New GPU example

mergeparmatch
Salvatore Filippone 4 years ago
parent 8bf1e30d66
commit 76eedf43bd

@ -0,0 +1,31 @@
AMGDIR=../..
AMGINCDIR=$(AMGDIR)/include
include $(AMGINCDIR)/Make.inc.amg4psblas
AMGMODDIR=$(AMGDIR)/modules
AMGLIBDIR=$(AMGDIR)/lib
AMG_LIBS=-L$(AMGLIBDIR) -lpsb_krylov -lamg_prec -lpsb_prec
FINCLUDES=$(FMFLAG). $(FMFLAG)$(AMGMODDIR) $(FMFLAG)$(AMGINCDIR) $(PSBLAS_INCLUDES) $(FIFLAG).
LINKOPT=
DGOBJS=amg_dexample_gpu.o data_input.o amg_dpde_mod.o
EXEDIR=./runs
all: amg_dexample_gpu
amg_dexample_gpu: $(DGOBJS)
$(FLINK) $(LINKOPT) $(DGOBJS) -o amg_dexample_gpu \
$(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
/bin/mv amg_dexample_gpu $(EXEDIR)
amg_dexample_gpu.o: data_input.o amg_dpde_mod.o
clean:
/bin/rm -f $(DGOBJS) *$(.mod) $(EXEDIR)/amg_dexample_gpu
lib:
(cd ../../; make library)
verycleanlib:
(cd ../../; make veryclean)

@ -0,0 +1,353 @@
!
!
! 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_dexample_gpu.f90
!
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs. The solver is CG, coupled with one of the
! following multi-level preconditioner, as explained in Section 4.1 of
! the AMG4PSBLAS User's and Reference Guide:
!
! - choice = 1, the default multi-level preconditioner solver, i.e.,
! V-cycle with decoupled smoothed aggregation, 1 hybrid forward/backward
! GS sweep as pre/post-smoother and UMFPACK as coarsest-level
! solver (Sec. 4.1, Listing 1)
!
! - choice = 2, a V-cycle preconditioner with 1 block-Jacobi sweep
! (with ILU(0) on the blocks) as pre- and post-smoother, and 8 block-Jacobi
! sweeps (with ILU(0) on the blocks) as coarsest-level solver (Sec. 4.1, Listing 2)
!
! - choice = 3, W-cycle preconditioner based on the coupled aggregation relying
! on matching, with maximum size of aggregates equal to 8 and smoothed prolongators,
! 2 hybrid forward/backward GS sweeps as pre/post-smoother, a distributed coarsest
! matrix, and preconditioned Flexible Conjugate Gradient as coarsest-level solver
! (Sec. 4.1, Listing 3)
!
! The matrix and the rhs are read from files (if an rhs is not available, the
! unit rhs is set).
!
!
! The PDE is a general second order equation in 3d
!
! a1 dd(u) a2 dd(u) a3 dd(u) b1 d(u) b2 d(u) b3 d(u)
! - ------ - ------ - ------ + ----- + ------ + ------ + c u = f
! dxdx dydy dzdz dx dy dz
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit cube 0<=x,y,z<=1.
!
!
! Note that if b1=b2=b3=c=0., the PDE is the Laplace equation.
!
! In this sample program the index space of the discretized
! computational domain is first numbered sequentially in a standard way,
! then the corresponding vector is distributed according to a BLOCK
! data distribution.
!
program amg_dexample_gpu
use psb_base_mod
use amg_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_gpu_mod
use data_input
use amg_d_pde_mod
implicit none
! input parameters
! sparse matrices
type(psb_dspmat_type) :: A
! sparse matrices descriptor
type(psb_desc_type):: desc_A
! preconditioner
type(amg_dprec_type) :: P
! right-hand side, solution and residual vectors
type(psb_d_vect_type) :: x, b, r
! GPU variables
type(psb_d_hlg_sparse_mat) :: agmold
type(psb_d_vect_gpu) :: vgmold
type(psb_i_vect_gpu) :: igmold
! solver and preconditioner parameters
real(psb_dpk_) :: tol, err
integer :: itmax, iter, istop
integer :: nlev
! parallel environment parameters
type(psb_ctxt_type) :: ctxt
integer :: iam, np
! other variables
integer :: choice
integer :: i,info,j
integer(psb_epk_) :: amatsize, precsize, descsize
integer(psb_epk_) :: system_size
integer :: idim, ierr, ircode
real(psb_dpk_) :: resmx, resmxp
real(psb_dpk_) :: t1, t2, tprec
character(len=5) :: afmt='CSR'
character(len=20) :: name, kmethod
! initialize the parallel environment
call psb_init(ctxt)
call psb_info(ctxt,iam,np)
!
! BEWARE: if you have NGPUS per node, the default is to
! attach to mod(IAM,NGPUS)
!
call psb_gpu_init(ictxt)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ctxt)
stop
endif
name='amg_dexample_gpu'
if(psb_get_errstatus() /= 0) goto 9999
info=psb_success_
call psb_set_errverbosity(2)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to AMG4PSBLAS version: ',amg_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
write(*,*) 'Process ',iam,' running on device: ', psb_cuda_getDevice(),' out of', psb_cuda_getDeviceCount()
write(*,*) 'Process ',iam,' device ', psb_cuda_getDevice(),' is a: ', trim(psb_gpu_DeviceName())
! get parameters
call get_parms(ctxt,choice,idim,itmax,tol)
! allocate and fill in the coefficient matrix, rhs and initial guess
call psb_barrier(ctxt)
t1 = psb_wtime()
call amg_gen_pde3d(ctxt,idim,a,b,x,desc_a,afmt,&
& a1,a2,a3,b1,b2,b3,c,g,info)
call psb_barrier(ctxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
call psb_errpush(info,name)
goto 9999
end if
if (iam == psb_root_) write(*,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) write(*,'(" ")')
select case(choice)
case(1)
! initialize a V-cycle preconditioner with 4 Jacobi sweep
! and 8 Jacobi sweeps as coarsest-level solver
call P%init(ctxt,'ML',info)
call P%set('SMOOTHER_TYPE','JACOBI',info)
call P%set('SMOOTHER_SWEEPS',4,info)
call P%set('COARSE_SOLVE','JACOBI',info)
call P%set('COARSE_SWEEPS',8,info)
kmethod = 'CG'
case(2)
! initialize a V-cycle preconditioner based on the coupled aggregation relying on matching,
! with maximum size of aggregates equal to 8 and smoothed prolongators,
! Block-Jacobi smoother using approximate inverse INVK and
! and 4 sweeps of INVK on he coarsest level
call P%init(ctxt,'ML',info)
call P%set('PAR_AGGR_ALG','COUPLED',info)
call P%set('AGGR_TYPE','MATCHBOXP',info)
call P%set('AGGR_SIZE',8,info)
call P%set('ML_CYCLE','WCYCLE',info)
call P%set('SMOOTHER_SWEEPS',2,info)
call P%set('SUB_SOLVE','INVK',info)
call P%set('COARSE_SOLVE','INVK',info)
call P%set('COARSE_MAT','DIST',info)
kmethod = 'CG'
end select
call psb_barrier(ctxt)
t1 = psb_wtime()
! build the preconditioner
call P%hierarchy_build(A,desc_A,info)
call P%smoothers_build(A,desc_A,info, amold=agmold, vmold=vgmold, imold=igmold)
tprec = psb_wtime()-t1
call psb_amx(ctxt, tprec)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_precbld')
goto 9999
end if
! set the solver parameters and the initial guess
call psb_geall(x,desc_A,info)
call x%zero()
call psb_geasb(x,desc_A,info)
! Convert A, DESC_A,X,B to a GPU-enabled format
call desc_a%cnv(mold=igmold)
call a%cscnv(info,mold=agmold)
call psb_geasb(x,desc_a,info,mold=vgmold)
call psb_geasb(b,desc_a,info,mold=vgmold)
! solve Ax=b with preconditioned Krylov method
call psb_barrier(ctxt)
call prec%allocate_wrk(info)
t1 = psb_wtime()
call psb_krylov(kmethod,A,P,b,x,tol,desc_A,info,itmax,iter,err,itrace=1,istop=2)
t2 = psb_wtime() - t1
call psb_amx(ctxt,t2)
call prec%deallocate_wrk(info)
call psb_geall(r,desc_A,info)
call r%zero()
call psb_geasb(r,desc_A,info)
call psb_geaxpby(done,b,dzero,r,desc_A,info)
call psb_spmm(-done,A,x,done,r,desc_A,info)
resmx = psb_genrm2(r,desc_A,info)
resmxp = psb_geamax(r,desc_A,info)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = p%sizeof()
system_size = desc_a%get_global_rows()
call psb_sum(ctxt,amatsize)
call psb_sum(ctxt,descsize)
call psb_sum(ctxt,precsize)
call P%descr(info)
if (iam == psb_root_) then
write(*,'(" ")')
write(*,'("Matrix from PDE example")')
write(*,'("Computed solution on ",i8," processors")')np
write(*,'("Linear system size : ",i12)') system_size
write(*,'("Krylov method : ",a)') kmethod
write(*,'("Iterations to convergence : ",i6)')iter
write(*,'("Error estimate on exit : ",es12.5)')err
write(*,'("Time to build prec. : ",es12.5)')tprec
write(*,'("Time to solve system : ",es12.5)')t2
write(*,'("Time per iteration : ",es12.5)')t2/(iter)
write(*,'("Total time : ",es12.5)')t2+tprec
write(*,'("Residual 2-norm : ",es12.5)')resmx
write(*,'("Residual inf-norm : ",es12.5)')resmxp
write(*,'("Total memory occupation for A : ",i12)')amatsize
write(*,'("Total memory occupation for DESC_A : ",i12)')descsize
write(*,'("Total memory occupation for PREC : ",i12)')precsize
end if
call psb_gefree(b, desc_A,info)
call psb_gefree(x, desc_A,info)
call psb_spfree(A, desc_A,info)
call P%free(info)
call psb_cdfree(desc_A,info)
call psb_gpu_exit()
call psb_exit(ctxt)
stop
9999 continue
call psb_error(ctxt)
contains
!
! get parameters from standard input
!
subroutine get_parms(ctxt,choice,idim,itmax,tol)
implicit none
type(psb_ctxt_type) :: ctxt
integer :: choice, idim, itmax
real(psb_dpk_) :: tol
integer :: iam, np, inp_unit
character(len=1024) :: filename
call psb_info(ctxt,iam,np)
if (iam == psb_root_) then
if (command_argument_count()>0) then
call get_command_argument(1,filename)
inp_unit = 30
open(inp_unit,file=filename,action='read',iostat=info)
if (info /= 0) then
write(psb_err_unit,*) 'Could not open file ',filename,' for input'
call psb_abort(ctxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
! read input parameters
call read_data(choice,inp_unit)
call read_data(idim,inp_unit)
call read_data(itmax,inp_unit)
call read_data(tol,inp_unit)
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
call psb_bcast(ctxt,choice)
call psb_bcast(ctxt,idim)
call psb_bcast(ctxt,itmax)
call psb_bcast(ctxt,tol)
end subroutine get_parms
end program amg_dexample_gpu

@ -0,0 +1,182 @@
!
! AMG4PSBLAS version 1.0
! Algebraic Multigrid Package
! based on PSBLAS (Parallel Sparse BLAS version 3.7)
!
! (C) Copyright 2020
!
! 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 data_input
interface read_data
module procedure read_char, read_int,&
& read_double, read_single,&
& string_read_char, string_read_int,&
& string_read_double, string_read_single
end interface read_data
interface trim_string
module procedure trim_string
end interface
character(len=4096), private :: charbuf
character, private, parameter :: def_marker="!"
contains
subroutine read_char(val,file,marker)
character(len=*), intent(out) :: val
integer, intent(in) :: file
character(len=1), optional, intent(in) :: marker
read(file,'(a)')charbuf
call read_data(val,charbuf,marker)
end subroutine read_char
subroutine read_int(val,file,marker)
integer, intent(out) :: val
integer, intent(in) :: file
character(len=1), optional, intent(in) :: marker
read(file,'(a)')charbuf
call read_data(val,charbuf,marker)
end subroutine read_int
subroutine read_single(val,file,marker)
use psb_base_mod
real(psb_spk_), intent(out) :: val
integer, intent(in) :: file
character(len=1), optional, intent(in) :: marker
read(file,'(a)')charbuf
call read_data(val,charbuf,marker)
end subroutine read_single
subroutine read_double(val,file,marker)
use psb_base_mod
real(psb_dpk_), intent(out) :: val
integer, intent(in) :: file
character(len=1), optional, intent(in) :: marker
read(file,'(a)')charbuf
call read_data(val,charbuf,marker)
end subroutine read_double
subroutine string_read_char(val,file,marker)
character(len=*), intent(out) :: val
character(len=*), intent(in) :: file
character(len=1), optional, intent(in) :: marker
character(len=1) :: marker_
character(len=1024) :: charbuf
integer :: idx
if (present(marker)) then
marker_ = marker
else
marker_ = def_marker
end if
read(file,'(a)')charbuf
charbuf = adjustl(charbuf)
idx=index(charbuf,marker_)
if (idx == 0) idx = len(charbuf)+1
read(charbuf(1:idx-1),'(a)') val
end subroutine string_read_char
subroutine string_read_int(val,file,marker)
integer, intent(out) :: val
character(len=*), intent(in) :: file
character(len=1), optional, intent(in) :: marker
character(len=1) :: marker_
character(len=1024) :: charbuf
integer :: idx
if (present(marker)) then
marker_ = marker
else
marker_ = def_marker
end if
read(file,'(a)')charbuf
charbuf = adjustl(charbuf)
idx=index(charbuf,marker_)
if (idx == 0) idx = len(charbuf)+1
read(charbuf(1:idx-1),*) val
end subroutine string_read_int
subroutine string_read_single(val,file,marker)
use psb_base_mod
real(psb_spk_), intent(out) :: val
character(len=*), intent(in) :: file
character(len=1), optional, intent(in) :: marker
character(len=1) :: marker_
character(len=1024) :: charbuf
integer :: idx
if (present(marker)) then
marker_ = marker
else
marker_ = def_marker
end if
read(file,'(a)')charbuf
charbuf = adjustl(charbuf)
idx=index(charbuf,marker_)
if (idx == 0) idx = len(charbuf)+1
read(charbuf(1:idx-1),*) val
end subroutine string_read_single
subroutine string_read_double(val,file,marker)
use psb_base_mod
real(psb_dpk_), intent(out) :: val
character(len=*), intent(in) :: file
character(len=1), optional, intent(in) :: marker
character(len=1) :: marker_
character(len=1024) :: charbuf
integer :: idx
if (present(marker)) then
marker_ = marker
else
marker_ = def_marker
end if
read(file,'(a)')charbuf
charbuf = adjustl(charbuf)
idx=index(charbuf,marker_)
if (idx == 0) idx = len(charbuf)+1
read(charbuf(1:idx-1),*) val
end subroutine string_read_double
function trim_string(string,marker)
character(len=*), intent(in) :: string
character(len=1), optional, intent(in) :: marker
character(len=len(string)) :: trim_string
character(len=1) :: marker_
integer :: idx
if (present(marker)) then
marker_ = marker
else
marker_ = def_marker
end if
idx=index(string,marker_)
trim_string = adjustl(string(idx:))
end function trim_string
end module data_input

@ -0,0 +1,4 @@
1 ! Preconditioner choice
10 ! IDIM; domain size is idim**3
500 ! ITMAX
1.d-6 ! EPS

@ -1,52 +0,0 @@
AMGDIR=../..
AMGINCDIR=$(AMGDIR)/include
include $(AMGINCDIR)/Make.inc.amg4psblas
AMGMODDIR=$(AMGDIR)/modules
AMGLIBDIR=$(AMGDIR)/lib
AMG_LIBS=-L$(AMGLIBDIR) -lpsb_krylov -lamg_prec -lpsb_prec
FINCLUDES=$(FMFLAG). $(FMFLAG)$(AMGMODDIR) $(FMFLAG)$(AMGINCDIR) $(PSBLAS_INCLUDES) $(FIFLAG).
LINKOPT=
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)
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)
/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
$(FLINK) $(LINKOPT) 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 -o amg_s_pde2d $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
/bin/mv amg_s_pde2d $(EXEDIR)
amg_d_pde3d_rebld: amg_d_pde3d_rebld.o data_input.o
$(FLINK) $(LINKOPT) amg_d_pde3d_rebld.o data_input.o -o amg_d_pde3d_rebld $(AMG_LIBS) $(PSBLAS_LIBS) $(LDLIBS)
/bin/mv amg_d_pde3d_rebld $(EXEDIR)
amg_d_pde3d.o amg_s_pde3d.o amg_d_pde2d.o amg_s_pde2d.o: data_input.o
amg_d_pde3d.o: amg_d_genpde_mod.o amg_d_pde3d_base_mod.o amg_d_pde3d_exp_mod.o amg_d_pde3d_gauss_mod.o
amg_s_pde3d.o: amg_s_genpde_mod.o amg_s_pde3d_base_mod.o amg_s_pde3d_exp_mod.o amg_s_pde3d_gauss_mod.o
amg_d_pde2d.o: amg_d_genpde_mod.o amg_d_pde2d_base_mod.o amg_d_pde2d_exp_mod.o amg_d_pde2d_box_mod.o
amg_s_pde2d.o: amg_s_genpde_mod.o amg_s_pde2d_base_mod.o amg_s_pde2d_exp_mod.o amg_s_pde2d_box_mod.o
check: all
cd runs && ./amg_d_pde2d <amg_pde2d.inp && ./amg_s_pde2d<amg_pde2d.inp
clean:
/bin/rm -f data_input.o *.o *$(.mod)\
$(EXEDIR)/mld_d_pde3d $(EXEDIR)/mld_s_pde3d $(EXEDIR)/mld_d_pde2d $(EXEDIR)/mld_s_pde2d
verycleanlib:
(cd ../..; make veryclean)
lib:
(cd ../../; make library)

@ -1,931 +0,0 @@
module amg_d_genpde_mod
use psb_base_mod, only : psb_dpk_, psb_ipk_, psb_desc_type,&
& psb_dspmat_type, psb_d_vect_type, dzero, done,&
& psb_d_base_sparse_mat, psb_d_base_vect_type, psb_i_base_vect_type
interface
function d_func_3d(x,y,z) result(val)
import :: psb_dpk_
real(psb_dpk_), intent(in) :: x,y,z
real(psb_dpk_) :: val
end function d_func_3d
end interface
interface amg_gen_pde3d
module procedure amg_d_gen_pde3d
end interface amg_gen_pde3d
interface
function d_func_2d(x,y) result(val)
import :: psb_dpk_
real(psb_dpk_), intent(in) :: x,y
real(psb_dpk_) :: val
end function d_func_2d
end interface
interface amg_gen_pde2d
module procedure amg_d_gen_pde2d
end interface amg_gen_pde2d
contains
function d_null_func_2d(x,y) result(val)
real(psb_dpk_), intent(in) :: x,y
real(psb_dpk_) :: val
val = dzero
end function d_null_func_2d
function d_null_func_3d(x,y,z) result(val)
real(psb_dpk_), intent(in) :: x,y,z
real(psb_dpk_) :: val
val = dzero
end function d_null_func_3d
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine amg_d_gen_pde3d(ctxt,idim,a,bv,xv,desc_a,afmt,&
& a1,a2,a3,b1,b2,b3,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! d a1 d(u) d a1 d(u) d a1 d(u) b1 d(u) b2 d(u) b3 d(u)
! - ------ - ------ - ------ + ----- + ------ + ------ + c u = f
! dx dx dy dy dz dz dx dy dz
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit cube 0<=x,y,z<=1.
!
!
! Note that if b1=b2=b3=c=0., the PDE is the Laplace equation.
!
implicit none
procedure(d_func_3d) :: b1,b2,b3,c,a1,a2,a3,g
integer(psb_ipk_) :: idim
type(psb_dspmat_type) :: a
type(psb_d_vect_type) :: xv,bv
type(psb_desc_type) :: desc_a
integer(psb_ipk_) :: info
type(psb_ctxt_type) :: ctxt
character :: afmt*5
procedure(d_func_3d), optional :: f
class(psb_d_base_sparse_mat), optional :: amold
class(psb_d_base_vect_type), optional :: vmold
integer(psb_ipk_), optional :: partition, nrl,iv(:)
! Local variables.
integer(psb_ipk_), parameter :: nb=20
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
! For 3D partition
! Note: integer control variables going directly into an MPI call
! must be 4 bytes, i.e. psb_mpk_
integer(psb_mpk_) :: npdims(3), npp, minfo
integer(psb_ipk_) :: npx,npy,npz, iamx,iamy,iamz,mynx,myny,mynz
integer(psb_ipk_), allocatable :: bndx(:),bndy(:),bndz(:)
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_dpk_), allocatable :: val(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_dpk_) :: deltah, sqdeltah, deltah2
real(psb_dpk_), parameter :: rhs=dzero,one=done,zero=dzero
real(psb_dpk_) :: t0, t1, t2, t3, tasb, talc, ttot, tgen, tcdasb
integer(psb_ipk_) :: err_act
procedure(d_func_3d), pointer :: f_
character(len=20) :: name, ch_err,tmpfmt
info = psb_success_
name = 'd_create_matrix'
call psb_erractionsave(err_act)
call psb_info(ctxt, iam, np)
if (present(f)) then
f_ => f
else
f_ => d_null_func_3d
end if
if (present(partition)) then
if ((1<= partition).and.(partition <= 3)) then
partition_ = partition
else
write(*,*) 'Invalid partition choice ',partition,' defaulting to 3'
partition_ = 3
end if
else
partition_ = 3
end if
deltah = done/(idim+2)
sqdeltah = deltah*deltah
deltah2 = 2.0_psb_dpk_* deltah
if (present(partition)) then
if ((1<= partition).and.(partition <= 3)) then
partition_ = partition
else
write(*,*) 'Invalid partition choice ',partition,' defaulting to 3'
partition_ = 3
end if
else
partition_ = 3
end if
! initialize array descriptor and sparse matrix storage. provide an
! estimate of the number of non zeroes
m = (1_psb_lpk_*idim)*idim*idim
n = m
nnz = 7*((n+np-1)/np)
if(iam == psb_root_) write(psb_out_unit,'("Generating Matrix (size=",i0,")...")')n
t0 = psb_wtime()
select case(partition_)
case(1)
! A BLOCK partition
if (present(nrl)) then
nr = nrl
else
!
! Using a simple BLOCK distribution.
!
nt = (m+np-1)/np
nr = max(0,min(nt,m-(iam*nt)))
end if
nt = nr
call psb_sum(ctxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ctxt,desc_a,info,nl=nr)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(2)
! A partition defined by the user through IV
if (present(iv)) then
if (size(iv) /= m) then
write(psb_err_unit,*) iam, 'Initialization error: wrong IV size',size(iv),m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ctxt,desc_a,info,vg=iv)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(3)
! A 3-dimensional partition
! A nifty MPI function will split the process list
npdims = 0
call mpi_dims_create(np,3,npdims,info)
npx = npdims(1)
npy = npdims(2)
npz = npdims(3)
allocate(bndx(0:npx),bndy(0:npy),bndz(0:npz))
! We can reuse idx2ijk for process indices as well.
call idx2ijk(iamx,iamy,iamz,iam,npx,npy,npz,base=0)
! Now let's split the 3D cube in hexahedra
call dist1Didx(bndx,idim,npx)
mynx = bndx(iamx+1)-bndx(iamx)
call dist1Didx(bndy,idim,npy)
myny = bndy(iamy+1)-bndy(iamy)
call dist1Didx(bndz,idim,npz)
mynz = bndz(iamz+1)-bndz(iamz)
! How many indices do I own?
nlr = mynx*myny*mynz
allocate(myidx(nlr))
! Now, let's generate the list of indices I own
nr = 0
do i=bndx(iamx),bndx(iamx+1)-1
do j=bndy(iamy),bndy(iamy+1)-1
do k=bndz(iamz),bndz(iamz+1)-1
nr = nr + 1
call ijk2idx(myidx(nr),i,j,k,idim,idim,idim)
end do
end do
end do
if (nr /= nlr) then
write(psb_err_unit,*) iam,iamx,iamy,iamz, 'Initialization error: NR vs NLR ',&
& nr,nlr,mynx,myny,mynz
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ctxt,desc_a,info,vl=myidx)
!
! Specify process topology
!
block
!
! Use adjcncy methods
!
integer(psb_mpk_), allocatable :: neighbours(:)
integer(psb_mpk_) :: cnt
logical, parameter :: debug_adj=.true.
if (debug_adj.and.(np > 1)) then
cnt = 0
allocate(neighbours(np))
if (iamx < npx-1) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx+1,iamy,iamz,npx,npy,npz,base=0)
end if
if (iamy < npy-1) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy+1,iamz,npx,npy,npz,base=0)
end if
if (iamz < npz-1) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy,iamz+1,npx,npy,npz,base=0)
end if
if (iamx >0) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx-1,iamy,iamz,npx,npy,npz,base=0)
end if
if (iamy >0) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy-1,iamz,npx,npy,npz,base=0)
end if
if (iamz >0) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy,iamz-1,npx,npy,npz,base=0)
end if
call psb_realloc(cnt, neighbours,info)
call desc_a%set_p_adjcncy(neighbours)
!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
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end select
if (info == psb_success_) call psb_spall(a,desc_a,info,nnz=nnz)
! define rhs from boundary conditions; also build initial guess
if (info == psb_success_) call psb_geall(xv,desc_a,info)
if (info == psb_success_) call psb_geall(bv,desc_a,info)
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
! 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
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
tgen = psb_wtime()-t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='insert rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info)
tcdasb = psb_wtime()-t1
call psb_barrier(ctxt)
t1 = psb_wtime()
if (info == psb_success_) then
if (present(amold)) then
call psb_spasb(a,desc_a,info,dupl=psb_dupl_err_,mold=amold)
else
call psb_spasb(a,desc_a,info,dupl=psb_dupl_err_,afmt=afmt)
end if
end if
call psb_barrier(ctxt)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (info == psb_success_) call psb_geasb(xv,desc_a,info,mold=vmold)
if (info == psb_success_) call psb_geasb(bv,desc_a,info,mold=vmold)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tasb = psb_wtime()-t1
call psb_barrier(ctxt)
ttot = psb_wtime() - t0
call psb_amx(ctxt,talc)
call psb_amx(ctxt,tgen)
call psb_amx(ctxt,tasb)
call psb_amx(ctxt,ttot)
if(iam == psb_root_) then
tmpfmt = a%get_fmt()
write(psb_out_unit,'("The matrix has been generated and assembled in ",a3," format.")')&
& tmpfmt
write(psb_out_unit,'("-allocation time : ",es12.5)') talc
write(psb_out_unit,'("-coeff. gen. time : ",es12.5)') tgen
write(psb_out_unit,'("-desc asbly time : ",es12.5)') tcdasb
write(psb_out_unit,'("- mat asbly time : ",es12.5)') tasb
write(psb_out_unit,'("-total time : ",es12.5)') ttot
end if
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(ctxt,err_act)
return
end subroutine amg_d_gen_pde3d
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine amg_d_gen_pde2d(ctxt,idim,a,bv,xv,desc_a,afmt,&
& a1,a2,b1,b2,c,g,info,f,amold,vmold,partition, nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! d d(u) d d(u) b1 d(u) b2 d(u)
! - -- a1 ---- - -- a1 ---- + ----- + ------ + c u = f
! dx dx dy dy dx dy
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit square 0<=x,y<=1.
!
!
! Note that if b1=b2=c=0., the PDE is the Laplace equation.
!
implicit none
procedure(d_func_2d) :: b1,b2,c,a1,a2,g
integer(psb_ipk_) :: idim
type(psb_dspmat_type) :: a
type(psb_d_vect_type) :: xv,bv
type(psb_desc_type) :: desc_a
integer(psb_ipk_) :: info
type(psb_ctxt_type) :: ctxt
character :: afmt*5
procedure(d_func_2d), optional :: f
class(psb_d_base_sparse_mat), optional :: amold
class(psb_d_base_vect_type), optional :: vmold
integer(psb_ipk_), optional :: partition, nrl,iv(:)
! Local variables.
integer(psb_ipk_), parameter :: nb=20
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
! For 2D partition
! Note: integer control variables going directly into an MPI call
! must be 4 bytes, i.e. psb_mpk_
integer(psb_mpk_) :: npdims(2), npp, minfo
integer(psb_ipk_) :: npx,npy,iamx,iamy,mynx,myny
integer(psb_ipk_), allocatable :: bndx(:),bndy(:)
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_dpk_), allocatable :: val(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_dpk_) :: deltah, sqdeltah, deltah2, dd
real(psb_dpk_), parameter :: rhs=0.d0,one=done,zero=0.d0
real(psb_dpk_) :: t0, t1, t2, t3, tasb, talc, ttot, tgen, tcdasb
integer(psb_ipk_) :: err_act
procedure(d_func_2d), pointer :: f_
character(len=20) :: name, ch_err,tmpfmt
info = psb_success_
name = 'create_matrix'
call psb_erractionsave(err_act)
call psb_info(ctxt, iam, np)
if (present(f)) then
f_ => f
else
f_ => d_null_func_2d
end if
deltah = done/(idim+2)
sqdeltah = deltah*deltah
deltah2 = 2.0_psb_dpk_* deltah
if (present(partition)) then
if ((1<= partition).and.(partition <= 3)) then
partition_ = partition
else
write(*,*) 'Invalid partition choice ',partition,' defaulting to 3'
partition_ = 3
end if
else
partition_ = 3
end if
! initialize array descriptor and sparse matrix storage. provide an
! estimate of the number of non zeroes
m = (1_psb_lpk_)*idim*idim
n = m
nnz = 7*((n+np-1)/np)
if(iam == psb_root_) write(psb_out_unit,'("Generating Matrix (size=",i0,")...")')n
t0 = psb_wtime()
select case(partition_)
case(1)
! A BLOCK partition
if (present(nrl)) then
nr = nrl
else
!
! Using a simple BLOCK distribution.
!
nt = (m+np-1)/np
nr = max(0,min(nt,m-(iam*nt)))
end if
nt = nr
call psb_sum(ctxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ctxt,desc_a,info,nl=nr)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(2)
! A partition defined by the user through IV
if (present(iv)) then
if (size(iv) /= m) then
write(psb_err_unit,*) iam, 'Initialization error: wrong IV size',size(iv),m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ctxt,desc_a,info,vg=iv)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(3)
! A 2-dimensional partition
! A nifty MPI function will split the process list
npdims = 0
call mpi_dims_create(np,2,npdims,info)
npx = npdims(1)
npy = npdims(2)
allocate(bndx(0:npx),bndy(0:npy))
! We can reuse idx2ijk for process indices as well.
call idx2ijk(iamx,iamy,iam,npx,npy,base=0)
! Now let's split the 2D square in rectangles
call dist1Didx(bndx,idim,npx)
mynx = bndx(iamx+1)-bndx(iamx)
call dist1Didx(bndy,idim,npy)
myny = bndy(iamy+1)-bndy(iamy)
! How many indices do I own?
nlr = mynx*myny
allocate(myidx(nlr))
! Now, let's generate the list of indices I own
nr = 0
do i=bndx(iamx),bndx(iamx+1)-1
do j=bndy(iamy),bndy(iamy+1)-1
nr = nr + 1
call ijk2idx(myidx(nr),i,j,idim,idim)
end do
end do
if (nr /= nlr) then
write(psb_err_unit,*) iam,iamx,iamy, 'Initialization error: NR vs NLR ',&
& nr,nlr,mynx,myny
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ctxt,desc_a,info,vl=myidx)
!
! Specify process topology
!
block
!
! Use adjcncy methods
!
integer(psb_mpk_), allocatable :: neighbours(:)
integer(psb_mpk_) :: cnt
logical, parameter :: debug_adj=.true.
if (debug_adj.and.(np > 1)) then
cnt = 0
allocate(neighbours(np))
if (iamx < npx-1) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx+1,iamy,npx,npy,base=0)
end if
if (iamy < npy-1) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy+1,npx,npy,base=0)
end if
if (iamx >0) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx-1,iamy,npx,npy,base=0)
end if
if (iamy >0) then
cnt = cnt + 1
call ijk2idx(neighbours(cnt),iamx,iamy-1,npx,npy,base=0)
end if
call psb_realloc(cnt, neighbours,info)
call desc_a%set_p_adjcncy(neighbours)
!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
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end select
if (info == psb_success_) call psb_spall(a,desc_a,info,nnz=nnz)
! define rhs from boundary conditions; also build initial guess
if (info == psb_success_) call psb_geall(xv,desc_a,info)
if (info == psb_success_) call psb_geall(bv,desc_a,info)
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,glob_row,idim,idim)
! x, y coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
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_) 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
tgen = psb_wtime()-t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='insert rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
deallocate(val,irow,icol)
call psb_barrier(ctxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info)
tcdasb = psb_wtime()-t1
call psb_barrier(ctxt)
t1 = psb_wtime()
if (info == psb_success_) then
if (present(amold)) then
call psb_spasb(a,desc_a,info,dupl=psb_dupl_err_,mold=amold)
else
call psb_spasb(a,desc_a,info,dupl=psb_dupl_err_,afmt=afmt)
end if
end if
call psb_barrier(ctxt)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (info == psb_success_) call psb_geasb(xv,desc_a,info,mold=vmold)
if (info == psb_success_) call psb_geasb(bv,desc_a,info,mold=vmold)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tasb = psb_wtime()-t1
call psb_barrier(ctxt)
ttot = psb_wtime() - t0
call psb_amx(ctxt,talc)
call psb_amx(ctxt,tgen)
call psb_amx(ctxt,tasb)
call psb_amx(ctxt,ttot)
if(iam == psb_root_) then
tmpfmt = a%get_fmt()
write(psb_out_unit,'("The matrix has been generated and assembled in ",a3," format.")')&
& tmpfmt
write(psb_out_unit,'("-allocation time : ",es12.5)') talc
write(psb_out_unit,'("-coeff. gen. time : ",es12.5)') tgen
write(psb_out_unit,'("-desc asbly time : ",es12.5)') tcdasb
write(psb_out_unit,'("- mat asbly time : ",es12.5)') tasb
write(psb_out_unit,'("-total time : ",es12.5)') ttot
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error(ctxt)
return
end if
return
end subroutine amg_d_gen_pde2d
end module amg_d_genpde_mod

@ -1,671 +0,0 @@
!
!
! 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_pde3d.f90
!
! Program: amg_d_pde3d
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs.
!
!
! The PDE is a general second order equation in 3d
!
! a1 dd(u) a2 dd(u) a3 dd(u) b1 d(u) b2 d(u) b3 d(u)
! - ------ - ------ - ------ + ----- + ------ + ------ + c u = f
! dxdx dydy dzdz dx dy dz
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit cube 0<=x,y,z<=1.
!
!
! Note that if b1=b2=b3=c=0., the PDE is the Laplace equation.
!
! There are three choices available for data distribution:
! 1. A simple BLOCK distribution
! 2. A ditribution based on arbitrary assignment of indices to processes,
! typically from a graph partitioner
! 3. A 3D distribution in which the unit cube is partitioned
! into subcubes, each one assigned to a process.
!
program amg_d_pde3d
use psb_base_mod
use amg_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_gpu_mod
use data_input
use amg_d_pde3d_base_mod
use amg_d_pde3d_exp_mod
use amg_d_pde3d_gauss_mod
use amg_d_genpde_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt, pdecoeff
integer(psb_ipk_) :: idim
integer(psb_epk_) :: system_size
! miscellaneous
real(psb_dpk_) :: t1, t2, tprec, thier, tslv
! sparse matrix and preconditioner
type(psb_dspmat_type) :: a
type(amg_dprec_type) :: prec
! GPU variables
type(psb_d_hlg_sparse_mat) :: agmold
type(psb_d_vect_gpu) :: vgmold
type(psb_i_vect_gpu) :: igmold
! descriptor
type(psb_desc_type) :: desc_a
! dense vectors
type(psb_d_vect_type) :: x,b,r
! parallel environment
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: iam, np
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst, nlv
integer(psb_epk_) :: amatsize, precsize, descsize
real(psb_dpk_) :: err, resmx, resmxp
! Krylov solver data
type solverdata
character(len=40) :: kmethd ! Krylov solver
integer(psb_ipk_) :: istopc ! stopping criterion
integer(psb_ipk_) :: itmax ! maximum number of iterations
integer(psb_ipk_) :: itrace ! tracing
integer(psb_ipk_) :: irst ! restart
real(psb_dpk_) :: eps ! stopping tolerance
end type solverdata
type(solverdata) :: s_choice
! preconditioner data
type precdata
! preconditioner type
character(len=40) :: descr ! verbose description of the prec
character(len=10) :: ptype ! preconditioner type
integer(psb_ipk_) :: outer_sweeps ! number of outer sweeps: sweeps for 1-level,
! AMG cycles for ML
! general AMG data
character(len=16) :: mlcycle ! AMG cycle type
integer(psb_ipk_) :: maxlevs ! maximum number of levels in AMG preconditioner
! AMG aggregation
character(len=16) :: aggr_prol ! aggregation type: SMOOTHED, NONSMOOTHED
character(len=16) :: par_aggr_alg ! parallel aggregation algorithm: DEC, SYMDEC
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
real(psb_dpk_), allocatable :: athresv(:) ! smoothed aggregation threshold vector
integer(psb_ipk_) :: thrvsz ! size of threshold vector
real(psb_dpk_) :: athres ! smoothed aggregation threshold
integer(psb_ipk_) :: csizepp ! minimum size of coarsest matrix per process
! AMG smoother or pre-smoother; also 1-lev preconditioner
character(len=16) :: smther ! (pre-)smoother type: BJAC, AS
integer(psb_ipk_) :: jsweeps ! (pre-)smoother / 1-lev prec. sweeps
integer(psb_ipk_) :: novr ! number of overlap layers
character(len=16) :: restr ! restriction over application of AS
character(len=16) :: prol ! prolongation over application of AS
character(len=16) :: solve ! local subsolver type: ILU, MILU, ILUT,
! UMF, MUMPS, SLU, FWGS, BWGS, JAC
character(len=16) :: variant ! AINV variant: LLK, etc
integer(psb_ipk_) :: fill ! fill-in for incomplete LU factorization
integer(psb_ipk_) :: invfill ! Inverse fill-in for INVK
real(psb_dpk_) :: thr ! threshold for ILUT factorization
! AMG post-smoother; ignored by 1-lev preconditioner
character(len=16) :: smther2 ! post-smoother type: BJAC, AS
integer(psb_ipk_) :: jsweeps2 ! post-smoother sweeps
integer(psb_ipk_) :: novr2 ! number of overlap layers
character(len=16) :: restr2 ! restriction over application of AS
character(len=16) :: prol2 ! prolongation over application of AS
character(len=16) :: solve2 ! local subsolver type: ILU, MILU, ILUT,
! UMF, MUMPS, SLU, FWGS, BWGS, JAC
character(len=16) :: variant2 ! AINV variant: LLK, etc
integer(psb_ipk_) :: fill2 ! fill-in for incomplete LU factorization
integer(psb_ipk_) :: invfill2 ! Inverse fill-in for INVK
real(psb_dpk_) :: thr2 ! threshold for ILUT factorization
! coarsest-level solver
character(len=16) :: cmat ! coarsest matrix layout: REPL, DIST
character(len=16) :: csolve ! coarsest-lev solver: BJAC, SLUDIST (distr.
! mat.); UMF, MUMPS, SLU, ILU, ILUT, MILU
! (repl. mat.)
character(len=16) :: csbsolve ! coarsest-lev local subsolver: ILU, ILUT,
! MILU, UMF, MUMPS, SLU
integer(psb_ipk_) :: cfill ! fill-in for incomplete LU factorization
real(psb_dpk_) :: cthres ! threshold for ILUT factorization
integer(psb_ipk_) :: cjswp ! sweeps for GS or JAC coarsest-lev subsolver
end type precdata
type(precdata) :: p_choice
! other variables
integer(psb_ipk_) :: info, i, k
character(len=20) :: name,ch_err
info=psb_success_
call psb_init(ctxt)
call psb_info(ctxt,iam,np)
!
! BEWARE: if you have NGPUS per node, the default is to
! attach to mod(IAM,NGPUS)
!
call psb_gpu_init(ictxt)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ctxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='amg_d_pde3d'
call psb_set_errverbosity(itwo)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to AMG4PSBLAS version: ',amg_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
write(*,*) 'Process ',iam,' running on device: ', psb_cuda_getDevice(),' out of', psb_cuda_getDeviceCount()
write(*,*) 'Process ',iam,' device ', psb_cuda_getDevice(),' is a: ', trim(psb_gpu_DeviceName())
!
! get parameters
!
call get_parms(ctxt,afmt,idim,s_choice,p_choice,pdecoeff)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ctxt)
t1 = psb_wtime()
select case(psb_toupper(trim(pdecoeff)))
case("CONST")
call amg_gen_pde3d(ctxt,idim,a,b,x,desc_a,afmt,&
& a1,a2,a3,b1,b2,b3,c,g,info)
case("EXP")
call amg_gen_pde3d(ctxt,idim,a,b,x,desc_a,afmt,&
& a1_exp,a2_exp,a3_exp,b1_exp,b2_exp,b3_exp,c_exp,g_exp,info)
case("GAUSS")
call amg_gen_pde3d(ctxt,idim,a,b,x,desc_a,afmt,&
& a1_gauss,a2_gauss,a3_gauss,b1_gauss,b2_gauss,b3_gauss,c_gauss,g_gauss,info)
case default
info=psb_err_from_subroutine_
ch_err='amg_gen_pdecoeff'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end select
call psb_barrier(ctxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='amg_gen_pde3d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) &
& write(psb_out_unit,'("PDE Coefficients : ",a)')pdecoeff
if (iam == psb_root_) &
& write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) &
& write(psb_out_unit,'(" ")')
!
! initialize the preconditioner
!
call prec%init(ctxt,p_choice%ptype,info)
select case(trim(psb_toupper(p_choice%ptype)))
case ('NONE','NOPREC')
! Do nothing, keep defaults
case ('JACOBI','L1-JACOBI','GS','FWGS','FBGS')
! 1-level sweeps from "outer_sweeps"
call prec%set('smoother_sweeps', p_choice%jsweeps, info)
case ('BJAC')
call prec%set('smoother_sweeps', p_choice%jsweeps, info)
call prec%set('sub_solve', p_choice%solve, info)
call prec%set('sub_fillin', p_choice%fill, info)
call prec%set('sub_iluthrs', p_choice%thr, info)
case('AS')
call prec%set('smoother_sweeps', p_choice%jsweeps, info)
call prec%set('sub_ovr', p_choice%novr, info)
call prec%set('sub_restr', p_choice%restr, info)
call prec%set('sub_prol', p_choice%prol, info)
call prec%set('sub_solve', p_choice%solve, info)
call prec%set('sub_fillin', p_choice%fill, info)
call prec%set('sub_iluthrs', p_choice%thr, info)
case ('ML')
! multilevel preconditioner
call prec%set('ml_cycle', p_choice%mlcycle, info)
call prec%set('outer_sweeps', p_choice%outer_sweeps,info)
if (p_choice%csizepp>0)&
& call prec%set('min_coarse_size_per_process', p_choice%csizepp, info)
if (p_choice%mncrratio>1)&
& call prec%set('min_cr_ratio', p_choice%mncrratio, info)
if (p_choice%maxlevs>0)&
& call prec%set('max_levs', p_choice%maxlevs, info)
if (p_choice%athres >= dzero) &
& call prec%set('aggr_thresh', p_choice%athres, info)
if (p_choice%thrvsz>0) then
do k=1,min(p_choice%thrvsz,size(prec%precv)-1)
call prec%set('aggr_thresh', p_choice%athresv(k), info,ilev=(k+1))
end do
end if
call prec%set('aggr_prol', p_choice%aggr_prol, info)
call prec%set('par_aggr_alg', p_choice%par_aggr_alg, info)
call prec%set('aggr_ord', p_choice%aggr_ord, info)
call prec%set('aggr_filter', p_choice%aggr_filter,info)
call prec%set('smoother_type', p_choice%smther, info)
call prec%set('smoother_sweeps', p_choice%jsweeps, info)
select case (psb_toupper(p_choice%smther))
case ('GS','BWGS','FBGS','JACOBI','L1-JACOBI','L1-FBGS')
! do nothing
case default
call prec%set('sub_ovr', p_choice%novr, info)
call prec%set('sub_restr', p_choice%restr, info)
call prec%set('sub_prol', p_choice%prol, info)
select case(trim(psb_toupper(p_choice%solve)))
case('INVK')
call prec%set('sub_solve', p_choice%solve, info)
case('INVT')
call prec%set('sub_solve', p_choice%solve, info)
case('AINV')
call prec%set('sub_solve', p_choice%solve, info)
call prec%set('ainv_alg', p_choice%variant, info)
case default
call prec%set('sub_solve', p_choice%solve, info)
end select
call prec%set('sub_fillin', p_choice%fill, info)
call prec%set('inv_fillin', p_choice%invfill, info)
call prec%set('sub_iluthrs', p_choice%thr, info)
end select
if (psb_toupper(p_choice%smther2) /= 'NONE') then
call prec%set('smoother_type', p_choice%smther2, info,pos='post')
call prec%set('smoother_sweeps', p_choice%jsweeps2, info,pos='post')
select case (psb_toupper(p_choice%smther2))
case ('GS','BWGS','FBGS','JACOBI','L1-JACOBI','L1-FBGS')
! do nothing
case default
call prec%set('sub_ovr', p_choice%novr2, info,pos='post')
call prec%set('sub_restr', p_choice%restr2, info,pos='post')
call prec%set('sub_prol', p_choice%prol2, info,pos='post')
select case(trim(psb_toupper(p_choice%solve2)))
case('INVK')
call prec%set('sub_solve', p_choice%solve, info)
case('INVT')
call prec%set('sub_solve', p_choice%solve, info)
case('AINV')
call prec%set('sub_solve', p_choice%solve, info)
call prec%set('ainv_alg', p_choice%variant, info)
case default
call prec%set('sub_solve', p_choice%solve2, info, pos='post')
end select
call prec%set('sub_fillin', p_choice%fill2, info,pos='post')
call prec%set('inv_fillin', p_choice%invfill2, info,pos='post')
call prec%set('sub_iluthrs', p_choice%thr2, info,pos='post')
end select
end if
call prec%set('coarse_solve', p_choice%csolve, info)
if (psb_toupper(p_choice%csolve) == 'BJAC') &
& call prec%set('coarse_subsolve', p_choice%csbsolve, info)
call prec%set('coarse_mat', p_choice%cmat, info)
call prec%set('coarse_fillin', p_choice%cfill, info)
call prec%set('coarse_iluthrs', p_choice%cthres, info)
call prec%set('coarse_sweeps', p_choice%cjswp, info)
end select
! build the preconditioner
call psb_barrier(ctxt)
t1 = psb_wtime()
call prec%hierarchy_build(a,desc_a,info)
thier = psb_wtime()-t1
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_hierarchy_bld')
goto 9999
end if
call psb_barrier(ctxt)
t1 = psb_wtime()
call prec%smoothers_build(a,desc_a,info, amold=agmold, vmold=vgmold, imold=igmold)
tprec = psb_wtime()-t1
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='amg_smoothers_bld')
goto 9999
end if
call psb_amx(ctxt, thier)
call psb_amx(ctxt, tprec)
if(iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Preconditioner: ",a)') trim(p_choice%descr)
write(psb_out_unit,'("Preconditioner time: ",es12.5)')thier+tprec
write(psb_out_unit,'(" ")')
end if
call desc_a%cnv(mold=igmold)
call a%cscnv(info,mold=agmold)
call psb_geasb(x,desc_a,info,mold=vgmold)
call psb_geasb(b,desc_a,info,mold=vgmold)
!
! iterative method parameters
!
call psb_barrier(ctxt)
call prec%allocate_wrk(info)
t1 = psb_wtime()
call psb_krylov(s_choice%kmethd,a,prec,b,x,s_choice%eps,&
& desc_a,info,itmax=s_choice%itmax,iter=iter,err=err,itrace=s_choice%itrace,&
& istop=s_choice%istopc,irst=s_choice%irst)
call prec%deallocate_wrk(info)
call psb_barrier(ctxt)
tslv = psb_wtime() - t1
call psb_amx(ctxt,tslv)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='solver routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call psb_barrier(ctxt)
tslv = psb_wtime() - t1
call psb_amx(ctxt,tslv)
! compute residual norms
call psb_geall(r,desc_a,info)
call r%zero()
call psb_geasb(r,desc_a,info)
call psb_geaxpby(done,b,dzero,r,desc_a,info)
call psb_spmm(-done,a,x,done,r,desc_a,info)
resmx = psb_genrm2(r,desc_a,info)
resmxp = psb_geamax(r,desc_a,info)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
system_size = desc_a%get_global_rows()
call psb_sum(ctxt,amatsize)
call psb_sum(ctxt,descsize)
call psb_sum(ctxt,precsize)
call prec%descr(iout=psb_out_unit)
if (iam == psb_root_) then
write(psb_out_unit,'("Computed solution on ",i8," processors")') 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)
write(psb_out_unit,'("Preconditioner : ",a)') trim(p_choice%descr)
write(psb_out_unit,'("Iterations to convergence : ",i12)') iter
write(psb_out_unit,'("Relative error estimate on exit : ",es12.5)') err
write(psb_out_unit,'("Number of levels in hierarchy : ",i12)') prec%get_nlevs()
write(psb_out_unit,'("Time to build hierarchy : ",es12.5)') thier
write(psb_out_unit,'("Time to build smoothers : ",es12.5)') tprec
write(psb_out_unit,'("Total time for preconditioner : ",es12.5)') tprec+thier
write(psb_out_unit,'("Time to solve system : ",es12.5)') tslv
write(psb_out_unit,'("Time per iteration : ",es12.5)') tslv/iter
write(psb_out_unit,'("Total time : ",es12.5)') tslv+tprec+thier
write(psb_out_unit,'("Residual 2-norm : ",es12.5)') resmx
write(psb_out_unit,'("Residual inf-norm : ",es12.5)') resmxp
write(psb_out_unit,'("Total memory occupation for A : ",i12)') amatsize
write(psb_out_unit,'("Total memory occupation for DESC_A : ",i12)') descsize
write(psb_out_unit,'("Total memory occupation for PREC : ",i12)') precsize
write(psb_out_unit,'("Storage format for A : ",a )') a%get_fmt()
write(psb_out_unit,'("Storage format for DESC_A : ",a )') desc_a%get_fmt()
end if
!
! cleanup storage and exit
!
call psb_gefree(b,desc_a,info)
call psb_gefree(x,desc_a,info)
call psb_spfree(a,desc_a,info)
call prec%free(info)
call psb_cdfree(desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='free routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call psb_gpu_exit()
call psb_exit(ctxt)
stop
9999 continue
call psb_error(ctxt)
contains
!
! get iteration parameters from standard input
!
!
! get iteration parameters from standard input
!
subroutine get_parms(ctxt,afmt,idim,solve,prec,pdecoeff)
implicit none
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: idim
character(len=*) :: afmt
type(solverdata) :: solve
type(precdata) :: prec
character(len=*) :: pdecoeff
integer(psb_ipk_) :: iam, nm, np, inp_unit
character(len=1024) :: filename
call psb_info(ctxt,iam,np)
if (iam == psb_root_) then
if (command_argument_count()>0) then
call get_command_argument(1,filename)
inp_unit = 30
open(inp_unit,file=filename,action='read',iostat=info)
if (info /= 0) then
write(psb_err_unit,*) 'Could not open file ',filename,' for input'
call psb_abort(ctxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
! read input data
!
call read_data(afmt,inp_unit) ! matrix storage format
call read_data(idim,inp_unit) ! Discretization grid size
call read_data(pdecoeff,inp_unit) ! PDE Coefficients
! Krylov solver data
call read_data(solve%kmethd,inp_unit) ! Krylov solver
call read_data(solve%istopc,inp_unit) ! stopping criterion
call read_data(solve%itmax,inp_unit) ! max num iterations
call read_data(solve%itrace,inp_unit) ! tracing
call read_data(solve%irst,inp_unit) ! restart
call read_data(solve%eps,inp_unit) ! tolerance
! preconditioner type
call read_data(prec%descr,inp_unit) ! verbose description of the prec
call read_data(prec%ptype,inp_unit) ! preconditioner type
! First smoother / 1-lev preconditioner
call read_data(prec%smther,inp_unit) ! smoother type
call read_data(prec%jsweeps,inp_unit) ! (pre-)smoother / 1-lev prec sweeps
call read_data(prec%novr,inp_unit) ! number of overlap layers
call read_data(prec%restr,inp_unit) ! restriction over application of AS
call read_data(prec%prol,inp_unit) ! prolongation over application of AS
call read_data(prec%solve,inp_unit) ! local subsolver
call read_data(prec%variant,inp_unit) ! AINV variant
call read_data(prec%fill,inp_unit) ! fill-in for incomplete LU
call read_data(prec%invfill,inp_unit) !Inverse fill-in for INVK
call read_data(prec%thr,inp_unit) ! threshold for ILUT
! Second smoother/ AMG post-smoother (if NONE ignored in main)
call read_data(prec%smther2,inp_unit) ! smoother type
call read_data(prec%jsweeps2,inp_unit) ! (post-)smoother sweeps
call read_data(prec%novr2,inp_unit) ! number of overlap layers
call read_data(prec%restr2,inp_unit) ! restriction over application of AS
call read_data(prec%prol2,inp_unit) ! prolongation over application of AS
call read_data(prec%solve2,inp_unit) ! local subsolver
call read_data(prec%variant2,inp_unit) ! AINV variant
call read_data(prec%fill2,inp_unit) ! fill-in for incomplete LU
call read_data(prec%invfill2,inp_unit) !Inverse fill-in for INVK
call read_data(prec%thr2,inp_unit) ! threshold for ILUT
! general AMG data
call read_data(prec%mlcycle,inp_unit) ! AMG cycle type
call read_data(prec%outer_sweeps,inp_unit) ! number of 1lev/outer sweeps
call read_data(prec%maxlevs,inp_unit) ! max number of levels in AMG prec
call read_data(prec%csizepp,inp_unit) ! min size coarsest mat
! aggregation
call read_data(prec%aggr_prol,inp_unit) ! aggregation type
call read_data(prec%par_aggr_alg,inp_unit) ! parallel aggregation alg
call read_data(prec%aggr_ord,inp_unit) ! ordering for aggregation
call read_data(prec%aggr_filter,inp_unit) ! filtering
call read_data(prec%mncrratio,inp_unit) ! minimum aggregation ratio
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)
call read_data(prec%athresv,inp_unit) ! aggr thresh vector
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
call read_data(prec%cmat,inp_unit) ! coarsest mat layout
call read_data(prec%cfill,inp_unit) ! fill-in for incompl LU
call read_data(prec%cthres,inp_unit) ! Threshold for ILUT
call read_data(prec%cjswp,inp_unit) ! sweeps for GS/JAC subsolver
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
call psb_bcast(ctxt,afmt)
call psb_bcast(ctxt,idim)
call psb_bcast(ctxt,pdecoeff)
call psb_bcast(ctxt,solve%kmethd)
call psb_bcast(ctxt,solve%istopc)
call psb_bcast(ctxt,solve%itmax)
call psb_bcast(ctxt,solve%itrace)
call psb_bcast(ctxt,solve%irst)
call psb_bcast(ctxt,solve%eps)
call psb_bcast(ctxt,prec%descr)
call psb_bcast(ctxt,prec%ptype)
! broadcast first (pre-)smoother / 1-lev prec data
call psb_bcast(ctxt,prec%smther)
call psb_bcast(ctxt,prec%jsweeps)
call psb_bcast(ctxt,prec%novr)
call psb_bcast(ctxt,prec%restr)
call psb_bcast(ctxt,prec%prol)
call psb_bcast(ctxt,prec%solve)
call psb_bcast(ctxt,prec%variant)
call psb_bcast(ctxt,prec%fill)
call psb_bcast(ctxt,prec%invfill)
call psb_bcast(ctxt,prec%thr)
! broadcast second (post-)smoother
call psb_bcast(ctxt,prec%smther2)
call psb_bcast(ctxt,prec%jsweeps2)
call psb_bcast(ctxt,prec%novr2)
call psb_bcast(ctxt,prec%restr2)
call psb_bcast(ctxt,prec%prol2)
call psb_bcast(ctxt,prec%solve2)
call psb_bcast(ctxt,prec%variant2)
call psb_bcast(ctxt,prec%fill2)
call psb_bcast(ctxt,prec%invfill2)
call psb_bcast(ctxt,prec%thr2)
! broadcast AMG parameters
call psb_bcast(ctxt,prec%mlcycle)
call psb_bcast(ctxt,prec%outer_sweeps)
call psb_bcast(ctxt,prec%maxlevs)
call psb_bcast(ctxt,prec%aggr_prol)
call psb_bcast(ctxt,prec%par_aggr_alg)
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%thrvsz)
if (prec%thrvsz > 0) then
if (iam /= psb_root_) call psb_realloc(prec%thrvsz,prec%athresv,info)
call psb_bcast(ctxt,prec%athresv)
end if
call psb_bcast(ctxt,prec%athres)
call psb_bcast(ctxt,prec%csizepp)
call psb_bcast(ctxt,prec%cmat)
call psb_bcast(ctxt,prec%csolve)
call psb_bcast(ctxt,prec%csbsolve)
call psb_bcast(ctxt,prec%cfill)
call psb_bcast(ctxt,prec%cthres)
call psb_bcast(ctxt,prec%cjswp)
end subroutine get_parms
end program amg_d_pde3d

@ -1,65 +0,0 @@
module amg_d_pde3d_base_mod
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_), save, private :: epsilon=done/80
contains
subroutine pde_set_parm(dat)
real(psb_dpk_), intent(in) :: dat
epsilon = dat
end subroutine pde_set_parm
!
! functions parametrizing the differential equation
!
function b1(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b1
real(psb_dpk_), intent(in) :: x,y,z
b1=done/sqrt(3.0_psb_dpk_)
end function b1
function b2(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b2
real(psb_dpk_), intent(in) :: x,y,z
b2=done/sqrt(3.0_psb_dpk_)
end function b2
function b3(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b3
real(psb_dpk_), intent(in) :: x,y,z
b3=done/sqrt(3.0_psb_dpk_)
end function b3
function c(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: c
real(psb_dpk_), intent(in) :: x,y,z
c=dzero
end function c
function a1(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a1
real(psb_dpk_), intent(in) :: x,y,z
a1=epsilon
end function a1
function a2(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a2
real(psb_dpk_), intent(in) :: x,y,z
a2=epsilon
end function a2
function a3(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a3
real(psb_dpk_), intent(in) :: x,y,z
a3=epsilon
end function a3
function g(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
real(psb_dpk_) :: g
real(psb_dpk_), intent(in) :: x,y,z
g = dzero
if (x == done) then
g = done
else if (x == dzero) then
g = done
end if
end function g
end module amg_d_pde3d_base_mod

@ -1,65 +0,0 @@
module amg_d_pde3d_exp_mod
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_), save, private :: epsilon=done/160
contains
subroutine pde_set_parm(dat)
real(psb_dpk_), intent(in) :: dat
epsilon = dat
end subroutine pde_set_parm
!
! functions parametrizing the differential equation
!
function b1_exp(x,y,z)
use psb_base_mod, only : psb_dpk_, dzero
real(psb_dpk_) :: b1_exp
real(psb_dpk_), intent(in) :: x,y,z
b1_exp=dzero/sqrt(3.0_psb_dpk_)
end function b1_exp
function b2_exp(x,y,z)
use psb_base_mod, only : psb_dpk_, dzero
real(psb_dpk_) :: b2_exp
real(psb_dpk_), intent(in) :: x,y,z
b2_exp=dzero/sqrt(3.0_psb_dpk_)
end function b2_exp
function b3_exp(x,y,z)
use psb_base_mod, only : psb_dpk_, dzero
real(psb_dpk_) :: b3_exp
real(psb_dpk_), intent(in) :: x,y,z
b3_exp=dzero/sqrt(3.0_psb_dpk_)
end function b3_exp
function c_exp(x,y,z)
use psb_base_mod, only : psb_dpk_, dzero
real(psb_dpk_) :: c_exp
real(psb_dpk_), intent(in) :: x,y,z
c_exp=dzero
end function c_exp
function a1_exp(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a1_exp
real(psb_dpk_), intent(in) :: x,y,z
a1_exp=epsilon*exp(-(x+y+z))
end function a1_exp
function a2_exp(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a2_exp
real(psb_dpk_), intent(in) :: x,y,z
a2_exp=epsilon*exp(-(x+y+z))
end function a2_exp
function a3_exp(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a3_exp
real(psb_dpk_), intent(in) :: x,y,z
a3_exp=epsilon*exp(-(x+y+z))
end function a3_exp
function g_exp(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
real(psb_dpk_) :: g_exp
real(psb_dpk_), intent(in) :: x,y,z
g_exp = dzero
if (x == done) then
g_exp = done
else if (x == dzero) then
g_exp = done
end if
end function g_exp
end module amg_d_pde3d_exp_mod

@ -1,65 +0,0 @@
module amg_d_pde3d_gauss_mod
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_), save, private :: epsilon=done/80
contains
subroutine pde_set_parm(dat)
real(psb_dpk_), intent(in) :: dat
epsilon = dat
end subroutine pde_set_parm
!
! functions parametrizing the differential equation
!
function b1_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b1_gauss
real(psb_dpk_), intent(in) :: x,y,z
b1_gauss=done/sqrt(3.0_psb_dpk_)-2*x*exp(-(x**2+y**2+z**2))
end function b1_gauss
function b2_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b2_gauss
real(psb_dpk_), intent(in) :: x,y,z
b2_gauss=done/sqrt(3.0_psb_dpk_)-2*y*exp(-(x**2+y**2+z**2))
end function b2_gauss
function b3_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_, done
real(psb_dpk_) :: b3_gauss
real(psb_dpk_), intent(in) :: x,y,z
b3_gauss=done/sqrt(3.0_psb_dpk_)-2*z*exp(-(x**2+y**2+z**2))
end function b3_gauss
function c_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_, dzero
real(psb_dpk_) :: c_gauss
real(psb_dpk_), intent(in) :: x,y,z
c=dzero
end function c_gauss
function a1_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a1_gauss
real(psb_dpk_), intent(in) :: x,y,z
a1_gauss=epsilon*exp(-(x**2+y**2+z**2))
end function a1_gauss
function a2_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a2_gauss
real(psb_dpk_), intent(in) :: x,y,z
a2_gauss=epsilon*exp(-(x**2+y**2+z**2))
end function a2_gauss
function a3_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a3_gauss
real(psb_dpk_), intent(in) :: x,y,z
a3_gauss=epsilon*exp(-(x**2+y**2+z**2))
end function a3_gauss
function g_gauss(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
real(psb_dpk_) :: g_gauss
real(psb_dpk_), intent(in) :: x,y,z
g_gauss = dzero
if (x == done) then
g_gauss = done
else if (x == dzero) then
g_gauss = done
end if
end function g_gauss
end module amg_d_pde3d_gauss_mod

@ -1,55 +0,0 @@
%%%%%%%%%%% General arguments % Lines starting with % are ignored.
CSR ! Storage format CSR COO JAD
0080 ! IDIM; domain size. Linear system size is IDIM**3
CONST ! PDECOEFF: CONST, EXP, GAUSS Coefficients of the PDE
FCG ! 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) %%%%%%%%%%%%%%%%
BJAC ! 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
DEC ! Parallel aggregation: DEC, SYMDEC
NATURAL ! Ordering of aggregation NATURAL DEGREE
NOFILTER ! Filtering of matrix: FILTER NOFILTER
-1.5 ! Coarsening ratio, if < 0 use library default
-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
INVK ! 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
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