests.
*/
#pragma omp task depend(out \
: *numGhostEdges, Counter, Ghost2LocalMap, insertMe, storedAlready, *numGhostVertices)
{
#pragma omp taskloop num_tasks(NUM_THREAD) reduction(+ \
: numGhostEdges[:1])
for (i = 0; i < NLEdge; i++)
{ // O(m) - Each edge stored twice
insertMe = verLocInd[i];
if ((insertMe < StartIndex) || (insertMe > EndIndex))
{ // Find a ghost
(*numGhostEdges)++;
#pragma omp critical
{
storedAlready = Ghost2LocalMap.find(insertMe);
if (storedAlready != Ghost2LocalMap.end())
{ // Has already been added
Counter[storedAlready->second]++; // Increment the counter
}
else
{ // Insert an entry for the ghost:
Ghost2LocalMap[insertMe] = *numGhostVertices; // Add a map entry
Counter.push_back(1); // Initialize the counter
(*numGhostVertices)++; // Increment the number of ghost vertices
} // End of else()
}
} // End of if ( (insertMe < StartIndex) || (insertMe > EndIndex) )
} // End of for(ghost vertices)
} // end of task depend
// *numGhostEdges = atomicNumGhostEdges;
#ifdef TIME_TRACKER
Ghost2LocalInitialization = MPI_Wtime() - Ghost2LocalInitialization;
fprintf(stderr, "Ghost2LocalInitialization time: %f\n", Ghost2LocalInitialization);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")NGhosts:" << *numGhostVertices << " GhostEdges: " << *numGhostEdges;
if (!Ghost2LocalMap.empty())
{
cout << "\n(" << myRank << ")Final Map : on process ";
cout << "\n(" << myRank << ")Key \t Value \t Counter \n";
fflush(stdout);
storedAlready = Ghost2LocalMap.begin();
do
{
cout << storedAlready->second << " - " << storedAlready->first << " : " << Counter[storedAlready->second] << endl;
fflush(stdout);
storedAlready++;
} while (storedAlready != Ghost2LocalMap.end());
}
#endif
#pragma omp task depend(out \
: verGhostPtr, tempCounter, verGhostInd, GMate) depend(in \
: *numGhostVertices, *numGhostEdges)
{
// Initialize adjacency Lists for Ghost Vertices:
try
{
verGhostPtr.reserve(*numGhostVertices + 1); // Pointer Vector
tempCounter.reserve(*numGhostVertices); // Pointer Vector
verGhostInd.reserve(*numGhostEdges); // Index Vector
GMate.reserve(*numGhostVertices); // Ghost Mate Vector
}
catch (length_error)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesLinearSearch: \n";
cout << "Not enough memory to allocate the internal variables \n";
exit(1);
}
// Initialize the Vectors:
verGhostPtr.resize(*numGhostVertices + 1, 0); // Pointer Vector
tempCounter.resize(*numGhostVertices, 0); // Temporary Counter
verGhostInd.resize(*numGhostEdges, -1); // Index Vector
GMate.resize(*numGhostVertices, -1); // Temporary Counter
verGhostPtr[0] = 0; // The first value
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Ghost Vertex Pointer: ";
fflush(stdout);
#endif
} // End of task
#pragma omp task depend(out \
: verGhostPtr) depend(in \
: Counter, *numGhostVertices)
{
#ifdef TIME_TRACKER
double verGhostPtrInitialization = MPI_Wtime();
#endif
for (i = 0; i < *numGhostVertices; i++)
{ // O(|Ghost Vertices|)
verGhostPtr[i + 1] = verGhostPtr[i] + Counter[i];
#ifdef PRINT_DEBUG_INFO_
cout << verGhostPtr[i] << "\t";
fflush(stdout);
#endif
}
#ifdef TIME_TRACKER
verGhostPtrInitialization = MPI_Wtime() - verGhostPtrInitialization;
fprintf(stderr, "verGhostPtrInitialization time: %f\n", verGhostPtrInitialization);
#endif
} // End of task
#ifdef PRINT_DEBUG_INFO_
if (*numGhostVertices > 0)
cout << verGhostPtr[*numGhostVertices] << "\n";
fflush(stdout);
#endif
#ifdef TIME_TRACKER
double verGhostIndInitialization = MPI_Wtime();
#endif
/*
* OMP verGhostIndInitialization
*
* In this cycle the verGhostInd is initialized
* with the datas related to ghost edges.
* The check to see if a node is a ghost node is
* executed in paralle and when a ghost node
* is found a critical region is started.
*
* Despite the critical region it's still useful to
* parallelize the for cause the ghost nodes
* are a minority hence the critical region is executed
* few times, circa 3.5% of the times in the tests.
*/
#pragma omp task depend(in \
: insertMe, Ghost2LocalMap, tempCounter, verGhostPtr) depend(out \
: verGhostInd)
{
#pragma omp taskloop num_tasks(NUM_THREAD)
for (v = 0; v < NLVer; v++)
{
adj1 = verLocPtr[v]; // Vertex Pointer
adj2 = verLocPtr[v + 1];
for (k = adj1; k < adj2; k++)
{
w = verLocInd[k]; // Get the adjacent vertex
if ((w < StartIndex) || (w > EndIndex))
{ // Find a ghost
#pragma omp critical
{
insertMe = verGhostPtr[Ghost2LocalMap[w]] + tempCounter[Ghost2LocalMap[w]]; // Where to insert
tempCounter[Ghost2LocalMap[w]]++; // Increment the counter
}
verGhostInd[insertMe] = v + StartIndex; // Add the adjacency
} // End of if((w < StartIndex) || (w > EndIndex))
} // End of for(k)
} // End of for (v)
} // end of tasklopp
#ifdef TIME_TRACKER
verGhostIndInitialization = MPI_Wtime() - verGhostIndInitialization;
fprintf(stderr, "verGhostIndInitialization time: %f\n", verGhostIndInitialization);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Ghost Vertex Index: ";
for (v = 0; v < *numGhostEdges; v++)
cout << verGhostInd[v] << "\t";
cout << endl;
fflush(stdout);
#endif
#pragma omp task depend(in \
: *numGhostEdges) depend(out \
: QLocalVtx, QGhostVtx, QMsgType, QOwner)
{
try
{
QLocalVtx.reserve(*numGhostEdges); // Local Vertex
QGhostVtx.reserve(*numGhostEdges); // Ghost Vertex
QMsgType.reserve(*numGhostEdges); // Message Type (Request/Failure)
QOwner.reserve(*numGhostEdges); // Owner of the ghost: COmpute once and use later
}
catch (length_error)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesMessageBundling: \n";
cout << "Not enough memory to allocate the internal variables \n";
exit(1);
}
} // end of task
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Allocating CandidateMate.. ";
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ") Setup Time :" << *ph0_time << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef DEBUG_HANG_
if (myRank == 0)
cout << "\n(" << myRank << ") Setup Time :" << *ph0_time << endl;
fflush(stdout);
#endif
#pragma omp task depend(in \
: *numGhostVertices) depend(out \
: candidateMate, S, U, privateU, privateQLocalVtx, privateQGhostVtx, privateQMsgType, privateQOwner)
{
// Allocate Data Structures:
/*
* candidateMate was a vector and has been replaced with an array
* there is no point in using the vector (or maybe there is (???))
* so I replaced it with an array wich is slightly faster
*/
candidateMate = new MilanLongInt[NLVer + (*numGhostVertices)];
*S = (*numGhostVertices); // Initialize S with number of Ghost Vertices
/*
* Create the Queue Data Structure for the Dominating Set
*
* I had to declare the staticuQueue U before the parallel region
* to have it in the correct scope. Since we can't change the dimension
* of a staticQueue I had to destroy the previous object and instantiate
* a new one of the correct size.
*/
//new (&U) staticQueue(NLVer + (*numGhostVertices));
U.reserve(NLVer + (*numGhostVertices));
// Initialize the private vectors
privateQLocalVtx.reserve(*numGhostVertices);
privateQGhostVtx.reserve(*numGhostVertices);
privateQMsgType.reserve(*numGhostVertices);
privateQOwner.reserve(*numGhostVertices);
privateU.reserve(*numGhostVertices);
} // end of task
} // End of single region
} // End of parallel region
}
@@ -0,0 +1,46 @@
#include "MatchBoxPC.h"
/**
* //TODO documentation
* @param k
* @param verLocInd
* @param StartIndex
* @param EndIndex
* @param GMate
* @param Mate
* @param Ghost2LocalMap
* @return
*/
bool isAlreadyMatched(MilanLongInt node,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap)
{
/*
#pragma omp critical(Mate)
{
if ((node < StartIndex) || (node > EndIndex)) { //Is it a ghost vertex?
result = GMate[Ghost2LocalMap[node]] >= 0;// Already matched
} else { //A local vertex
result = (Mate[node - StartIndex] >= 0); // Already matched
}
}
*/
MilanLongInt val;
if ((node < StartIndex) || (node > EndIndex)) // if ghost vertex
{
#pragma omp atomic read
val = GMate[Ghost2LocalMap[node]];
return val >= 0; // Already matched
}
// If not ghost vertex
#pragma omp atomic read
val = Mate[node - StartIndex];
return val >= 0; // Already matched
}
@@ -0,0 +1,117 @@
#include <string.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "psb_base_cbind.h"
#include "MatchingAlgorithms.h"
#ifdef __cplusplus
extern "C" {
#endif
psb_i_t dnew_Match_If(psb_i_t ipar, psb_i_t matching, psb_d_t lambda,
psb_i_t nr, psb_i_t irp[], psb_i_t ja[],
psb_d_t val[], psb_d_t diag[],
psb_d_t w[], psb_i_t mate[]);
#ifdef __cplusplus
}
#endif
psb_i_t dnew_Match_If(psb_i_t ipar, psb_i_t matching, psb_d_t lambda,
psb_i_t nr, psb_i_t irp[], psb_i_t ja[],
psb_d_t val[], psb_d_t diag[], psb_d_t w[],
psb_i_t mate[])
{
psb_i_t info;
psb_i_t i,j,k;
psb_i_t ftcoarse=1;
psb_i_t cr_it=0, cr_relax_type=0;
psb_d_t cr_relax_weight=0.0;
vector<NODE_T> s;
vector<NODE_T> t;
vector<VAL_T> weights;
vector<NODE_T> mateNode;
NODE_T u,v;
VAL_T weight;
psb_i_t preprocess = matching; // 0 no greedy 1 greedy
psb_i_t romaInput = ipar; // 1 sequential 2 parallel
// VAL_T lambda = 2; // positive real value
psb_d_t aii, ajj, aij, wii, wjj, tmp1, tmp2, minabs, edgnrm;
psb_i_t nt; // number of threads, got with 1 for testing purposes.
psb_d_t timeDiff;
MatchStat pstat;
double eps=1e-16;
double minweight,maxweight;
char *numthreadsenv;
numthreadsenv=getenv("OMP_NUM_THREADS");
if (numthreadsenv) {
sscanf(numthreadsenv,"%d",&nt);
} else {
nt = 1;
}
minabs = 1e300;
// fprintf(stderr,"Sanity check: %d %d \n",nr,nc);
k=0;
for (i=1; i<nr; i++) {
for (j=irp[i-1]; j<irp[i]; j++) {
v = i-1; // I
u = ja[j-1] - 1; // J
if (v>u) {
// Define Ahat entry
aij = val[j-1];
aii = diag[v];
ajj = diag[u];
wii = w[v];
wjj = w[u];
edgnrm = aii*(wii*wii) + ajj*(wjj*wjj);
if (edgnrm > eps) {
weight = abs(1.0 - (2*1.0*aij*wii*wjj)/(aii*(wii*wii) + ajj*(wjj*wjj)));
} else {
weight = eps;
}
//
s.push_back(u);
t.push_back(v);
weights.push_back(weight);
k = k + 1 ;
if (weight<minabs) minabs=weight;
}
}
}
maxweight = eps;
minweight = 1e300;
//fprintf(stderr,"minabs %g\n",minabs);
for (i=0; i<k; i++) {
weights[i] = log(weights[i]/(0.999*minabs));
if (weights[i]>maxweight) maxweight=weights[i];
if (weights[i]<minweight) minweight=weights[i];
}
if (lambda<0.0){
lambda = maxweight-2.0*minweight+eps;
if (lambda<0.0) lambda=eps;
} else if (lambda >= 0 && lambda <= 1.0){
lambda = lambda*eps + (1.0-lambda)*(fmax(maxweight-2.0*minweight,0.0) );
}
//fprintf(stderr,"Calling matching: pre %d nt %d lambda %g %g %g\n",
// preprocess,nt,lambda,maxweight,minweight);
runRomaWrapper(s,t,weights, nr, mateNode,preprocess,romaInput,lambda ,nt, pstat, timeDiff);
/* loop here only makes sense when nr==nz */
for (i=0; i< nr; i++) {
//fprintf(stderr,"From runRomaWrapper: %d %d\n",i,mateNode[i]);
if (mateNode[i]>=0) {
mate[i] = mateNode[i]+1;
} else {
mate[i] = mateNode[i];
//fprintf(stderr,"From runRomaWrapper: %d %d\n",i,mateNode[i]);
}
}
return(0);
}
@@ -0,0 +1,27 @@
#include "MatchBoxPC.h"
void PARALLEL_COMPUTE_CANDIDATE_MATE_B(MilanLongInt NLVer,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanInt myRank,
MilanReal *edgeLocWeight,
MilanLongInt *candidateMate)
{
MilanLongInt v = -1;
#pragma omp parallel private(v) default(shared) num_threads(NUM_THREAD)
{
#pragma omp for schedule(static)
for (v = 0; v < NLVer; v++) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Processing: " << v + StartIndex << endl;
fflush(stdout);
#endif
// Start: PARALLEL_COMPUTE_CANDIDATE_MATE_B(v)
candidateMate[v] = firstComputeCandidateMate(verLocPtr[v], verLocPtr[v + 1], verLocInd, edgeLocWeight);
// End: PARALLEL_COMPUTE_CANDIDATE_MATE_B(v)
}
}
}
@@ -0,0 +1,24 @@
#include "MatchBoxPC.h"
void PROCESS_CROSS_EDGE(MilanLongInt *edge,
MilanLongInt *S)
{
// Start: PARALLEL_PROCESS_CROSS_EDGE_B
MilanLongInt captureCounter;
#pragma omp atomic capture
captureCounter = --(*edge); // Decrement
//assert(captureCounter >= 0);
if (captureCounter == 0)
#pragma omp atomic
(*S)--; // Decrement S
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Decrementing S: Ghost vertex " << edge << " has received all its messages";
fflush(stdout);
#endif
// End: PARALLEL_PROCESS_CROSS_EDGE_B
}
@@ -0,0 +1,195 @@
#include "MatchBoxPC.h"
void PARALLEL_PROCESS_EXPOSED_VERTEX_B(MilanLongInt NLVer,
MilanLongInt *candidateMate,
MilanLongInt *verLocInd,
MilanLongInt *verLocPtr,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *Mate,
vector<MilanLongInt> &GMate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
MilanLongInt *myCard,
MilanLongInt *msgInd,
MilanLongInt *NumMessagesBundled,
MilanLongInt *S,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner)
{
MilanLongInt v = -1, k = -1, w = -1, adj11 = 0, adj12 = 0, k1 = 0;
MilanInt ghostOwner = 0, option, igw;
#pragma omp parallel private(option, k, w, v, k1, adj11, adj12, ghostOwner) \
firstprivate(privateU, StartIndex, EndIndex, privateQLocalVtx, privateQGhostVtx, privateQMsgType, privateQOwner) \
default(shared) num_threads(NUM_THREAD)
{
#pragma omp for reduction(+ \
: PCounter[:numProcs], myCard \
[:1], msgInd \
[:1], NumMessagesBundled \
[:1]) \
schedule(static)
for (v = 0; v < NLVer; v++) {
option = -1;
// Start: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
k = candidateMate[v];
candidateMate[v] = verLocInd[k];
w = candidateMate[v];
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Processing: " << v + StartIndex << endl;
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")" << v + StartIndex << " Points to: " << w;
fflush(stdout);
#endif
// If found a dominating edge:
if (w >= 0)
{
#pragma omp critical(processExposed)
{
if (isAlreadyMatched(verLocInd[k], StartIndex, EndIndex, GMate, Mate, Ghost2LocalMap)) {
w = computeCandidateMate(verLocPtr[v],
verLocPtr[v + 1],
edgeLocWeight, 0,
verLocInd,
StartIndex,
EndIndex,
GMate,
Mate,
Ghost2LocalMap);
candidateMate[v] = w;
}
if (w >= 0) {
(*myCard)++;
if ((w < StartIndex) || (w > EndIndex)) { // w is a ghost vertex
option = 2;
if (candidateMate[NLVer + Ghost2LocalMap[w]] == v + StartIndex) {
option = 1;
Mate[v] = w;
GMate[Ghost2LocalMap[w]] = v + StartIndex; // w is a Ghost
} // End of if CandidateMate[w] = v
} // End of if a Ghost Vertex
else { // w is a local vertex
if (candidateMate[w - StartIndex] == (v + StartIndex)) {
option = 3;
Mate[v] = w; // v is local
Mate[w - StartIndex] = v + StartIndex; // w is local
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v + StartIndex << "," << w << ") ";
fflush(stdout);
#endif
} // End of if ( candidateMate[w-StartIndex] == (v+StartIndex) )
} // End of Else
} // End of second if
} // End critical processExposed
} // End of if(w >=0)
else {
// This piece of code is executed a really small amount of times
adj11 = verLocPtr[v];
adj12 = verLocPtr[v + 1];
for (k1 = adj11; k1 < adj12; k1++) {
w = verLocInd[k1];
if ((w < StartIndex) || (w > EndIndex)) { // A ghost
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a failure message: ";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs);
fflush(stdout);
#endif
(*msgInd)++;
(*NumMessagesBundled)++;
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// assert(ghostOwner != -1);
// assert(ghostOwner != myRank);
PCounter[ghostOwner]++;
privateQLocalVtx.push_back(v + StartIndex);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(FAILURE);
privateQOwner.push_back(ghostOwner);
} // End of if(GHOST)
} // End of for loop
}
// End: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
switch (option)
{
case -1:
break;
case 1:
privateU.push_back(v + StartIndex);
privateU.push_back(w);
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v + StartIndex << "," << w << ")";
fflush(stdout);
#endif
// Decrement the counter:
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[w]], S);
case 2:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a request message (291):";
cout << "\n(" << myRank << ")Local is: " << v + StartIndex << " Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs) << endl;
fflush(stdout);
#endif
(*msgInd)++;
(*NumMessagesBundled)++;
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// assert(ghostOwner != -1);
// assert(ghostOwner != myRank);
PCounter[ghostOwner]++;
privateQLocalVtx.push_back(v + StartIndex);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(REQUEST);
privateQOwner.push_back(ghostOwner);
break;
case 3:
default:
privateU.push_back(v + StartIndex);
privateU.push_back(w);
break;
}
} // End of for ( v=0; v < NLVer; v++ )
queuesTransfer(U, privateU, QLocalVtx,
QGhostVtx,
QMsgType, QOwner, privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
} // End of parallel region
}
@@ -0,0 +1,294 @@
#include "MatchBoxPC.h"
void processMatchedVertices(
MilanLongInt NLVer,
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCard,
MilanLongInt *msgInd,
MilanLongInt *NumMessagesBundled,
MilanLongInt *SPtr,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
MilanLongInt *candidateMate,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner)
{
MilanLongInt adj1, adj2, adj11, adj12, k, k1, v = -1, w = -1, ghostOwner;
int option;
MilanLongInt mateVal;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef COUNT_LOCAL_VERTEX
MilanLongInt localVertices = 0;
#endif
//#pragma omp parallel private(k, w, v, k1, adj1, adj2, adj11, adj12, ghostOwner, option) \
firstprivate(privateU, StartIndex, EndIndex, privateQLocalVtx, privateQGhostVtx, \
privateQMsgType, privateQOwner, UChunkBeingProcessed) \
default(shared) num_threads(NUM_THREAD) \
reduction(+ \
: msgInd[:1], PCounter \
[:numProcs], myCard \
[:1], NumMessagesBundled \
[:1])
{
while (!U.empty()) {
extractUChunk(UChunkBeingProcessed, U, privateU);
for (MilanLongInt u : UChunkBeingProcessed) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")u: " << u;
fflush(stdout);
#endif
if ((u >= StartIndex) && (u <= EndIndex)) { // Process Only the Local Vertices
#ifdef COUNT_LOCAL_VERTEX
localVertices++;
#endif
// Get the Adjacency list for u
adj1 = verLocPtr[u - StartIndex]; // Pointer
adj2 = verLocPtr[u - StartIndex + 1];
for (k = adj1; k < adj2; k++) {
option = -1;
v = verLocInd[k];
if ((v >= StartIndex) && (v <= EndIndex)) { // If Local Vertex:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")v: " << v << " c(v)= " << candidateMate[v - StartIndex] << " Mate[v]: " << Mate[v];
fflush(stdout);
#endif
#pragma omp atomic read
mateVal = Mate[v - StartIndex];
// If the current vertex is pointing to a matched vertex and is not matched
if (mateVal < 0) {
#pragma omp critical
{
if (candidateMate[v - StartIndex] == u) {
// Start: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
w = computeCandidateMate(verLocPtr[v - StartIndex],
verLocPtr[v - StartIndex + 1],
edgeLocWeight, 0,
verLocInd,
StartIndex,
EndIndex,
GMate,
Mate,
Ghost2LocalMap);
candidateMate[v - StartIndex] = w;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")" << v << " Points to: " << w;
fflush(stdout);
#endif
// If found a dominating edge:
if (w >= 0) {
if ((w < StartIndex) || (w > EndIndex)) { // A ghost
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a request message:";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs);
#endif
option = 2;
if (candidateMate[NLVer + Ghost2LocalMap[w]] == v) {
option = 1;
Mate[v - StartIndex] = w; // v is a local vertex
GMate[Ghost2LocalMap[w]] = v; // w is a ghost vertex
} // End of if CandidateMate[w] = v
} // End of if a Ghost Vertex
else { // w is a local vertex
if (candidateMate[w - StartIndex] == v) {
option = 3;
Mate[v - StartIndex] = w; // v is a local vertex
Mate[w - StartIndex] = v; // w is a local vertex
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") ";
fflush(stdout);
#endif
} // End of if(CandidateMate(w) = v
} // End of Else
} // End of if(w >=0)
else
option = 4; // End of Else: w == -1
// End: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
} // End of If (candidateMate[v-StartIndex] == u
} // End of task
} // mateval < 0
} // End of if ( (v >= StartIndex) && (v <= EndIndex) ) //If Local Vertex:
else { // Neighbor is a ghost vertex
#pragma omp critical
{
if (candidateMate[NLVer + Ghost2LocalMap[v]] == u)
candidateMate[NLVer + Ghost2LocalMap[v]] = -1;
if (v != Mate[u - StartIndex])
option = 5; // u is local
} // End of critical
} // End of Else //A Ghost Vertex
switch (option)
{
case -1:
// No things to do
break;
case 1:
// Found a dominating edge, it is a ghost and candidateMate[NLVer + Ghost2LocalMap[w]] == v
privateU.push_back(v);
privateU.push_back(w);
(*myCard)++;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") ";
fflush(stdout);
#endif
// Decrement the counter:
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[w]], SPtr);
case 2:
// Found a dominating edge, it is a ghost
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// assert(ghostOwner != -1);
// assert(ghostOwner != myRank);
PCounter[ghostOwner]++;
(*NumMessagesBundled)++;
(*msgInd)++;
privateQLocalVtx.push_back(v);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(REQUEST);
privateQOwner.push_back(ghostOwner);
break;
case 3:
privateU.push_back(v);
privateU.push_back(w);
(*myCard)++;
break;
case 4:
// Could not find a dominating vertex
adj11 = verLocPtr[v - StartIndex];
adj12 = verLocPtr[v - StartIndex + 1];
for (k1 = adj11; k1 < adj12; k1++) {
w = verLocInd[k1];
if ((w < StartIndex) || (w > EndIndex)) { // A ghost
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a failure message: ";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs);
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// assert(ghostOwner != -1);
// assert(ghostOwner != myRank);
PCounter[ghostOwner]++;
(*NumMessagesBundled)++;
(*msgInd)++;
privateQLocalVtx.push_back(v);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(FAILURE);
privateQOwner.push_back(ghostOwner);
} // End of if(GHOST)
} // End of for loop
break;
case 5:
default:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a success message: ";
cout << "\n(" << myRank << ")Ghost is " << v << " Owner is: " << findOwnerOfGhost(v, verDistance, myRank, numProcs) << "\n";
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(v, verDistance, myRank, numProcs);
// assert(ghostOwner != -1);
// assert(ghostOwner != myRank);
(*NumMessagesBundled)++;
PCounter[ghostOwner]++;
(*msgInd)++;
privateQLocalVtx.push_back(u);
privateQGhostVtx.push_back(v);
privateQMsgType.push_back(SUCCESS);
privateQOwner.push_back(ghostOwner);
break;
} // End of switch
} // End of inner for
}
} // End of outer for
queuesTransfer(U, privateU, QLocalVtx,
QGhostVtx,
QMsgType, QOwner, privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
#pragma omp critical(U)
{
U.insert(U.end(), privateU.begin(), privateU.end());
}
privateU.clear();
#pragma omp critical(sendMessageTransfer)
{
QLocalVtx.insert(QLocalVtx.end(), privateQLocalVtx.begin(), privateQLocalVtx.end());
QGhostVtx.insert(QGhostVtx.end(), privateQGhostVtx.begin(), privateQGhostVtx.end());
QMsgType.insert(QMsgType.end(), privateQMsgType.begin(), privateQMsgType.end());
QOwner.insert(QOwner.end(), privateQOwner.begin(), privateQOwner.end());
}
privateQLocalVtx.clear();
privateQGhostVtx.clear();
privateQMsgType.clear();
privateQOwner.clear();
} // End of while ( !U.empty() )
#ifdef COUNT_LOCAL_VERTEX
printf("Count local vertexes: %ld for thread %d of processor %d\n",
localVertices,
omp_get_thread_num(),
myRank);
#endif
} // End of parallel region
}
@@ -0,0 +1,308 @@
#include "MatchBoxPC.h"
//#define DEBUG_HANG_
void processMatchedVerticesAndSendMessages(
MilanLongInt NLVer,
vector<MilanLongInt> &UChunkBeingProcessed,
vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCard,
MilanLongInt *msgInd,
MilanLongInt *NumMessagesBundled,
MilanLongInt *SPtr,
MilanLongInt *verLocPtr,
MilanLongInt *verLocInd,
MilanLongInt *verDistance,
MilanLongInt *PCounter,
vector<MilanLongInt> &Counter,
MilanInt myRank,
MilanInt numProcs,
MilanLongInt *candidateMate,
vector<MilanLongInt> &GMate,
MilanLongInt *Mate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
MilanReal *edgeLocWeight,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner,
MPI_Comm comm,
MilanLongInt *msgActual,
vector<MilanLongInt> &Message)
{
MilanLongInt initialSize = QLocalVtx.size();
MilanLongInt adj1, adj2, adj11, adj12, k, k1, v = -1, w = -1, ghostOwner;
int option;
MilanLongInt mateVal;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef COUNT_LOCAL_VERTEX
MilanLongInt localVertices = 0;
#endif
//#pragma omp parallel private(k, w, v, k1, adj1, adj2, adj11, adj12, ghostOwner, option) \
firstprivate(Message, privateU, StartIndex, EndIndex, privateQLocalVtx, privateQGhostVtx,\
privateQMsgType, privateQOwner, UChunkBeingProcessed) default(shared) \
num_threads(NUM_THREAD) \
reduction(+ \
: msgInd[:1], PCounter \
[:numProcs], myCard \
[:1], NumMessagesBundled \
[:1], msgActual \
[:1])
{
while (!U.empty()) {
extractUChunk(UChunkBeingProcessed, U, privateU);
for (MilanLongInt u : UChunkBeingProcessed) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")u: " << u;
fflush(stdout);
#endif
if ((u >= StartIndex) && (u <= EndIndex)) { // Process Only the Local Vertices
#ifdef COUNT_LOCAL_VERTEX
localVertices++;
#endif
// Get the Adjacency list for u
adj1 = verLocPtr[u - StartIndex]; // Pointer
adj2 = verLocPtr[u - StartIndex + 1];
for (k = adj1; k < adj2; k++) {
option = -1;
v = verLocInd[k];
if ((v >= StartIndex) && (v <= EndIndex)) { // If Local Vertex:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")v: " << v << " c(v)= " << candidateMate[v - StartIndex] << " Mate[v]: " << Mate[v];
fflush(stdout);
#endif
#pragma omp atomic read
mateVal = Mate[v - StartIndex];
// If the current vertex is pointing to a matched vertex and is not matched
if (mateVal < 0) {
#pragma omp critical
{
if (candidateMate[v - StartIndex] == u) {
// Start: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
w = computeCandidateMate(verLocPtr[v - StartIndex],
verLocPtr[v - StartIndex + 1],
edgeLocWeight, 0,
verLocInd,
StartIndex,
EndIndex,
GMate,
Mate,
Ghost2LocalMap);
candidateMate[v - StartIndex] = w;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")" << v << " Points to: " << w;
fflush(stdout);
#endif
// If found a dominating edge:
if (w >= 0) {
if ((w < StartIndex) || (w > EndIndex)) { // A ghost
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a request message:";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs);
#endif
option = 2;
if (candidateMate[NLVer + Ghost2LocalMap[w]] == v) {
option = 1;
Mate[v - StartIndex] = w; // v is a local vertex
GMate[Ghost2LocalMap[w]] = v; // w is a ghost vertex
} // End of if CandidateMate[w] = v
} // End of if a Ghost Vertex
else { // w is a local vertex
if (candidateMate[w - StartIndex] == v) {
option = 3;
Mate[v - StartIndex] = w; // v is a local vertex
Mate[w - StartIndex] = v; // w is a local vertex
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") ";
fflush(stdout);
#endif
} // End of if(CandidateMate(w) = v
} // End of Else
} // End of if(w >=0)
else
option = 4; // End of Else: w == -1
// End: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
} // End of If (candidateMate[v-StartIndex] == u
} // End of task
} // mateval < 0
} // End of if ( (v >= StartIndex) && (v <= EndIndex) ) //If Local Vertex:
else { // Neighbor is a ghost vertex
#pragma omp critical
{
if (candidateMate[NLVer + Ghost2LocalMap[v]] == u)
candidateMate[NLVer + Ghost2LocalMap[v]] = -1;
if (v != Mate[u - StartIndex])
option = 5; // u is local
} // End of critical
} // End of Else //A Ghost Vertex
switch (option)
{
case -1:
// No things to do
break;
case 1:
// Found a dominating edge, it is a ghost and candidateMate[NLVer + Ghost2LocalMap[w]] == v
privateU.push_back(v);
privateU.push_back(w);
(*myCard)++;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") ";
fflush(stdout);
#endif
// Decrement the counter:
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[w]], SPtr);
case 2:
// Found a dominating edge, it is a ghost
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// Build the Message Packet:
// Message[0] = v; // LOCAL
// Message[1] = w; // GHOST
// Message[2] = REQUEST; // TYPE
// Send a Request (Asynchronous)
// MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
(*msgActual)++;
(*msgInd)++;
privateQLocalVtx.push_back(v);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(REQUEST);
privateQOwner.push_back(ghostOwner);
break;
case 3:
privateU.push_back(v);
privateU.push_back(w);
(*myCard)++;
break;
case 4:
// Could not find a dominating vertex
adj11 = verLocPtr[v - StartIndex];
adj12 = verLocPtr[v - StartIndex + 1];
for (k1 = adj11; k1 < adj12; k1++) {
w = verLocInd[k1];
if ((w < StartIndex) || (w > EndIndex)) { // A ghost
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a failure message: ";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs);
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
// Build the Message Packet:
// Message[0] = v; // LOCAL
// Message[1] = w; // GHOST
// Message[2] = FAILURE; // TYPE
// Send a Request (Asynchronous)
// MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
(*msgActual)++;
(*msgInd)++;
privateQLocalVtx.push_back(v);
privateQGhostVtx.push_back(w);
privateQMsgType.push_back(FAILURE);
privateQOwner.push_back(ghostOwner);
} // End of if(GHOST)
} // End of for loop
break;
case 5:
default:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a success message: ";
cout << "\n(" << myRank << ")Ghost is " << v << " Owner is: " << findOwnerOfGhost(v, verDistance, myRank, numProcs) << "\n";
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(v, verDistance, myRank, numProcs);
// Build the Message Packet:
// Message[0] = u; // LOCAL
// Message[1] = v; // GHOST
// Message[2] = SUCCESS; // TYPE
// Send a Request (Asynchronous)
// MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
(*msgActual)++;
(*msgInd)++;
privateQLocalVtx.push_back(u);
privateQGhostVtx.push_back(v);
privateQMsgType.push_back(SUCCESS);
privateQOwner.push_back(ghostOwner);
break;
} // End of switch
} // End of inner for
}
} // End of outer for
queuesTransfer(U, privateU, QLocalVtx,
QGhostVtx,
QMsgType, QOwner, privateQLocalVtx,
privateQGhostVtx,
privateQMsgType,
privateQOwner);
} // End of while ( !U.empty() )
#ifdef COUNT_LOCAL_VERTEX
printf("Count local vertexes: %ld for thread %d of processor %d\n",
localVertices,
omp_get_thread_num(),
myRank);
#endif
} // End of parallel region
// Send the messages
#ifdef DEBUG_HANG_
cout << myRank<<" Sending: "<<QOwner.size()-initialSize<<" messages" <<endl;
#endif
for (int i = initialSize; i < QOwner.size(); i++) {
Message[0] = QLocalVtx[i];
Message[1] = QGhostVtx[i];
Message[2] = QMsgType[i];
ghostOwner = QOwner[i];
//MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
//cout << myRank<<" Sending to "<<ghostOwner<<endl;
MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
}
#ifdef DEBUG_HANG_
cout << myRank<<" Done sending messages"<<endl;
#endif
}
+315
View File
@@ -0,0 +1,315 @@
#include "MatchBoxPC.h"
//#define DEBUG_HANG_
void processMessages(
MilanLongInt NLVer,
MilanLongInt *Mate,
MilanLongInt *candidateMate,
map<MilanLongInt, MilanLongInt> &Ghost2LocalMap,
vector<MilanLongInt> &GMate,
vector<MilanLongInt> &Counter,
MilanLongInt StartIndex,
MilanLongInt EndIndex,
MilanLongInt *myCard,
MilanLongInt *msgInd,
MilanLongInt *msgActual,
MilanReal *edgeLocWeight,
MilanLongInt *verDistance,
MilanLongInt *verLocPtr,
MilanLongInt k,
MilanLongInt *verLocInd,
MilanInt numProcs,
MilanInt myRank,
MPI_Comm comm,
vector<MilanLongInt> &Message,
MilanLongInt numGhostEdges,
MilanLongInt u,
MilanLongInt v,
MilanLongInt *S,
vector<MilanLongInt> &U)
{
//#define PRINT_DEBUG_INFO_
MilanInt Sender;
MPI_Status computeStatus;
MilanLongInt bundleSize, w;
MilanLongInt adj11, adj12, k1;
MilanLongInt ghostOwner;
int error_codeC;
error_codeC = MPI_Comm_set_errhandler(MPI_COMM_WORLD, MPI_ERRORS_RETURN);
char error_message[MPI_MAX_ERROR_STRING];
int message_length;
MilanLongInt message_type = 0;
// Buffer to receive bundled messages
// Maximum messages that can be received from any processor is
// twice the edge cut: REQUEST; REQUEST+(FAILURE/SUCCESS)
vector<MilanLongInt> ReceiveBuffer;
try
{
ReceiveBuffer.reserve(numGhostEdges * 2 * 3); // Three integers per cross edge
}
catch (length_error)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesMessageBundling: \n";
cout << "Not enough memory to allocate the internal variables \n";
exit(1);
}
#ifdef PRINT_DEBUG_INFO_
cout
<< "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")About to begin Message processing phase ... *S=" << *S << endl;
fflush(stdout);
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << "=========================************===============================" << endl;
fflush(stdout);
fflush(stdout);
#endif
// BLOCKING RECEIVE:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << " Waiting for blocking receive..." << endl;
fflush(stdout);
fflush(stdout);
#endif
//cout << myRank<<" Receiving ...";
error_codeC = MPI_Recv(&Message[0], 3, TypeMap<MilanLongInt>(), MPI_ANY_SOURCE, ComputeTag, comm, &computeStatus);
if (error_codeC != MPI_SUCCESS)
{
MPI_Error_string(error_codeC, error_message, &message_length);
cout << "\n*Error in call to MPI_Receive on Slave: " << error_message << "\n";
fflush(stdout);
}
Sender = computeStatus.MPI_SOURCE;
//cout << " ...from "<<Sender << endl;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Received message from Process " << Sender << " Type= " << Message[2] << endl;
fflush(stdout);
#endif
if (Message[2] == SIZEINFO) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Received bundled message from Process " << Sender << " Size= " << Message[0] << endl;
fflush(stdout);
#endif
bundleSize = Message[0]; //#of integers in the message
// Build the Message Buffer:
if (!ReceiveBuffer.empty())
ReceiveBuffer.clear(); // Empty it out first
ReceiveBuffer.resize(bundleSize, -1); // Initialize
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Message Bundle Before: " << endl;
for (int i = 0; i < bundleSize; i++)
cout << ReceiveBuffer[i] << ",";
cout << endl;
fflush(stdout);
#endif
// Receive the message
//cout << myRank<<" Receiving from "<<Sender<<endl;
error_codeC = MPI_Recv(&ReceiveBuffer[0], bundleSize, TypeMap<MilanLongInt>(), Sender, BundleTag, comm, &computeStatus);
if (error_codeC != MPI_SUCCESS) {
MPI_Error_string(error_codeC, error_message, &message_length);
cout << "\n*Error in call to MPI_Receive on processor " << myRank << " Error: " << error_message << "\n";
fflush(stdout);
}
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Message Bundle After: " << endl;
for (int i = 0; i < bundleSize; i++)
cout << ReceiveBuffer[i] << ",";
cout << endl;
fflush(stdout);
#endif
} else { // Just a single message:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Received regular message from Process " << Sender << " u= " << Message[0] << " v= " << Message[1] << endl;
fflush(stdout);
#endif
// Add the current message to Queue:
bundleSize = 3; //#of integers in the message
// Build the Message Buffer:
if (!ReceiveBuffer.empty())
ReceiveBuffer.clear(); // Empty it out first
ReceiveBuffer.resize(bundleSize, -1); // Initialize
ReceiveBuffer[0] = Message[0]; // u
ReceiveBuffer[1] = Message[1]; // v
ReceiveBuffer[2] = Message[2]; // message_type
}
#ifdef DEBUG_GHOST_
if ((v < StartIndex) || (v > EndIndex)) {
cout << "\n(" << myRank << ") From ReceiveBuffer: This should not happen: u= " << u << " v= " << v << " Type= " << message_type << " StartIndex " << StartIndex << " EndIndex " << EndIndex << endl;
fflush(stdout);
}
#endif
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Processing message: u= " << u << " v= " << v << " Type= " << message_type << endl;
fflush(stdout);
#endif
// Most of the time bundleSize == 3, thus, it's not worth parallelizing thi loop
for (MilanLongInt bundleCounter = 3; bundleCounter < bundleSize + 3; bundleCounter += 3) {
u = ReceiveBuffer[bundleCounter - 3]; // GHOST
v = ReceiveBuffer[bundleCounter - 2]; // LOCAL
message_type = ReceiveBuffer[bundleCounter - 1]; // TYPE
// CASE I: REQUEST
if (message_type == REQUEST) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Message type is REQUEST" << endl;
fflush(stdout);
#endif
#ifdef DEBUG_GHOST_
if ((v < 0) || (v < StartIndex) || ((v - StartIndex) > NLVer)) {
cout << "\n(" << myRank << ") case 1 Bad address " << v << " " << StartIndex << " " << v - StartIndex << " " << NLVer << endl;
fflush(stdout);
}
#endif
if (Mate[v - StartIndex] == -1) {
// Process only if not already matched (v is local)
candidateMate[NLVer + Ghost2LocalMap[u]] = v; // Set CandidateMate for the ghost
if (candidateMate[v - StartIndex] == u) {
GMate[Ghost2LocalMap[u]] = v; // u is ghost
Mate[v - StartIndex] = u; // v is local
U.push_back(v);
U.push_back(u);
(*myCard)++;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << u << ") " << endl;
fflush(stdout);
#endif
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[u]], S);
} // End of if ( candidateMate[v-StartIndex] == u )e
} // End of if ( Mate[v] == -1 )
} // End of REQUEST
else { // CASE II: SUCCESS
if (message_type == SUCCESS) {
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Message type is SUCCESS" << endl;
fflush(stdout);
#endif
GMate[Ghost2LocalMap[u]] = EndIndex + 1; // Set a Dummy Mate to make sure that we do not (u is a ghost) process it again
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[u]], S);
#ifdef DEBUG_GHOST_
if ((v < 0) || (v < StartIndex) || ((v - StartIndex) > NLVer)) {
cout << "\n(" << myRank << ") case 2 Bad address " << v << " " << StartIndex << " " << v - StartIndex << " " << NLVer << endl;
fflush(stdout);
}
#endif
if (Mate[v - StartIndex] == -1) {
// Process only if not already matched ( v is local)
if (candidateMate[v - StartIndex] == u) {
// Start: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
w = computeCandidateMate(verLocPtr[v - StartIndex], verLocPtr[v - StartIndex + 1], edgeLocWeight, k,
verLocInd, StartIndex, EndIndex, GMate, Mate, Ghost2LocalMap);
candidateMate[v - StartIndex] = w;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")" << v << " Points to: " << w << endl;
fflush(stdout);
#endif
// If found a dominating edge:
if (w >= 0) {
if ((w < StartIndex) || (w > EndIndex)) {
// w is a ghost
// Build the Message Packet:
Message[0] = v; // LOCAL
Message[1] = w; // GHOST
Message[2] = REQUEST; // TYPE
// Send a Request (Asynchronous)
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a request message: ";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs) << endl;
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
//assert(ghostOwner != -1);
//assert(ghostOwner != myRank);
//cout << myRank<<" Sending to "<<ghostOwner<<endl;
MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
(*msgInd)++;
(*msgActual)++;
if (candidateMate[NLVer + Ghost2LocalMap[w]] == v) {
Mate[v - StartIndex] = w; // v is local
GMate[Ghost2LocalMap[w]] = v; // w is ghost
U.push_back(v);
U.push_back(w);
(*myCard)++;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") " << endl;
fflush(stdout);
#endif
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[w]], S);
} // End of if CandidateMate[w] = v
} // End of if a Ghost Vertex
else { // w is a local vertex
if (candidateMate[w - StartIndex] == v) {
Mate[v - StartIndex] = w; // v is local
Mate[w - StartIndex] = v; // w is local
// Q.push_back(u);
U.push_back(v);
U.push_back(w);
(*myCard)++;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")MATCH: (" << v << "," << w << ") " << endl;
fflush(stdout);
#endif
} // End of if(CandidateMate(w) = v
} // End of Else
} // End of if(w >=0)
else { // No dominant edge found
adj11 = verLocPtr[v - StartIndex];
adj12 = verLocPtr[v - StartIndex + 1];
for (k1 = adj11; k1 < adj12; k1++) {
w = verLocInd[k1];
if ((w < StartIndex) || (w > EndIndex)) {
// A ghost
// Build the Message Packet:
Message[0] = v; // LOCAL
Message[1] = w; // GHOST
Message[2] = FAILURE; // TYPE
// Send a Request (Asynchronous)
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending a failure message: ";
cout << "\n(" << myRank << ")Ghost is " << w << " Owner is: " << findOwnerOfGhost(w, verDistance, myRank, numProcs) << endl;
fflush(stdout);
#endif
ghostOwner = findOwnerOfGhost(w, verDistance, myRank, numProcs);
//assert(ghostOwner != -1);
//assert(ghostOwner != myRank);
//cout << myRank<<" Sending to "<<ghostOwner<<endl;
MPI_Bsend(&Message[0], 3, TypeMap<MilanLongInt>(), ghostOwner, ComputeTag, comm);
(*msgInd)++;
(*msgActual)++;
} // End of if(GHOST)
} // End of for loop
} // End of Else: w == -1
// End: PARALLEL_PROCESS_EXPOSED_VERTEX_B(v)
} // End of if ( candidateMate[v-StartIndex] == u )
} // End of if ( Mate[v] == -1 )
} // End of if ( message_type == SUCCESS )
else {
// CASE III: FAILURE
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Message type is FAILURE" << endl;
fflush(stdout);
#endif
GMate[Ghost2LocalMap[u]] = EndIndex + 1; // Set a Dummy Mate to make sure that we do not (u is a ghost) process this anymore
PROCESS_CROSS_EDGE(&Counter[Ghost2LocalMap[u]], S); // Decrease the counter
} // End of else: CASE III
} // End of else: CASE I
}
return;
}
+36
View File
@@ -0,0 +1,36 @@
#include "MatchBoxPC.h"
void queuesTransfer(vector<MilanLongInt> &U,
vector<MilanLongInt> &privateU,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MilanLongInt> &privateQLocalVtx,
vector<MilanLongInt> &privateQGhostVtx,
vector<MilanLongInt> &privateQMsgType,
vector<MilanInt> &privateQOwner)
{
#pragma omp critical(U)
{
U.insert(U.end(), privateU.begin(), privateU.end());
}
privateU.clear();
#pragma omp critical(sendMessageTransfer)
{
QLocalVtx.insert(QLocalVtx.end(), privateQLocalVtx.begin(), privateQLocalVtx.end());
QGhostVtx.insert(QGhostVtx.end(), privateQGhostVtx.begin(), privateQGhostVtx.end());
QMsgType.insert(QMsgType.end(), privateQMsgType.begin(), privateQMsgType.end());
QOwner.insert(QOwner.end(), privateQOwner.begin(), privateQOwner.end());
}
privateQLocalVtx.clear();
privateQGhostVtx.clear();
privateQMsgType.clear();
privateQOwner.clear();
}
@@ -0,0 +1,209 @@
#include "MatchBoxPC.h"
void sendBundledMessages(MilanLongInt *numGhostEdges,
MilanInt *BufferSize,
MilanLongInt *Buffer,
vector<MilanLongInt> &PCumulative,
vector<MilanLongInt> &PMessageBundle,
vector<MilanLongInt> &PSizeInfoMessages,
MilanLongInt *PCounter,
MilanLongInt NumMessagesBundled,
MilanLongInt *msgActual,
MilanLongInt *msgInd,
MilanInt numProcs,
MilanInt myRank,
MPI_Comm comm,
vector<MilanLongInt> &QLocalVtx,
vector<MilanLongInt> &QGhostVtx,
vector<MilanLongInt> &QMsgType,
vector<MilanInt> &QOwner,
vector<MPI_Request> &SRequest,
vector<MPI_Status> &SStatus)
{
MilanLongInt myIndex = 0, numMessagesToSend;
MilanInt i = 0, OneMessageSize = 0;
#ifdef DEBUG_HANG_
if (myRank == 0)
cout << "\n(" << myRank << ") Send Bundles" << endl;
fflush(stdout);
#endif
#pragma omp parallel private(i) default(shared) num_threads(NUM_THREAD)
{
#pragma omp master
{
// Data structures for Bundled Messages:
#pragma omp task depend(inout \
: PCumulative, PMessageBundle, PSizeInfoMessages) depend(in \
: NumMessagesBundled, numProcs)
{
try {
PMessageBundle.reserve(NumMessagesBundled * 3); // Three integers per message
PCumulative.reserve(numProcs + 1); // Similar to Row Pointer vector in CSR data structure
PSizeInfoMessages.reserve(numProcs * 3); // Buffer to hold the Size info message packets
}
catch (length_error)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesMessageBundling: \n";
cout << "Not enough memory to allocate the internal variables \n";
exit(1);
}
PMessageBundle.resize(NumMessagesBundled * 3, -1); // Initialize
PCumulative.resize(numProcs + 1, 0); // Only initialize the counter variable
PSizeInfoMessages.resize(numProcs * 3, 0);
}
#pragma omp task depend(inout \
: PCumulative) depend(in \
: PCounter)
{
for (i = 0; i < numProcs; i++)
PCumulative[i + 1] = PCumulative[i] + PCounter[i];
}
#pragma omp task depend(inout \
: PCounter)
{
// Reuse PCounter to keep track of how many messages were inserted:
for (MilanInt i = 0; i < numProcs; i++) // Changed by Fabio to be an integer, addresses needs to be integers!
PCounter[i] = 0;
}
// Build the Message Bundle packet:
#pragma omp task depend(in \
: PCounter, QLocalVtx, QGhostVtx, QMsgType, QOwner, PMessageBundle, PCumulative) depend(out \
: myIndex, PMessageBundle, PCounter)
{
for (i = 0; i < NumMessagesBundled; i++) {
myIndex = (PCumulative[QOwner[i]] + PCounter[QOwner[i]]) * 3;
PMessageBundle[myIndex + 0] = QLocalVtx[i];
PMessageBundle[myIndex + 1] = QGhostVtx[i];
PMessageBundle[myIndex + 2] = QMsgType[i];
PCounter[QOwner[i]]++;
}
}
// Send the Bundled Messages: Use ISend
#pragma omp task depend(out \
: SRequest, SStatus)
{
try
{
SRequest.reserve(numProcs * 2); // At most two messages per processor
SStatus.reserve(numProcs * 2); // At most two messages per processor
}
catch (length_error)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesLinearSearchImmediateSend: \n";
cout << "Not enough memory to allocate the internal variables \n";
exit(1);
}
}
// Send the Messages
#pragma omp task depend(inout \
: SRequest, PSizeInfoMessages, PCumulative) depend(out \
: *msgActual, *msgInd)
{
for (i = 0; i < numProcs; i++) { // Changed by Fabio to be an integer, addresses needs to be integers!
if (i == myRank) // Do not send anything to yourself
continue;
// Send the Message with information about the size of next message:
// Build the Message Packet:
PSizeInfoMessages[i * 3 + 0] = (PCumulative[i + 1] - PCumulative[i]) * 3; // # of integers in the next message
PSizeInfoMessages[i * 3 + 1] = -1; // Dummy packet
PSizeInfoMessages[i * 3 + 2] = SIZEINFO; // TYPE
// Send a Request (Asynchronous)
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Sending bundled message to process " << i << " size: " << PSizeInfoMessages[i * 3 + 0] << endl;
fflush(stdout);
#endif
if (PSizeInfoMessages[i * 3 + 0] > 0)
{ // Send only if it is a nonempty packet
MPI_Isend(&PSizeInfoMessages[i * 3 + 0], 3, TypeMap<MilanLongInt>(), i, ComputeTag, comm,
&SRequest[(*msgInd)]);
(*msgActual)++;
(*msgInd)++;
// Now Send the message with the data packet:
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")SendiFFng Bundle to : " << i << endl;
for (k = (PCumulative[i] * 3); k < (PCumulative[i] * 3 + PSizeInfoMessages[i * 3 + 0]); k++)
cout << PMessageBundle[k] << ",";
cout << endl;
fflush(stdout);
#endif
MPI_Isend(&PMessageBundle[PCumulative[i] * 3], PSizeInfoMessages[i * 3 + 0],
TypeMap<MilanLongInt>(), i, BundleTag, comm, &SRequest[(*msgInd)]);
(*msgInd)++;
} // End of if size > 0
}
}
#pragma omp task depend(inout \
: PCumulative, QLocalVtx, QGhostVtx, QMsgType, QOwner)
{
// Free up temporary memory:
PCumulative.clear();
QLocalVtx.clear();
QGhostVtx.clear();
QMsgType.clear();
QOwner.clear();
}
#pragma omp task depend(inout : OneMessageSize, *BufferSize) depend(out : numMessagesToSend) depend(in : *numGhostEdges)
{
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Number of Ghost edges = " << *numGhostEdges;
cout << "\n(" << myRank << ")Total number of potential message X 2 = " << *numGhostEdges * 2;
cout << "\n(" << myRank << ")Number messages already sent in bundles = " << NumMessagesBundled;
if (*numGhostEdges > 0)
{
cout << "\n(" << myRank << ")Percentage of total = " << ((double)NumMessagesBundled / (double)(*numGhostEdges * 2)) * 100.0 << "% \n";
}
fflush(stdout);
#endif
// Allocate memory for MPI Send messages:
/* WILL COME BACK HERE - NO NEED TO STORE ALL THIS MEMORY !! */
OneMessageSize = 0;
MPI_Pack_size(3, TypeMap<MilanLongInt>(), comm, &OneMessageSize); // Size of one message packet
// How many messages to send?
// Potentially three kinds of messages will be sent/received:
// Request, Success, Failure.
// But only two will be sent from a given processor.
// Substract the number of messages that have already been sent as bundled messages:
numMessagesToSend = (*numGhostEdges) * 2 - NumMessagesBundled;
*BufferSize = (OneMessageSize + MPI_BSEND_OVERHEAD) * numMessagesToSend;
}
#pragma omp task depend(out : Buffer) depend(in : *BufferSize)
{
Buffer = 0;
#ifdef PRINT_DEBUG_INFO_
cout << "\n(" << myRank << ")Size of One Message from PACK= " << OneMessageSize;
cout << "\n(" << myRank << ")Size of Message overhead = " << MPI_BSEND_OVERHEAD;
cout << "\n(" << myRank << ")Number of Ghost edges = " << *numGhostEdges;
cout << "\n(" << myRank << ")Number of remaining message = " << numMessagesToSend;
cout << "\n(" << myRank << ")BufferSize = " << (*BufferSize);
cout << "\n(" << myRank << ")Attaching Buffer on.. ";
fflush(stdout);
#endif
if ((*BufferSize) > 0)
{
Buffer = (MilanLongInt *)malloc((*BufferSize)); // Allocate memory
if (Buffer == 0)
{
cout << "Error in function algoDistEdgeApproxDominatingEdgesLinearSearch: \n";
cout << "Not enough memory to allocate for send buffer on process " << myRank << "\n";
exit(1);
}
MPI_Buffer_attach(Buffer, *BufferSize); // Attach the Buffer
}
}
}
}
}
@@ -109,6 +109,8 @@ subroutine amg_c_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
type(psb_cspmat_type) :: ac, op_restr, op_prol
integer(psb_ipk_) :: nzl, inl
integer(psb_ipk_) :: debug_level, debug_unit
integer(psb_ipk_), save :: idx_matbld=-1, idx_matasb=-1, idx_mapbld=-1
logical, parameter :: do_timings=.false.
name='amg_c_onelev_mat_asb'
call psb_erractionsave(err_act)
@@ -120,6 +122,12 @@ subroutine amg_c_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_matbld==-1)) &
& idx_matbld = psb_get_timer_idx("LEV_MASB: mat_bld")
if ((do_timings).and.(idx_matasb==-1)) &
& idx_matasb = psb_get_timer_idx("LEV_MASB: mat_asb")
if ((do_timings).and.(idx_mapbld==-1)) &
& idx_mapbld = psb_get_timer_idx("LEV_MASB: map_bld")
call amg_check_def(lv%parms%aggr_prol,'Smoother',&
& amg_smooth_prol_,is_legal_ml_aggr_prol)
@@ -139,9 +147,10 @@ subroutine amg_c_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! the mapping defined by amg_aggrmap_bld and applying the aggregation
! algorithm specified by lv%iprcparm(amg_aggr_prol_)
!
if (do_timings) call psb_tic(idx_matbld)
call lv%aggr%mat_bld(lv%parms,a,desc_a,ilaggr,nlaggr,&
& lv%ac,lv%desc_ac,op_prol,op_restr,t_prol,info)
if (do_timings) call psb_toc(idx_matbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_aggrmat_asb')
goto 9999
@@ -151,14 +160,17 @@ subroutine amg_c_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! Now build its descriptor and convert global indices for
! ac, op_restr and op_prol
!
if (do_timings) call psb_tic(idx_matasb)
if (info == psb_success_) &
& call lv%aggr%mat_asb(lv%parms,a,desc_a,&
& lv%ac,lv%desc_ac,op_prol,op_restr,info)
if (do_timings) call psb_toc(idx_matasb)
if (do_timings) call psb_tic(idx_mapbld)
if (info == psb_success_) call lv%ac%cscnv(info,type='csr',dupl=psb_dupl_add_)
if (info == psb_success_) call lv%aggr%bld_map(desc_a, lv%desc_ac,&
& ilaggr,nlaggr,op_restr,op_prol,lv%linmap,info)
if (do_timings) call psb_toc(idx_mapbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='mat_asb/map_bld')
goto 9999
@@ -43,6 +43,7 @@ subroutine amg_d_base_onelev_csetc(lv,what,val,info,pos,idx)
use amg_d_dec_aggregator_mod
use amg_d_symdec_aggregator_mod
use amg_d_parmatch_aggregator_mod
use amg_d_newmatch_aggregator_mod
use amg_d_jac_smoother
use amg_d_as_smoother
use amg_d_diag_solver
@@ -252,8 +253,6 @@ subroutine amg_d_base_onelev_csetc(lv,what,val,info,pos,idx)
lv%parms%ml_cycle = amg_stringval(val)
case ('PAR_AGGR_ALG')
ival = amg_stringval(val)
lv%parms%par_aggr_alg = ival
if (allocated(lv%aggr)) then
call lv%aggr%free(info)
if (info == 0) deallocate(lv%aggr,stat=info)
@@ -263,6 +262,9 @@ subroutine amg_d_base_onelev_csetc(lv,what,val,info,pos,idx)
end if
end if
ival = amg_stringval(val)
lv%parms%par_aggr_alg = ival
select case(val)
case('DEC')
allocate(amg_d_dec_aggregator_type :: lv%aggr, stat=info)
@@ -270,9 +272,12 @@ subroutine amg_d_base_onelev_csetc(lv,what,val,info,pos,idx)
allocate(amg_d_symdec_aggregator_type :: lv%aggr, stat=info)
case('COUP','COUPLED')
allocate(amg_d_parmatch_aggregator_type :: lv%aggr, stat=info)
case('NEWMTC')
allocate(amg_d_newmatch_aggregator_type :: lv%aggr, stat=info)
case default
info = psb_err_internal_error_
end select
if (info == psb_success_) call lv%aggr%default()
case ('AGGR_ORD')
@@ -109,6 +109,8 @@ subroutine amg_d_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
type(psb_dspmat_type) :: ac, op_restr, op_prol
integer(psb_ipk_) :: nzl, inl
integer(psb_ipk_) :: debug_level, debug_unit
integer(psb_ipk_), save :: idx_matbld=-1, idx_matasb=-1, idx_mapbld=-1
logical, parameter :: do_timings=.false.
name='amg_d_onelev_mat_asb'
call psb_erractionsave(err_act)
@@ -120,6 +122,12 @@ subroutine amg_d_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_matbld==-1)) &
& idx_matbld = psb_get_timer_idx("LEV_MASB: mat_bld")
if ((do_timings).and.(idx_matasb==-1)) &
& idx_matasb = psb_get_timer_idx("LEV_MASB: mat_asb")
if ((do_timings).and.(idx_mapbld==-1)) &
& idx_mapbld = psb_get_timer_idx("LEV_MASB: map_bld")
call amg_check_def(lv%parms%aggr_prol,'Smoother',&
& amg_smooth_prol_,is_legal_ml_aggr_prol)
@@ -139,9 +147,10 @@ subroutine amg_d_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! the mapping defined by amg_aggrmap_bld and applying the aggregation
! algorithm specified by lv%iprcparm(amg_aggr_prol_)
!
if (do_timings) call psb_tic(idx_matbld)
call lv%aggr%mat_bld(lv%parms,a,desc_a,ilaggr,nlaggr,&
& lv%ac,lv%desc_ac,op_prol,op_restr,t_prol,info)
if (do_timings) call psb_toc(idx_matbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_aggrmat_asb')
goto 9999
@@ -151,14 +160,17 @@ subroutine amg_d_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! Now build its descriptor and convert global indices for
! ac, op_restr and op_prol
!
if (do_timings) call psb_tic(idx_matasb)
if (info == psb_success_) &
& call lv%aggr%mat_asb(lv%parms,a,desc_a,&
& lv%ac,lv%desc_ac,op_prol,op_restr,info)
if (do_timings) call psb_toc(idx_matasb)
if (do_timings) call psb_tic(idx_mapbld)
if (info == psb_success_) call lv%ac%cscnv(info,type='csr',dupl=psb_dupl_add_)
if (info == psb_success_) call lv%aggr%bld_map(desc_a, lv%desc_ac,&
& ilaggr,nlaggr,op_restr,op_prol,lv%linmap,info)
if (do_timings) call psb_toc(idx_mapbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='mat_asb/map_bld')
goto 9999
@@ -109,6 +109,8 @@ subroutine amg_s_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
type(psb_sspmat_type) :: ac, op_restr, op_prol
integer(psb_ipk_) :: nzl, inl
integer(psb_ipk_) :: debug_level, debug_unit
integer(psb_ipk_), save :: idx_matbld=-1, idx_matasb=-1, idx_mapbld=-1
logical, parameter :: do_timings=.false.
name='amg_s_onelev_mat_asb'
call psb_erractionsave(err_act)
@@ -120,6 +122,12 @@ subroutine amg_s_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_matbld==-1)) &
& idx_matbld = psb_get_timer_idx("LEV_MASB: mat_bld")
if ((do_timings).and.(idx_matasb==-1)) &
& idx_matasb = psb_get_timer_idx("LEV_MASB: mat_asb")
if ((do_timings).and.(idx_mapbld==-1)) &
& idx_mapbld = psb_get_timer_idx("LEV_MASB: map_bld")
call amg_check_def(lv%parms%aggr_prol,'Smoother',&
& amg_smooth_prol_,is_legal_ml_aggr_prol)
@@ -139,9 +147,10 @@ subroutine amg_s_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! the mapping defined by amg_aggrmap_bld and applying the aggregation
! algorithm specified by lv%iprcparm(amg_aggr_prol_)
!
if (do_timings) call psb_tic(idx_matbld)
call lv%aggr%mat_bld(lv%parms,a,desc_a,ilaggr,nlaggr,&
& lv%ac,lv%desc_ac,op_prol,op_restr,t_prol,info)
if (do_timings) call psb_toc(idx_matbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_aggrmat_asb')
goto 9999
@@ -151,14 +160,17 @@ subroutine amg_s_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! Now build its descriptor and convert global indices for
! ac, op_restr and op_prol
!
if (do_timings) call psb_tic(idx_matasb)
if (info == psb_success_) &
& call lv%aggr%mat_asb(lv%parms,a,desc_a,&
& lv%ac,lv%desc_ac,op_prol,op_restr,info)
if (do_timings) call psb_toc(idx_matasb)
if (do_timings) call psb_tic(idx_mapbld)
if (info == psb_success_) call lv%ac%cscnv(info,type='csr',dupl=psb_dupl_add_)
if (info == psb_success_) call lv%aggr%bld_map(desc_a, lv%desc_ac,&
& ilaggr,nlaggr,op_restr,op_prol,lv%linmap,info)
if (do_timings) call psb_toc(idx_mapbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='mat_asb/map_bld')
goto 9999
@@ -109,6 +109,8 @@ subroutine amg_z_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
type(psb_zspmat_type) :: ac, op_restr, op_prol
integer(psb_ipk_) :: nzl, inl
integer(psb_ipk_) :: debug_level, debug_unit
integer(psb_ipk_), save :: idx_matbld=-1, idx_matasb=-1, idx_mapbld=-1
logical, parameter :: do_timings=.false.
name='amg_z_onelev_mat_asb'
call psb_erractionsave(err_act)
@@ -120,6 +122,12 @@ subroutine amg_z_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
info = psb_success_
ctxt = desc_a%get_context()
call psb_info(ctxt,me,np)
if ((do_timings).and.(idx_matbld==-1)) &
& idx_matbld = psb_get_timer_idx("LEV_MASB: mat_bld")
if ((do_timings).and.(idx_matasb==-1)) &
& idx_matasb = psb_get_timer_idx("LEV_MASB: mat_asb")
if ((do_timings).and.(idx_mapbld==-1)) &
& idx_mapbld = psb_get_timer_idx("LEV_MASB: map_bld")
call amg_check_def(lv%parms%aggr_prol,'Smoother',&
& amg_smooth_prol_,is_legal_ml_aggr_prol)
@@ -139,9 +147,10 @@ subroutine amg_z_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! the mapping defined by amg_aggrmap_bld and applying the aggregation
! algorithm specified by lv%iprcparm(amg_aggr_prol_)
!
if (do_timings) call psb_tic(idx_matbld)
call lv%aggr%mat_bld(lv%parms,a,desc_a,ilaggr,nlaggr,&
& lv%ac,lv%desc_ac,op_prol,op_restr,t_prol,info)
if (do_timings) call psb_toc(idx_matbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_aggrmat_asb')
goto 9999
@@ -151,14 +160,17 @@ subroutine amg_z_base_onelev_mat_asb(lv,a,desc_a,ilaggr,nlaggr,t_prol,info)
! Now build its descriptor and convert global indices for
! ac, op_restr and op_prol
!
if (do_timings) call psb_tic(idx_matasb)
if (info == psb_success_) &
& call lv%aggr%mat_asb(lv%parms,a,desc_a,&
& lv%ac,lv%desc_ac,op_prol,op_restr,info)
if (do_timings) call psb_toc(idx_matasb)
if (do_timings) call psb_tic(idx_mapbld)
if (info == psb_success_) call lv%ac%cscnv(info,type='csr',dupl=psb_dupl_add_)
if (info == psb_success_) call lv%aggr%bld_map(desc_a, lv%desc_ac,&
& ilaggr,nlaggr,op_restr,op_prol,lv%linmap,info)
if (do_timings) call psb_toc(idx_mapbld)
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='mat_asb/map_bld')
goto 9999
Executable
+25
View File
@@ -0,0 +1,25 @@
cd amgprec/impl/aggregator/
rm MatchBoxPC.o
rm sendBundledMessages.o
rm initialize.o
rm extractUChunk.o
rm isAlreadyMatched.o
rm findOwnerOfGhost.o
rm computeCandidateMate.o
rm parallelComputeCandidateMateB.o
rm processMatchedVertices.o
rm processCrossEdge.o
rm queueTransfer.o
rm processMessages.o
rm processExposedVertex.o
rm algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateC.o
rm algoDistEdgeApproxDomEdgesLinearSearchMesgBndlSmallMateCMP.o
cd ../../../
make all
cd samples/advanced/pdegen
make amg_d_pde3d
cd runs
mpirun -np 4 amg_d_pde3d amg_pde3d.inp
+5 -4
View File
@@ -3,24 +3,25 @@ AMGINCDIR=$(AMGDIR)/include
include $(AMGINCDIR)/Make.inc.amg4psblas
AMGMODDIR=$(AMGDIR)/modules
AMGLIBDIR=$(AMGDIR)/lib
AMG_LIBS=-L$(AMGLIBDIR) -lpsb_krylov -lamg_prec -lpsb_prec
AMG_LIBS=-L$(AMGLIBDIR) -lpsb_krylov -lamg_prec -lpsb_prec
FINCLUDES=$(FMFLAG). $(FMFLAG)$(AMGMODDIR) $(FMFLAG)$(AMGINCDIR) $(PSBLAS_INCLUDES) $(FIFLAG).
LINKOPT=
XTRALINK=-lstdc++ -lroma -fopenmp
EXEDIR=./runs
all: amg_s_pde3d amg_d_pde3d amg_s_pde2d amg_d_pde2d
amg_d_pde3d: amg_d_pde3d.o amg_d_genpde_mod.o amg_d_pde3d_base_mod.o amg_d_pde3d_exp_mod.o amg_d_pde3d_gauss_mod.o data_input.o
$(FLINK) $(LINKOPT) amg_d_pde3d.o amg_d_genpde_mod.o amg_d_pde3d_base_mod.o amg_d_pde3d_exp_mod.o amg_d_pde3d_gauss_mod.o data_input.o -o amg_d_pde3d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
/bin/mv amg_d_pde3d $(EXEDIR)
$(FLINK) $(LINKOPT) amg_d_pde3d.o amg_d_genpde_mod.o amg_d_pde3d_base_mod.o amg_d_pde3d_exp_mod.o amg_d_pde3d_gauss_mod.o data_input.o -o amg_d_pde3d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS) $(XTRALINK)
/bin/mv amg_d_pde3d $(EXEDIR)
amg_s_pde3d: amg_s_pde3d.o amg_s_genpde_mod.o amg_s_pde3d_base_mod.o amg_s_pde3d_exp_mod.o amg_s_pde3d_gauss_mod.o data_input.o
$(FLINK) $(LINKOPT) amg_s_pde3d.o amg_s_genpde_mod.o amg_s_pde3d_base_mod.o amg_s_pde3d_exp_mod.o amg_s_pde3d_gauss_mod.o data_input.o -o amg_s_pde3d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
/bin/mv amg_s_pde3d $(EXEDIR)
amg_d_pde2d: amg_d_pde2d.o amg_d_genpde_mod.o amg_d_pde2d_base_mod.o amg_d_pde2d_exp_mod.o amg_d_pde2d_box_mod.o data_input.o
$(FLINK) $(LINKOPT) amg_d_pde2d.o amg_d_genpde_mod.o amg_d_pde2d_base_mod.o amg_d_pde2d_exp_mod.o amg_d_pde2d_box_mod.o data_input.o -o amg_d_pde2d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
$(FLINK) $(LINKOPT) amg_d_pde2d.o amg_d_genpde_mod.o amg_d_pde2d_base_mod.o amg_d_pde2d_exp_mod.o amg_d_pde2d_box_mod.o data_input.o -o amg_d_pde2d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS) $(XTRALINK)
/bin/mv amg_d_pde2d $(EXEDIR)
amg_s_pde2d: amg_s_pde2d.o amg_s_genpde_mod.o amg_s_pde2d_base_mod.o amg_s_pde2d_exp_mod.o amg_s_pde2d_box_mod.o data_input.o
+223 -199
View File
@@ -93,6 +93,9 @@ contains
& a1,a2,a3,b1,b2,b3,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
#if defined(OPENMP)
use omp_lib
#endif
!
! Discretizes the partial differential equation
!
@@ -128,7 +131,6 @@ contains
type(psb_d_csc_sparse_mat) :: acsc
type(psb_d_coo_sparse_mat) :: acoo
type(psb_d_csr_sparse_mat) :: acsr
real(psb_dpk_) :: zt(nb),x,y,z,xph,xmh,yph,ymh,zph,zmh
integer(psb_ipk_) :: nnz,nr,nlr,i,j,ii,ib,k, partition_
integer(psb_lpk_) :: m,n,glob_row,nt
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
@@ -141,8 +143,7 @@ contains
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_dpk_), allocatable :: val(:)
integer(psb_lpk_), allocatable :: myidx(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_dpk_) :: deltah, sqdeltah, deltah2
@@ -368,119 +369,128 @@ contains
call psb_barrier(ctxt)
talc = psb_wtime()-t0
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='allocation rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ctxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,iz,glob_row,idim,idim,idim)
! x, y, z coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
z = (iz-1)*deltah
zt(k) = f_(x,y,z)
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
val(icoeff) = -a1(x,y,z)/sqdeltah-b1(x,y,z)/deltah2
if (ix == 1) then
zt(k) = g(dzero,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1,z)
val(icoeff) = -a2(x,y,z)/sqdeltah-b2(x,y,z)/deltah2
if (iy == 1) then
zt(k) = g(x,dzero,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z-1)
val(icoeff)=-a3(x,y,z)/sqdeltah-b3(x,y,z)/deltah2
if (iz == 1) then
zt(k) = g(x,y,dzero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz-1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
!$omp parallel shared(deltah,myidx,a,desc_a)
!
block
integer(psb_ipk_) :: i,j,k,ii,ib,icoeff, ix,iy,iz, ith,nth
integer(psb_lpk_) :: glob_row
integer(psb_lpk_), allocatable :: irow(:),icol(:)
real(psb_dpk_), allocatable :: val(:)
real(psb_dpk_) :: x,y,z, zt(nb)
#if defined(OPENMP)
nth = omp_get_num_threads()
ith = omp_get_thread_num()
#else
nth = 1
ith = 0
#endif
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
!goto 9999
endif
! term depending on (x,y,z)
val(icoeff)=(2*done)*(a1(x,y,z)+a2(x,y,z)+a3(x,y,z))/sqdeltah &
& + c(x,y,z)
call ijk2idx(icol(icoeff),ix,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y,z+1)
val(icoeff)=-a3(x,y,z)/sqdeltah+b3(x,y,z)/deltah2
if (iz == idim) then
zt(k) = g(x,y,done)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz+1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y+1,z)
val(icoeff)=-a2(x,y,z)/sqdeltah+b2(x,y,z)/deltah2
if (iy == idim) then
zt(k) = g(x,done,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y,z)
val(icoeff)=-a1(x,y,z)/sqdeltah+b1(x,y,z)/deltah2
if (ix==idim) then
zt(k) = g(done,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
!$omp do schedule(dynamic)
!
do ii=1, nlr, nb
if (info /= psb_success_) cycle
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,iz,glob_row,idim,idim,idim)
! x, y, z coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
z = (iz-1)*deltah
zt(k) = f_(x,y,z)
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
val(icoeff) = -a1(x,y,z)/sqdeltah-b1(x,y,z)/deltah2
if (ix == 1) then
zt(k) = g(dzero,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1,z)
val(icoeff) = -a2(x,y,z)/sqdeltah-b2(x,y,z)/deltah2
if (iy == 1) then
zt(k) = g(x,dzero,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z-1)
val(icoeff)=-a3(x,y,z)/sqdeltah-b3(x,y,z)/deltah2
if (iz == 1) then
zt(k) = g(x,y,dzero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz-1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z)
val(icoeff)=(2*done)*(a1(x,y,z)+a2(x,y,z)+a3(x,y,z))/sqdeltah &
& + c(x,y,z)
call ijk2idx(icol(icoeff),ix,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y,z+1)
val(icoeff)=-a3(x,y,z)/sqdeltah+b3(x,y,z)/deltah2
if (iz == idim) then
zt(k) = g(x,y,done)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz+1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y+1,z)
val(icoeff)=-a2(x,y,z)/sqdeltah+b2(x,y,z)/deltah2
if (iy == idim) then
zt(k) = g(x,done,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y,z)
val(icoeff)=-a1(x,y,z)/sqdeltah+b1(x,y,z)/deltah2
if (ix==idim) then
zt(k) = g(done,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
end do
!write(0,*) ' Outer in_parallel ',omp_in_parallel()
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) cycle
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) cycle
zt(:)=dzero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) cycle
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) exit
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) exit
zt(:)=dzero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) exit
end do
!$omp end do
deallocate(val,irow,icol)
end block
!$omp end parallel
tgen = psb_wtime()-t1
if(info /= psb_success_) then
@@ -490,7 +500,6 @@ contains
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
@@ -557,6 +566,9 @@ contains
& a1,a2,b1,b2,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
#if defined(OPENMP)
use omp_lib
#endif
!
! Discretizes the partial differential equation
!
@@ -591,7 +603,6 @@ contains
type(psb_d_csc_sparse_mat) :: acsc
type(psb_d_coo_sparse_mat) :: acoo
type(psb_d_csr_sparse_mat) :: acsr
real(psb_dpk_) :: zt(nb),x,y,z,xph,xmh,yph,ymh,zph,zmh
integer(psb_ipk_) :: nnz,nr,nlr,i,j,ii,ib,k, partition_
integer(psb_lpk_) :: m,n,glob_row,nt
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
@@ -604,8 +615,7 @@ contains
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_dpk_), allocatable :: val(:)
integer(psb_lpk_), allocatable :: myidx(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_dpk_) :: deltah, sqdeltah, deltah2, dd
@@ -791,7 +801,7 @@ contains
!write(0,*) iam,' Check on neighbours: ',desc_a%get_p_adjcncy()
end if
end block
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
@@ -816,93 +826,109 @@ contains
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ctxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,glob_row,idim,idim)
! x, y coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
!$omp parallel shared(deltah,myidx,a,desc_a)
!
block
integer(psb_ipk_) :: i,j,k,ii,ib,icoeff, ix,iy,iz, ith,nth
integer(psb_lpk_) :: glob_row
integer(psb_lpk_), allocatable :: irow(:),icol(:)
real(psb_dpk_), allocatable :: val(:)
real(psb_dpk_) :: x,y,z, zt(nb)
#if defined(OPENMP)
nth = omp_get_num_threads()
ith = omp_get_thread_num()
#else
nth = 1
ith = 0
#endif
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
!goto 9999
endif
zt(k) = f_(x,y)
! internal point: build discretization
!
! term depending on (x-1,y)
!
val(icoeff) = -a1(x,y)/sqdeltah-b1(x,y)/deltah2
if (ix == 1) then
zt(k) = g(dzero,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1)
val(icoeff) = -a2(x,y)/sqdeltah-b2(x,y)/deltah2
if (iy == 1) then
zt(k) = g(x,dzero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! loop over rows belonging to current process in a block
! distribution.
!$omp do schedule(dynamic)
!
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,glob_row,idim,idim)
! x, y coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
! term depending on (x,y)
val(icoeff)=(2*done)*(a1(x,y) + a2(x,y))/sqdeltah + c(x,y)
call ijk2idx(icol(icoeff),ix,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y+1)
val(icoeff)=-a2(x,y)/sqdeltah+b2(x,y)/deltah2
if (iy == idim) then
zt(k) = g(x,done)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y)
val(icoeff)=-a1(x,y)/sqdeltah+b1(x,y)/deltah2
if (ix==idim) then
zt(k) = g(done,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
zt(k) = f_(x,y)
! internal point: build discretization
!
! term depending on (x-1,y)
!
val(icoeff) = -a1(x,y)/sqdeltah-b1(x,y)/deltah2
if (ix == 1) then
zt(k) = g(dzero,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1)
val(icoeff) = -a2(x,y)/sqdeltah-b2(x,y)/deltah2
if (iy == 1) then
zt(k) = g(x,dzero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y)
val(icoeff)=(2*done)*(a1(x,y) + a2(x,y))/sqdeltah + c(x,y)
call ijk2idx(icol(icoeff),ix,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y+1)
val(icoeff)=-a2(x,y)/sqdeltah+b2(x,y)/deltah2
if (iy == idim) then
zt(k) = g(x,done)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y)
val(icoeff)=-a1(x,y)/sqdeltah+b1(x,y)/deltah2
if (ix==idim) then
zt(k) = g(done,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) cycle
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) cycle
zt(:)=dzero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) cycle
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) exit
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) exit
zt(:)=dzero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) exit
end do
!$omp end do
deallocate(val,irow,icol)
end block
!$omp end parallel
tgen = psb_wtime()-t1
if(info /= psb_success_) then
@@ -912,8 +938,6 @@ contains
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info)
@@ -74,6 +74,9 @@ program amg_d_pde3d
use amg_d_pde3d_exp_mod
use amg_d_pde3d_gauss_mod
use amg_d_genpde_mod
#if defined(OPENMP)
use omp_lib
#endif
implicit none
! input parameters
@@ -94,7 +97,7 @@ program amg_d_pde3d
type(psb_d_vect_type) :: x,b,r
! parallel environment
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: iam, np
integer(psb_ipk_) :: iam, np, nth
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst, nlv
@@ -133,6 +136,9 @@ program amg_d_pde3d
character(len=16) :: aggr_ord ! ordering for aggregation: NATURAL, DEGREE
character(len=16) :: aggr_filter ! filtering: FILTER, NO_FILTER
real(psb_dpk_) :: mncrratio ! minimum aggregation ratio
integer(psb_ipk_) :: matching_alg ! For NEW matching 1 2 3 variant
real(psb_dpk_) :: lambda ! matching LAMBDA
real(psb_dpk_), allocatable :: athresv(:) ! smoothed aggregation threshold vector
integer(psb_ipk_) :: thrvsz ! size of threshold vector
real(psb_dpk_) :: athres ! smoothed aggregation threshold
@@ -198,6 +204,15 @@ program amg_d_pde3d
call psb_init(ctxt)
call psb_info(ctxt,iam,np)
#if defined(OPENMP)
!$OMP parallel shared(nth)
!$OMP master
nth = omp_get_num_threads()
!$OMP end master
!$OMP end parallel
#else
nth = 1
#endif
if (iam < 0) then
! This should not happen, but just in case
@@ -309,6 +324,11 @@ program amg_d_pde3d
call prec%set('par_aggr_alg', p_choice%par_aggr_alg, info)
call prec%set('aggr_type', p_choice%aggr_type, info)
call prec%set('aggr_size', p_choice%aggr_size, info)
write(0,*) 'match variant ',p_choice%matching_alg
if (p_choice%matching_alg>0)&
& call prec%set('nwm_matching_alg', p_choice%matching_alg, info)
if (p_choice%lambda>0)&
& call prec%set('nwm_lambda', p_choice%lambda, info)
call prec%set('aggr_ord', p_choice%aggr_ord, info)
call prec%set('aggr_filter', p_choice%aggr_filter,info)
@@ -456,6 +476,8 @@ program amg_d_pde3d
call prec%descr(info,iout=psb_out_unit)
if (iam == psb_root_) then
write(psb_out_unit,'("Computed solution on ",i8," processors")') np
write(psb_out_unit,'("Number of threads : ",i12)') nth
write(psb_out_unit,'("Total number of tasks : ",i12)') nth*np
write(psb_out_unit,'("Linear system size : ",i12)') system_size
write(psb_out_unit,'("PDE Coefficients : ",a)') trim(pdecoeff)
write(psb_out_unit,'("Krylov method : ",a)') trim(s_choice%kmethd)
@@ -585,9 +607,10 @@ contains
call read_data(prec%aggr_type,inp_unit) ! type of aggregation
call read_data(prec%aggr_size,inp_unit) ! Requested size of the aggregates for MATCHBOXP
call read_data(prec%aggr_ord,inp_unit) ! ordering for aggregation
call read_data(prec%mncrratio,inp_unit) ! minimum aggregation ratio
call read_data(prec%aggr_filter,inp_unit) ! filtering
call read_data(prec%athres,inp_unit) ! smoothed aggr thresh
call read_data(prec%mncrratio,inp_unit) ! minimum aggregation ratio
call read_data(prec%matching_alg,inp_unit) ! matching variant
call read_data(prec%lambda,inp_unit) ! lambda
call read_data(prec%thrvsz,inp_unit) ! size of aggr thresh vector
if (prec%thrvsz > 0) then
call psb_realloc(prec%thrvsz,prec%athresv,info)
@@ -595,6 +618,7 @@ contains
else
read(inp_unit,*) ! dummy read to skip a record
end if
call read_data(prec%athres,inp_unit) ! smoothed aggr thresh
! coasest-level solver
call read_data(prec%csolve,inp_unit) ! coarsest-lev solver
call read_data(prec%csbsolve,inp_unit) ! coarsest-lev subsolver
@@ -668,6 +692,10 @@ contains
call psb_bcast(ctxt,prec%aggr_ord)
call psb_bcast(ctxt,prec%aggr_filter)
call psb_bcast(ctxt,prec%mncrratio)
call psb_bcast(ctxt,prec%matching_alg)
call psb_bcast(ctxt,prec%lambda)
call psb_bcast(ctxt,prec%thrvsz)
if (prec%thrvsz > 0) then
if (iam /= psb_root_) call psb_realloc(prec%thrvsz,prec%athresv,info)
+223 -199
View File
@@ -93,6 +93,9 @@ contains
& a1,a2,a3,b1,b2,b3,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
#if defined(OPENMP)
use omp_lib
#endif
!
! Discretizes the partial differential equation
!
@@ -128,7 +131,6 @@ contains
type(psb_s_csc_sparse_mat) :: acsc
type(psb_s_coo_sparse_mat) :: acoo
type(psb_s_csr_sparse_mat) :: acsr
real(psb_spk_) :: zt(nb),x,y,z,xph,xmh,yph,ymh,zph,zmh
integer(psb_ipk_) :: nnz,nr,nlr,i,j,ii,ib,k, partition_
integer(psb_lpk_) :: m,n,glob_row,nt
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
@@ -141,8 +143,7 @@ contains
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_spk_), allocatable :: val(:)
integer(psb_lpk_), allocatable :: myidx(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_spk_) :: deltah, sqdeltah, deltah2
@@ -368,119 +369,128 @@ contains
call psb_barrier(ctxt)
talc = psb_wtime()-t0
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='allocation rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ctxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,iz,glob_row,idim,idim,idim)
! x, y, z coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
z = (iz-1)*deltah
zt(k) = f_(x,y,z)
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
val(icoeff) = -a1(x,y,z)/sqdeltah-b1(x,y,z)/deltah2
if (ix == 1) then
zt(k) = g(szero,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1,z)
val(icoeff) = -a2(x,y,z)/sqdeltah-b2(x,y,z)/deltah2
if (iy == 1) then
zt(k) = g(x,szero,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z-1)
val(icoeff)=-a3(x,y,z)/sqdeltah-b3(x,y,z)/deltah2
if (iz == 1) then
zt(k) = g(x,y,szero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz-1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
!$omp parallel shared(deltah,myidx,a,desc_a)
!
block
integer(psb_ipk_) :: i,j,k,ii,ib,icoeff, ix,iy,iz, ith,nth
integer(psb_lpk_) :: glob_row
integer(psb_lpk_), allocatable :: irow(:),icol(:)
real(psb_spk_), allocatable :: val(:)
real(psb_spk_) :: x,y,z, zt(nb)
#if defined(OPENMP)
nth = omp_get_num_threads()
ith = omp_get_thread_num()
#else
nth = 1
ith = 0
#endif
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
!goto 9999
endif
! term depending on (x,y,z)
val(icoeff)=(2*sone)*(a1(x,y,z)+a2(x,y,z)+a3(x,y,z))/sqdeltah &
& + c(x,y,z)
call ijk2idx(icol(icoeff),ix,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y,z+1)
val(icoeff)=-a3(x,y,z)/sqdeltah+b3(x,y,z)/deltah2
if (iz == idim) then
zt(k) = g(x,y,sone)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz+1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y+1,z)
val(icoeff)=-a2(x,y,z)/sqdeltah+b2(x,y,z)/deltah2
if (iy == idim) then
zt(k) = g(x,sone,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y,z)
val(icoeff)=-a1(x,y,z)/sqdeltah+b1(x,y,z)/deltah2
if (ix==idim) then
zt(k) = g(sone,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
!$omp do schedule(dynamic)
!
do ii=1, nlr, nb
if (info /= psb_success_) cycle
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,iz,glob_row,idim,idim,idim)
! x, y, z coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
z = (iz-1)*deltah
zt(k) = f_(x,y,z)
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
val(icoeff) = -a1(x,y,z)/sqdeltah-b1(x,y,z)/deltah2
if (ix == 1) then
zt(k) = g(szero,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1,z)
val(icoeff) = -a2(x,y,z)/sqdeltah-b2(x,y,z)/deltah2
if (iy == 1) then
zt(k) = g(x,szero,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z-1)
val(icoeff)=-a3(x,y,z)/sqdeltah-b3(x,y,z)/deltah2
if (iz == 1) then
zt(k) = g(x,y,szero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz-1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y,z)
val(icoeff)=(2*sone)*(a1(x,y,z)+a2(x,y,z)+a3(x,y,z))/sqdeltah &
& + c(x,y,z)
call ijk2idx(icol(icoeff),ix,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y,z+1)
val(icoeff)=-a3(x,y,z)/sqdeltah+b3(x,y,z)/deltah2
if (iz == idim) then
zt(k) = g(x,y,sone)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy,iz+1,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y+1,z)
val(icoeff)=-a2(x,y,z)/sqdeltah+b2(x,y,z)/deltah2
if (iy == idim) then
zt(k) = g(x,sone,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y,z)
val(icoeff)=-a1(x,y,z)/sqdeltah+b1(x,y,z)/deltah2
if (ix==idim) then
zt(k) = g(sone,y,z)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,iz,idim,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
end do
!write(0,*) ' Outer in_parallel ',omp_in_parallel()
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) cycle
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) cycle
zt(:)=szero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) cycle
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) exit
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) exit
zt(:)=szero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) exit
end do
!$omp end do
deallocate(val,irow,icol)
end block
!$omp end parallel
tgen = psb_wtime()-t1
if(info /= psb_success_) then
@@ -490,7 +500,6 @@ contains
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
@@ -557,6 +566,9 @@ contains
& a1,a2,b1,b2,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
#if defined(OPENMP)
use omp_lib
#endif
!
! Discretizes the partial differential equation
!
@@ -591,7 +603,6 @@ contains
type(psb_s_csc_sparse_mat) :: acsc
type(psb_s_coo_sparse_mat) :: acoo
type(psb_s_csr_sparse_mat) :: acsr
real(psb_spk_) :: zt(nb),x,y,z,xph,xmh,yph,ymh,zph,zmh
integer(psb_ipk_) :: nnz,nr,nlr,i,j,ii,ib,k, partition_
integer(psb_lpk_) :: m,n,glob_row,nt
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
@@ -604,8 +615,7 @@ contains
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_spk_), allocatable :: val(:)
integer(psb_lpk_), allocatable :: myidx(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_spk_) :: deltah, sqdeltah, deltah2, dd
@@ -791,7 +801,7 @@ contains
!write(0,*) iam,' Check on neighbours: ',desc_a%get_p_adjcncy()
end if
end block
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
@@ -816,93 +826,109 @@ contains
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ctxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,glob_row,idim,idim)
! x, y coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
!$omp parallel shared(deltah,myidx,a,desc_a)
!
block
integer(psb_ipk_) :: i,j,k,ii,ib,icoeff, ix,iy,iz, ith,nth
integer(psb_lpk_) :: glob_row
integer(psb_lpk_), allocatable :: irow(:),icol(:)
real(psb_spk_), allocatable :: val(:)
real(psb_spk_) :: x,y,z, zt(nb)
#if defined(OPENMP)
nth = omp_get_num_threads()
ith = omp_get_thread_num()
#else
nth = 1
ith = 0
#endif
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
!goto 9999
endif
zt(k) = f_(x,y)
! internal point: build discretization
!
! term depending on (x-1,y)
!
val(icoeff) = -a1(x,y)/sqdeltah-b1(x,y)/deltah2
if (ix == 1) then
zt(k) = g(szero,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1)
val(icoeff) = -a2(x,y)/sqdeltah-b2(x,y)/deltah2
if (iy == 1) then
zt(k) = g(x,szero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! loop over rows belonging to current process in a block
! distribution.
!$omp do schedule(dynamic)
!
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,glob_row,idim,idim)
! x, y coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
! term depending on (x,y)
val(icoeff)=(2*sone)*(a1(x,y) + a2(x,y))/sqdeltah + c(x,y)
call ijk2idx(icol(icoeff),ix,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y+1)
val(icoeff)=-a2(x,y)/sqdeltah+b2(x,y)/deltah2
if (iy == idim) then
zt(k) = g(x,sone)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y)
val(icoeff)=-a1(x,y)/sqdeltah+b1(x,y)/deltah2
if (ix==idim) then
zt(k) = g(sone,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
zt(k) = f_(x,y)
! internal point: build discretization
!
! term depending on (x-1,y)
!
val(icoeff) = -a1(x,y)/sqdeltah-b1(x,y)/deltah2
if (ix == 1) then
zt(k) = g(szero,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix-1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y-1)
val(icoeff) = -a2(x,y)/sqdeltah-b2(x,y)/deltah2
if (iy == 1) then
zt(k) = g(x,szero)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy-1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x,y)
val(icoeff)=(2*sone)*(a1(x,y) + a2(x,y))/sqdeltah + c(x,y)
call ijk2idx(icol(icoeff),ix,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
! term depending on (x,y+1)
val(icoeff)=-a2(x,y)/sqdeltah+b2(x,y)/deltah2
if (iy == idim) then
zt(k) = g(x,sone)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix,iy+1,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
! term depending on (x+1,y)
val(icoeff)=-a1(x,y)/sqdeltah+b1(x,y)/deltah2
if (ix==idim) then
zt(k) = g(sone,y)*(-val(icoeff)) + zt(k)
else
call ijk2idx(icol(icoeff),ix+1,iy,idim,idim)
irow(icoeff) = glob_row
icoeff = icoeff+1
endif
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) cycle
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) cycle
zt(:)=szero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) cycle
end do
call psb_spins(icoeff-1,irow,icol,val,a,desc_a,info)
if(info /= psb_success_) exit
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),bv,desc_a,info)
if(info /= psb_success_) exit
zt(:)=szero
call psb_geins(ib,myidx(ii:ii+ib-1),zt(1:ib),xv,desc_a,info)
if(info /= psb_success_) exit
end do
!$omp end do
deallocate(val,irow,icol)
end block
!$omp end parallel
tgen = psb_wtime()-t1
if(info /= psb_success_) then
@@ -912,8 +938,6 @@ contains
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info)
+1 -1
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@@ -1,6 +1,6 @@
%%%%%%%%%%% General arguments % Lines starting with % are ignored.
CSR ! Storage format CSR COO JAD
0080 ! IDIM; domain size. Linear system size is IDIM**3
0200 ! IDIM; domain size. Linear system size is IDIM**3
CONST ! PDECOEFF: CONST, EXP, GAUSS Coefficients of the PDE
BICGSTAB ! Iterative method: BiCGSTAB BiCGSTABL BiCG CG CGS FCG GCR RGMRES
2 ! ISTOPC
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%%%%%%%%%%% General arguments % Lines starting with % are ignored.
CSR ! Storage format CSR COO JAD
0140 ! IDIM; domain size. Linear system size is IDIM**3
CONST ! PDECOEFF: CONST, EXP, GAUSS Coefficients of the PDE
BICGSTAB ! Iterative method: BiCGSTAB BiCGSTABL BiCG CG CGS FCG GCR RGMRES
2 ! ISTOPC
00500 ! ITMAX
1 ! ITRACE
30 ! IRST (restart for RGMRES and BiCGSTABL)
1.d-6 ! EPS
%%%%%%%%%%% Main preconditioner choices %%%%%%%%%%%%%%%%
ML-VCYCLE-BJAC-D-BJAC ! Longer descriptive name for preconditioner (up to 20 chars)
ML ! Preconditioner type: NONE JACOBI GS FBGS BJAC AS ML
%%%%%%%%%%% First smoother (for all levels but coarsest) %%%%%%%%%%%%%%%%
FBGS ! Smoother type JACOBI FBGS GS BWGS BJAC AS. For 1-level, repeats previous.
1 ! Number of sweeps for smoother
0 ! Number of overlap layers for AS preconditioner
HALO ! AS restriction operator: NONE HALO
NONE ! AS prolongation operator: NONE SUM AVG
INVK ! Subdomain solver for BJAC/AS: JACOBI GS BGS ILU ILUT MILU MUMPS SLU UMF
LLK ! AINV variant
0 ! Fill level P for ILU(P) and ILU(T,P)
1 ! Inverse Fill level P for INVK
1.d-4 ! Threshold T for ILU(T,P)
%%%%%%%%%%% Second smoother, always ignored for non-ML %%%%%%%%%%%%%%%%
NONE ! Second (post) smoother, ignored if NONE
1 ! Number of sweeps for (post) smoother
0 ! Number of overlap layers for AS preconditioner
HALO ! AS restriction operator: NONE HALO
NONE ! AS prolongation operator: NONE SUM AVG
ILU ! Subdomain solver for BJAC/AS: JACOBI GS BGS ILU ILUT MILU MUMPS SLU UMF
LLK ! AINV variant
0 ! Fill level P for ILU(P) and ILU(T,P)
8 ! Inverse Fill level P for INVK
1.d-4 ! Threshold T for ILU(T,P)
%%%%%%%%%%% Multilevel parameters %%%%%%%%%%%%%%%%
VCYCLE ! Type of multilevel CYCLE: VCYCLE WCYCLE KCYCLE MULT ADD
1 ! Number of outer sweeps for ML
-3 ! Max Number of levels in a multilevel preconditioner; if <0, lib default
-3 ! Target coarse matrix size per process; if <0, lib default
SMOOTHED ! Type of aggregation: SMOOTHED UNSMOOTHED
NEWMTC ! Parallel aggregation: DEC, SYMDEC, COUPLED NEWMTC
NEWMTC ! aggregation measure SOC1, MATCHBOXP NEWMTC
8 ! Requested size of the aggregates for MATCHBOXP
NATURAL ! Ordering of aggregation NATURAL DEGREE
NOFILTER ! Filtering of matrix: FILTER NOFILTER
-1.5 ! Coarsening ratio, if < 0 use library default
2 ! MATCHING variant
8.0 ! LAMBDA
-2 ! Number of thresholds in vector, next line ignored if <= 0
0.05 0.025 ! Thresholds
-0.0100d0 ! Smoothed aggregation threshold, ignored if < 0
%%%%%%%%%%% Coarse level solver %%%%%%%%%%%%%%%%
BJAC ! Coarsest-level solver: MUMPS UMF SLU SLUDIST JACOBI GS BJAC
ILU ! Coarsest-level subsolver for BJAC: ILU ILUT MILU UMF MUMPS SLU
DIST ! Coarsest-level matrix distribution: DIST REPL
1 ! Coarsest-level fillin P for ILU(P) and ILU(T,P)
1.d-4 ! Coarsest-level threshold T for ILU(T,P)
1 ! Number of sweeps for JACOBI/GS/BJAC coarsest-level solver
%%%%%%%%%%% Dump parms %%%%%%%%%%%%%%%%%%%%%%%%%%
F ! Dump preconditioner on file
1 ! Min level
20 ! Max level
T ! Dump AC
T ! Dump RP
F ! Dump TPROL
F ! Dump SMOOTHER
F ! Dump SOLVER
F ! Global numering ?