New data structure SCSR.

New test program
scsr
Salvatore Filippone 8 years ago
parent 663fa5b8e5
commit a2600d7a7f

@ -0,0 +1,50 @@
INSTALLDIR=../..
INCDIR=$(INSTALLDIR)/include
MODDIR=$(INSTALLDIR)/modules/
include $(INCDIR)/Make.inc.psblas
#
# Libraries used
LIBDIR=$(INSTALLDIR)/lib
PSBLAS_LIB= -L$(LIBDIR) -lpsb_util -lpsb_krylov -lpsb_prec -lpsb_base
LDLIBS=$(PSBLDLIBS)
#
# Compilers and such
#
CCOPT= -g
FINCLUDES=$(FMFLAG)$(MODDIR) $(FMFLAG).
EXEDIR=./runs
all: psb_d_pde3d psb_s_pde3d psb_d_pde2d psb_s_pde2d
psb_d_pde3d.o: psb_d_scsr_mat_mod.o
psb_d_pde3d: psb_d_pde3d.o psb_d_scsr_mat_mod.o psb_d_scsr_impl.o
$(FLINK) psb_d_pde3d.o psb_d_scsr_mat_mod.o psb_d_scsr_impl.o -o psb_d_pde3d $(PSBLAS_LIB) $(LDLIBS)
/bin/mv psb_d_pde3d $(EXEDIR)
psb_s_pde3d: psb_s_pde3d.o
$(FLINK) psb_s_pde3d.o -o psb_s_pde3d $(PSBLAS_LIB) $(LDLIBS)
/bin/mv psb_s_pde3d $(EXEDIR)
psb_d_pde2d: psb_d_pde2d.o
$(FLINK) psb_d_pde2d.o -o psb_d_pde2d $(PSBLAS_LIB) $(LDLIBS)
/bin/mv psb_d_pde2d $(EXEDIR)
psb_s_pde2d: psb_s_pde2d.o
$(FLINK) psb_s_pde2d.o -o psb_s_pde2d $(PSBLAS_LIB) $(LDLIBS)
/bin/mv psb_s_pde2d $(EXEDIR)
clean:
/bin/rm -f psb_d_pde3d.o psb_s_pde3d.o psb_d_pde2d.o psb_s_pde2d.o *$(.mod) \
$(EXEDIR)/psb_d_pde3d $(EXEDIR)/psb_s_pde3d $(EXEDIR)/psb_d_pde2d $(EXEDIR)/psb_s_pde2d
verycleanlib:
(cd ../..; make veryclean)
lib:
(cd ../../; make library)

@ -0,0 +1,807 @@
!
! Parallel Sparse BLAS version 3.5
! (C) Copyright 2006-2018
! Salvatore Filippone
! Alfredo Buttari
!
! 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 PSBLAS 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 PSBLAS 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: psb_d_pde2d.f90
!
! Program: psb_d_pde2d
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs.
!
!
! The PDE is a general second order equation in 2d
!
! a1 dd(u) a2 dd(u) b1 d(u) b2 d(u)
! - ------ - ------ ----- + ------ + c u = f
! dxdx dydy 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.
!
! 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 2D distribution in which the unit square is partitioned
! into rectangles, each one assigned to a process.
!
module psb_d_pde2d_mod
use psb_base_mod, only : psb_dpk_, psb_ipk_, psb_desc_type,&
& psb_dspmat_type, psb_d_vect_type, dzero,&
& psb_d_base_sparse_mat, psb_d_base_vect_type, psb_i_base_vect_type
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 psb_gen_pde2d
module procedure psb_d_gen_pde2d
end interface psb_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
!
! functions parametrizing the differential equation
!
!
! Note: b1 and b2 are the coefficients of the first
! derivative of the unknown function. The default
! we apply here is to have them zero, so that the resulting
! matrix is symmetric/hermitian and suitable for
! testing with CG and FCG.
! When testing methods for non-hermitian matrices you can
! change the B1/B2 functions to e.g. done/sqrt((2*done))
!
function b1(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: b1
real(psb_dpk_), intent(in) :: x,y
b1=dzero
end function b1
function b2(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: b2
real(psb_dpk_), intent(in) :: x,y
b2=dzero
end function b2
function c(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: c
real(psb_dpk_), intent(in) :: x,y
c=0.d0
end function c
function a1(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: a1
real(psb_dpk_), intent(in) :: x,y
a1=done/80
end function a1
function a2(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: a2
real(psb_dpk_), intent(in) :: x,y
a2=done/80
end function a2
function g(x,y)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: g
real(psb_dpk_), intent(in) :: x,y
g = dzero
if (x == done) then
g = done
else if (x == dzero) then
g = exp(-y**2)
end if
end function g
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine psb_d_gen_pde2d(ictxt,idim,a,bv,xv,desc_a,afmt,info,&
& f,amold,vmold,imold,partition,nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! a1 dd(u) a2 dd(u) b1 d(u) b2 d(u)
! - ------ - ------ + ----- + ------ + c u = f
! dxdx dydy 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
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_) :: ictxt, info
character(len=*) :: afmt
procedure(d_func_2d), optional :: f
class(psb_d_base_sparse_mat), optional :: amold
class(psb_d_base_vect_type), optional :: vmold
class(psb_i_base_vect_type), optional :: imold
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
integer(psb_ipk_) :: m,n,nnz,nr,nt,glob_row,nlr,i,j,ii,ib,k, partition_
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
! For 2D partition
integer(psb_ipk_) :: npx,npy,npdims(2),iamx,iamy,mynx,myny
integer(psb_ipk_), allocatable :: bndx(:),bndy(:)
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_ipk_), 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_2d), pointer :: f_
character(len=20) :: name, ch_err,tmpfmt
info = psb_success_
name = 'create_matrix'
call psb_erractionsave(err_act)
call psb_info(ictxt, 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*done)* 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 = idim*idim
n = m
nnz = ((n*7)/(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(ictxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ictxt,desc_a,info,vl=myidx)
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
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(ictxt)
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(ictxt)
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(ictxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info,mold=imold)
tcdasb = psb_wtime()-t1
call psb_barrier(ictxt)
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(ictxt)
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(ictxt)
ttot = psb_wtime() - t0
call psb_amx(ictxt,talc)
call psb_amx(ictxt,tgen)
call psb_amx(ictxt,tasb)
call psb_amx(ictxt,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(ictxt,err_act)
return
end subroutine psb_d_gen_pde2d
end module psb_d_pde2d_mod
program psb_d_pde2d
use psb_base_mod
use psb_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_d_pde2d_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer(psb_ipk_) :: idim
! miscellaneous
real(psb_dpk_), parameter :: one = done
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_dspmat_type) :: a
type(psb_dprec_type) :: prec
! descriptor
type(psb_desc_type) :: desc_a
! dense vectors
type(psb_d_vect_type) :: xxv,bv
! parallel environment
integer(psb_ipk_) :: ictxt, iam, np
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst
integer(psb_long_int_k_) :: amatsize, precsize, descsize, d2size
real(psb_dpk_) :: err, eps
! other variables
integer(psb_ipk_) :: info, i
character(len=20) :: name,ch_err
character(len=40) :: fname
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde2d90'
call psb_set_errverbosity(itwo)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to PSBLAS version: ',psb_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde2d(ictxt,idim,a,bv,xxv,desc_a,afmt,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_gen_pde2d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) write(psb_out_unit,'(" ")')
!
! prepare the preconditioner.
!
if(iam == psb_root_) write(psb_out_unit,'("Setting preconditioner to : ",a)')ptype
call prec%init(ptype,info)
call psb_barrier(ictxt)
t1 = psb_wtime()
call prec%build(a,desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_precbld'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tprec = psb_wtime()-t1
call psb_amx(ictxt,tprec)
if (iam == psb_root_) write(psb_out_unit,'("Preconditioner time : ",es12.5)')tprec
if (iam == psb_root_) write(psb_out_unit,'(" ")')
call prec%descr()
!
! iterative method parameters
!
if(iam == psb_root_) write(psb_out_unit,'("Calling iterative method ",a)')kmethd
call psb_barrier(ictxt)
t1 = psb_wtime()
eps = 1.d-6
call psb_krylov(kmethd,a,prec,bv,xxv,eps,desc_a,info,&
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
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(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Number of processes : ",i0)')np
write(psb_out_unit,'("Time to solve system : ",es12.5)')t2
write(psb_out_unit,'("Time per iteration : ",es12.5)')t2/iter
write(psb_out_unit,'("Number of iterations : ",i0)')iter
write(psb_out_unit,'("Convergence indicator on exit : ",es12.5)')err
write(psb_out_unit,'("Info on exit : ",i0)')info
write(psb_out_unit,'("Total memory occupation for A: ",i12)')amatsize
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)')precsize
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)')descsize
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(bv,desc_a,info)
call psb_gefree(xxv,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_exit(ictxt)
stop
9999 call psb_error(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
integer(psb_ipk_) :: ictxt
character(len=*) :: kmethd, ptype, afmt
integer(psb_ipk_) :: idim, istopc,itmax,itrace,irst
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: ip, inp_unit
character(len=1024) :: filename
call psb_info(ictxt, iam, np)
if (iam == 0) 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(ictxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
read(inp_unit,*) ip
if (ip >= 3) then
read(inp_unit,*) kmethd
read(inp_unit,*) ptype
read(inp_unit,*) afmt
read(inp_unit,*) idim
if (ip >= 4) then
read(inp_unit,*) istopc
else
istopc=1
endif
if (ip >= 5) then
read(inp_unit,*) itmax
else
itmax=500
endif
if (ip >= 6) then
read(inp_unit,*) itrace
else
itrace=-1
endif
if (ip >= 7) then
read(inp_unit,*) irst
else
irst=1
endif
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,'("Grid dimensions : ",i5," x ",i5)')idim,idim
write(psb_out_unit,'("Number of processors : ",i0)')np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') ptype
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
else
! wrong number of parameter, print an error message and exit
call pr_usage(izero)
call psb_abort(ictxt)
stop 1
endif
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,ptype)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer(psb_ipk_) :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde2d90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
end program psb_d_pde2d

@ -0,0 +1,873 @@
!
! Parallel Sparse BLAS version 3.5
! (C) Copyright 2006-2018
! Salvatore Filippone
! Alfredo Buttari
!
! 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 PSBLAS 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 PSBLAS 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: psb_d_pde3d.f90
!
! Program: psb_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.
!
!
module psb_d_pde3d_mod
use psb_base_mod, only : psb_dpk_, psb_ipk_, psb_desc_type,&
& psb_dspmat_type, psb_d_vect_type, dzero,&
& 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 psb_gen_pde3d
module procedure psb_d_gen_pde3d
end interface psb_gen_pde3d
contains
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
!
! functions parametrizing the differential equation
!
!
! Note: b1, b2 and b3 are the coefficients of the first
! derivative of the unknown function. The default
! we apply here is to have them zero, so that the resulting
! matrix is symmetric/hermitian and suitable for
! testing with CG and FCG.
! When testing methods for non-hermitian matrices you can
! change the B1/B2/B3 functions to e.g. done/sqrt((3*done))
!
function b1(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: b1
real(psb_dpk_), intent(in) :: x,y,z
b1=dzero
end function b1
function b2(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: b2
real(psb_dpk_), intent(in) :: x,y,z
b2=dzero
end function b2
function b3(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: b3
real(psb_dpk_), intent(in) :: x,y,z
b3=dzero
end function b3
function c(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
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_, done, dzero
implicit none
real(psb_dpk_) :: a1
real(psb_dpk_), intent(in) :: x,y,z
a1=done/80
end function a1
function a2(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: a2
real(psb_dpk_), intent(in) :: x,y,z
a2=done/80
end function a2
function a3(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
real(psb_dpk_) :: a3
real(psb_dpk_), intent(in) :: x,y,z
a3=done/80
end function a3
function g(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
implicit none
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 = exp(y**2-z**2)
end if
end function g
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine psb_d_gen_pde3d(ictxt,idim,a,bv,xv,desc_a,afmt,info,&
& f,amold,vmold,imold,partition,nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! 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.
!
implicit none
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_) :: ictxt, info
character(len=*) :: afmt
procedure(d_func_3d), optional :: f
class(psb_d_base_sparse_mat), optional :: amold
class(psb_d_base_vect_type), optional :: vmold
class(psb_i_base_vect_type), optional :: imold
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
integer(psb_ipk_) :: m,n,nnz,nr,nt,glob_row,nlr,i,j,ii,ib,k, partition_
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
! For 3D partition
integer(psb_ipk_) :: npx,npy,npz, npdims(3),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_ipk_), 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 = 'create_matrix'
call psb_erractionsave(err_act)
call psb_info(ictxt, iam, np)
if (present(f)) then
f_ => f
else
f_ => d_null_func_3d
end if
deltah = done/(idim+2)
sqdeltah = deltah*deltah
deltah2 = (2*done)* 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 = idim*idim*idim
n = m
nnz = ((n*7)/(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(ictxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ictxt,desc_a,info,vl=myidx)
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
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(ictxt)
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(ictxt)
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(ictxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info,mold=imold)
tcdasb = psb_wtime()-t1
call psb_barrier(ictxt)
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(ictxt)
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(ictxt)
ttot = psb_wtime() - t0
call psb_amx(ictxt,talc)
call psb_amx(ictxt,tgen)
call psb_amx(ictxt,tasb)
call psb_amx(ictxt,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(ictxt,err_act)
return
end subroutine psb_d_gen_pde3d
end module psb_d_pde3d_mod
program psb_d_pde3d
use psb_base_mod
use psb_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_d_pde3d_mod
use psb_d_scsr_mat_mod
use psi_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer(psb_ipk_) :: idim
! miscellaneous
real(psb_dpk_), parameter :: one = done
real(psb_dpk_) :: t1, t2, tprec, tt, tt1, tt2, flops, tflops, bdwdth
! sparse matrix and preconditioner
type(psb_dspmat_type) :: a, ad, and
type(psb_dprec_type) :: prec
type(psb_d_csr_sparse_mat) :: acsr
type(psb_d_scsr_sparse_mat) :: ascsr
! descriptor
type(psb_desc_type) :: desc_a
! dense vectors
type(psb_d_vect_type) :: xv,bv, vtst
real(psb_dpk_), allocatable :: tst(:)
! parallel environment
integer(psb_ipk_) :: ictxt, iam, np
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst, annz, i, nr, nrl
integer(psb_long_int_k_) :: amatsize, precsize, descsize, d2size, nbytes
real(psb_dpk_) :: err, eps,work(1)
! other variables
integer(psb_ipk_) :: info
character(len=20) :: name,ch_err
character(len=40) :: fname
integer(psb_ipk_), parameter :: times=20
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde3d90'
call psb_set_errverbosity(itwo)
call psb_cd_set_large_threshold(itwo)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to PSBLAS version: ',psb_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde3d(ictxt,idim,a,bv,xv,desc_a,afmt,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_gen_pde3d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) write(psb_out_unit,'(" ")')
call xv%set(done)
nrl = a%get_nrows()
call a%csclip(ad,info,jmax=nrl)
call ad%cscnv(info, mold=acsr)
call a%csclip(and,info,jmin=nrl+1)
call and%mv_to(ascsr)
write(*,*) iam,' ND:',nrl,ascsr%nnerws
call and%mv_from(ascsr)
call psb_barrier(ictxt)
t1 = psb_wtime()
!
! Perform Ax multiple times to compute average performance
!
do i=1,times
call psb_spmm(done,a,xv,dzero,bv,desc_a,info,'n')
end do
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
! FIXME: cache flush needed here
call psb_barrier(ictxt)
tt1 = psb_wtime()
!
! Perform
!
do i=1,times
call psi_swapdata(psb_swap_send_,&
& dzero,xv%v,desc_a,work,info,data=psb_comm_halo_)
call psb_csmm(done,ad,xv,dzero,bv,info)
call psi_swapdata(psb_swap_recv_,&
& dzero,xv%v,desc_a,work,info,data=psb_comm_halo_)
call psb_csmm(done,and,xv,done,bv,info)
end do
call psb_barrier(ictxt)
tt2 = psb_wtime() - tt1
call psb_amx(ictxt,tt2)
call psb_amx(ictxt,t2)
nr = desc_a%get_global_rows()
annz = a%get_nzeros()
amatsize = a%sizeof()
descsize = psb_sizeof(desc_a)
call psb_sum(ictxt,annz)
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
if (iam == psb_root_) then
flops = 2.d0*times*annz
tflops=flops
write(psb_out_unit,'("Matrix: ell1 ",i0)') idim
write(psb_out_unit,'("Test on : ",i20," processors")') np
write(psb_out_unit,'("Size of matrix : ",i20," ")') nr
write(psb_out_unit,'("Number of nonzeros : ",i20," ")') annz
write(psb_out_unit,'("Memory occupation : ",i20," ")') amatsize
write(psb_out_unit,'("Number of flops (",i0," prod) : ",F20.0," ")') times,flops
flops = flops / (t2)
tflops = tflops / (tt2)
write(psb_out_unit,'("Time for ",i0," products (s) : ",F20.3)')times, t2
write(psb_out_unit,'("Time per product (ms) : ",F20.3)') t2*1.d3/(1.d0*times)
write(psb_out_unit,'("MFLOPS : ",F20.3)') flops/1.d6
write(psb_out_unit,'("Time for ",i0," products (s) (2step.): ",F20.3)') times,tt2
write(psb_out_unit,'("Time per product (ms) (2step.): ",F20.3)') tt2*1.d3/(1.d0*times)
write(psb_out_unit,'("MFLOPS (2step.): ",F20.3)') tflops/1.d6
!
! This computation is valid for CSR
!
nbytes = nr*(2*psb_sizeof_dp + psb_sizeof_int)+&
& annz*(psb_sizeof_dp + psb_sizeof_int)
bdwdth = times*nbytes/(t2*1.d6)
write(psb_out_unit,*)
write(psb_out_unit,'("MBYTES/S : ",F20.3)') bdwdth
bdwdth = times*nbytes/(tt2*1.d6)
write(psb_out_unit,'("MBYTES/S (trans): ",F20.3)') bdwdth
write(psb_out_unit,'("Storage type for DESC_A: ",a)') desc_a%get_fmt()
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)')descsize
end if
!
! cleanup storage and exit
!
call psb_gefree(bv,desc_a,info)
call psb_gefree(xv,desc_a,info)
call psb_spfree(a,desc_a,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_exit(ictxt)
stop
9999 call psb_error(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
integer(psb_ipk_) :: ictxt
character(len=*) :: kmethd, ptype, afmt
integer(psb_ipk_) :: idim, istopc,itmax,itrace,irst
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: ip, inp_unit
character(len=1024) :: filename
call psb_info(ictxt, iam, np)
if (iam == 0) 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(ictxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
read(inp_unit,*) ip
if (ip >= 3) then
read(inp_unit,*) kmethd
read(inp_unit,*) ptype
read(inp_unit,*) afmt
read(inp_unit,*) idim
if (ip >= 4) then
read(inp_unit,*) istopc
else
istopc=1
endif
if (ip >= 5) then
read(inp_unit,*) itmax
else
itmax=500
endif
if (ip >= 6) then
read(inp_unit,*) itrace
else
itrace=-1
endif
if (ip >= 7) then
read(inp_unit,*) irst
else
irst=1
endif
! broadcast parameters to all processors
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,&
& '("Grid dimensions : ",i4," x ",i4," x ",i4)') &
& idim,idim,idim
write(psb_out_unit,'("Number of processors : ",i0)')np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') ptype
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
else
! wrong number of parameter, print an error message and exit
call pr_usage(izero)
call psb_abort(ictxt)
stop 1
endif
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,ptype)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer(psb_ipk_) :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde3d90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
end program psb_d_pde3d

File diff suppressed because it is too large Load Diff

@ -0,0 +1,611 @@
!
! Parallel Sparse BLAS version 3.5
! (C) Copyright 2006-2018
! Salvatore Filippone
! Alfredo Buttari
!
! 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 PSBLAS 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 PSBLAS 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.
!
!
!
! package: psb_d_scsr_mat_mod
!
! This module contains the definition of the psb_d_scsr_sparse_mat type
! which is just an example of how to build a new storage format.
! Indeed this is simply CSR under a new name.
!
! Please refere to psb_d_base_mat_mod for a detailed description
! of the various methods, and to psb_d_scsr_impl for implementation details.
!
module psb_d_scsr_mat_mod
use psb_d_csr_mat_mod
!> \namespace psb_base_mod \class psb_d_scsr_sparse_mat
!! \extends psb_d_base_mat_mod::psb_d_base_sparse_mat
!!
!! psb_d_scsr_sparse_mat type and the related methods.
!! This is a very common storage type, and is the default for assembled
!! matrices in our library
type, extends(psb_d_csr_sparse_mat) :: psb_d_scsr_sparse_mat
!> Number of non-empty rows
integer(psb_ipk_) :: nnerws=0
!> Pointers to non-empty roows
integer(psb_ipk_), allocatable :: nerwids(:)
contains
!!$ procedure, pass(a) :: get_size => d_scsr_get_size
!!$ procedure, pass(a) :: get_nzeros => d_scsr_get_nzeros
procedure, nopass :: get_fmt => d_scsr_get_fmt
procedure, pass(a) :: sizeof => d_scsr_sizeof
procedure, pass(a) :: csmm => psb_d_scsr_csmm
procedure, pass(a) :: csmv => psb_d_scsr_csmv
!!$ procedure, pass(a) :: inner_cssm => psb_d_scsr_cssm
!!$ procedure, pass(a) :: inner_cssv => psb_d_scsr_cssv
!!$ procedure, pass(a) :: scals => psb_d_scsr_scals
!!$ procedure, pass(a) :: scalv => psb_d_scsr_scal
!!$ procedure, pass(a) :: maxval => psb_d_scsr_maxval
!!$ procedure, pass(a) :: spnmi => psb_d_scsr_csnmi
!!$ procedure, pass(a) :: spnm1 => psb_d_scsr_csnm1
!!$ procedure, pass(a) :: rowsum => psb_d_scsr_rowsum
!!$ procedure, pass(a) :: arwsum => psb_d_scsr_arwsum
!!$ procedure, pass(a) :: colsum => psb_d_scsr_colsum
!!$ procedure, pass(a) :: aclsum => psb_d_scsr_aclsum
!!$ procedure, pass(a) :: reallocate_nz => psb_d_scsr_reallocate_nz
!!$ procedure, pass(a) :: allocate_mnnz => psb_d_scsr_allocate_mnnz
!!$ procedure, pass(a) :: cp_to_coo => psb_d_cp_scsr_to_coo
!!$ procedure, pass(a) :: cp_from_coo => psb_d_cp_scsr_from_coo
!!$ procedure, pass(a) :: cp_to_fmt => psb_d_cp_scsr_to_fmt
procedure, pass(a) :: cp_from_fmt => psb_d_cp_scsr_from_fmt
!!$ procedure, pass(a) :: mv_to_coo => psb_d_mv_scsr_to_coo
procedure, pass(a) :: mv_from_coo => psb_d_mv_scsr_from_coo
!!$ procedure, pass(a) :: mv_to_fmt => psb_d_mv_scsr_to_fmt
procedure, pass(a) :: mv_from_fmt => psb_d_mv_scsr_from_fmt
!!$ procedure, pass(a) :: csput_a => psb_d_scsr_csput_a
!!$ procedure, pass(a) :: get_diag => psb_d_scsr_get_diag
!!$ procedure, pass(a) :: csgetptn => psb_d_scsr_csgetptn
!!$ procedure, pass(a) :: csgetrow => psb_d_scsr_csgetrow
!!$ procedure, pass(a) :: get_nz_row => d_scsr_get_nz_row
!!$ procedure, pass(a) :: reinit => psb_d_scsr_reinit
procedure, pass(a) :: trim => psb_d_scsr_trim
!!$ procedure, pass(a) :: print => psb_d_scsr_print
procedure, pass(a) :: free => d_scsr_free
procedure, pass(a) :: mold => psb_d_scsr_mold
end type psb_d_scsr_sparse_mat
!!$ private :: d_scsr_get_nzeros, d_scsr_free, d_scsr_get_fmt, &
!!$ & d_scsr_get_size, d_scsr_sizeof, d_scsr_get_nz_row
private :: d_scsr_free, d_scsr_get_fmt, &
& d_scsr_sizeof
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !| \see psb_base_mat_mod::psb_base_reallocate_nz
!!$ interface
!!$ subroutine psb_d_scsr_reallocate_nz(nz,a)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat
!!$ integer(psb_ipk_), intent(in) :: nz
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ end subroutine psb_d_scsr_reallocate_nz
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !| \see psb_base_mat_mod::psb_base_reinit
!!$ interface
!!$ subroutine psb_d_scsr_reinit(a,clear)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ logical, intent(in), optional :: clear
!!$ end subroutine psb_d_scsr_reinit
!!$ end interface
!> \memberof psb_d_scsr_sparse_mat
!| \see psb_base_mat_mod::psb_base_trim
interface
subroutine psb_d_scsr_trim(a)
import :: psb_ipk_, psb_d_scsr_sparse_mat
class(psb_d_scsr_sparse_mat), intent(inout) :: a
end subroutine psb_d_scsr_trim
end interface
!> \memberof psb_d_scsr_sparse_mat
!| \see psb_base_mat_mod::psb_base_mold
interface
subroutine psb_d_scsr_mold(a,b,info)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_base_sparse_mat, psb_long_int_k_
class(psb_d_scsr_sparse_mat), intent(in) :: a
class(psb_d_base_sparse_mat), intent(inout), allocatable :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_scsr_mold
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !| \see psb_base_mat_mod::psb_base_allocate_mnnz
!!$ interface
!!$ subroutine psb_d_scsr_allocate_mnnz(m,n,a,nz)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat
!!$ integer(psb_ipk_), intent(in) :: m,n
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ integer(psb_ipk_), intent(in), optional :: nz
!!$ end subroutine psb_d_scsr_allocate_mnnz
!!$ end interface
!!$
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_print
!!$ interface
!!$ subroutine psb_d_scsr_print(iout,a,iv,head,ivr,ivc)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat
!!$ integer(psb_ipk_), intent(in) :: iout
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_), intent(in), optional :: iv(:)
!!$ character(len=*), optional :: head
!!$ integer(psb_ipk_), intent(in), optional :: ivr(:), ivc(:)
!!$ end subroutine psb_d_scsr_print
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_cp_to_coo
!!$ interface
!!$ subroutine psb_d_cp_scsr_to_coo(a,b,info)
!!$ import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_scsr_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ class(psb_d_coo_sparse_mat), intent(inout) :: b
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_cp_scsr_to_coo
!!$ end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_cp_from_coo
interface
subroutine psb_d_cp_scsr_from_coo(a,b,info)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_coo_sparse_mat
class(psb_d_scsr_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_scsr_from_coo
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_cp_to_fmt
!!$ interface
!!$ subroutine psb_d_cp_scsr_to_fmt(a,b,info)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_base_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ class(psb_d_base_sparse_mat), intent(inout) :: b
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_cp_scsr_to_fmt
!!$ end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_cp_from_fmt
interface
subroutine psb_d_cp_scsr_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_base_sparse_mat
class(psb_d_scsr_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_scsr_from_fmt
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_mv_to_coo
!!$ interface
!!$ subroutine psb_d_mv_scsr_to_coo(a,b,info)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_coo_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ class(psb_d_coo_sparse_mat), intent(inout) :: b
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_mv_scsr_to_coo
!!$ end interface
!!$
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_mv_from_coo
interface
subroutine psb_d_mv_scsr_from_coo(a,b,info)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_coo_sparse_mat
class(psb_d_scsr_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_scsr_from_coo
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_mv_to_fmt
!!$ interface
!!$ subroutine psb_d_mv_scsr_to_fmt(a,b,info)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_base_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ class(psb_d_base_sparse_mat), intent(inout) :: b
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_mv_scsr_to_fmt
!!$ end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_mv_from_fmt
interface
subroutine psb_d_mv_scsr_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_d_base_sparse_mat
class(psb_d_scsr_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_scsr_from_fmt
end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_cp_from
interface
subroutine psb_d_scsr_cp_from(a,b)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
class(psb_d_scsr_sparse_mat), intent(inout) :: a
type(psb_d_scsr_sparse_mat), intent(in) :: b
end subroutine psb_d_scsr_cp_from
end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_mv_from
interface
subroutine psb_d_scsr_mv_from(a,b)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
class(psb_d_scsr_sparse_mat), intent(inout) :: a
type(psb_d_scsr_sparse_mat), intent(inout) :: b
end subroutine psb_d_scsr_mv_from
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_csput
!!$ interface
!!$ subroutine psb_d_scsr_csput_a(nz,ia,ja,val,a,imin,imax,jmin,jmax,info,gtl)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ real(psb_dpk_), intent(in) :: val(:)
!!$ integer(psb_ipk_), intent(in) :: nz,ia(:), ja(:),&
!!$ & imin,imax,jmin,jmax
!!$ integer(psb_ipk_), intent(out) :: info
!!$ integer(psb_ipk_), intent(in), optional :: gtl(:)
!!$ end subroutine psb_d_scsr_csput_a
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_base_mat_mod::psb_base_csgetptn
!!$ interface
!!$ subroutine psb_d_scsr_csgetptn(imin,imax,a,nz,ia,ja,info,&
!!$ & jmin,jmax,iren,append,nzin,rscale,cscale)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_), intent(in) :: imin,imax
!!$ integer(psb_ipk_), intent(out) :: nz
!!$ integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
!!$ integer(psb_ipk_),intent(out) :: info
!!$ logical, intent(in), optional :: append
!!$ integer(psb_ipk_), intent(in), optional :: iren(:)
!!$ integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
!!$ logical, intent(in), optional :: rscale,cscale
!!$ end subroutine psb_d_scsr_csgetptn
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_csgetrow
!!$ interface
!!$ subroutine psb_d_scsr_csgetrow(imin,imax,a,nz,ia,ja,val,info,&
!!$ & jmin,jmax,iren,append,nzin,rscale,cscale)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_), intent(in) :: imin,imax
!!$ integer(psb_ipk_), intent(out) :: nz
!!$ integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
!!$ real(psb_dpk_), allocatable, intent(inout) :: val(:)
!!$ integer(psb_ipk_),intent(out) :: info
!!$ logical, intent(in), optional :: append
!!$ integer(psb_ipk_), intent(in), optional :: iren(:)
!!$ integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
!!$ logical, intent(in), optional :: rscale,cscale
!!$ end subroutine psb_d_scsr_csgetrow
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_csgetblk
!!$ interface
!!$ subroutine psb_d_scsr_csgetblk(imin,imax,a,b,info,&
!!$ & jmin,jmax,iren,append,rscale,cscale)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_, psb_d_coo_sparse_mat
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ class(psb_d_coo_sparse_mat), intent(inout) :: b
!!$ integer(psb_ipk_), intent(in) :: imin,imax
!!$ integer(psb_ipk_),intent(out) :: info
!!$ logical, intent(in), optional :: append
!!$ integer(psb_ipk_), intent(in), optional :: iren(:)
!!$ integer(psb_ipk_), intent(in), optional :: jmin,jmax
!!$ logical, intent(in), optional :: rscale,cscale
!!$ end subroutine psb_d_scsr_csgetblk
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_cssv
!!$ interface
!!$ subroutine psb_d_scsr_cssv(alpha,a,x,beta,y,info,trans)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(in) :: alpha, beta, x(:)
!!$ real(psb_dpk_), intent(inout) :: y(:)
!!$ integer(psb_ipk_), intent(out) :: info
!!$ character, optional, intent(in) :: trans
!!$ end subroutine psb_d_scsr_cssv
!!$ end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_cssm
!!$ interface
!!$ subroutine psb_d_scsr_cssm(alpha,a,x,beta,y,info,trans)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
!!$ real(psb_dpk_), intent(inout) :: y(:,:)
!!$ integer(psb_ipk_), intent(out) :: info
!!$ character, optional, intent(in) :: trans
!!$ end subroutine psb_d_scsr_cssm
!!$ end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_csmv
interface
subroutine psb_d_scsr_csmv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
class(psb_d_scsr_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_scsr_csmv
end interface
!> \memberof psb_d_scsr_sparse_mat
!! \see psb_d_base_mat_mod::psb_d_base_csmm
interface
subroutine psb_d_scsr_csmm(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
class(psb_d_scsr_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_scsr_csmm
end interface
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_maxval
!!$ interface
!!$ function psb_d_scsr_maxval(a) result(res)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_) :: res
!!$ end function psb_d_scsr_maxval
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_csnmi
!!$ interface
!!$ function psb_d_scsr_csnmi(a) result(res)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_) :: res
!!$ end function psb_d_scsr_csnmi
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_csnm1
!!$ interface
!!$ function psb_d_scsr_csnm1(a) result(res)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_) :: res
!!$ end function psb_d_scsr_csnm1
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_rowsum
!!$ interface
!!$ subroutine psb_d_scsr_rowsum(d,a)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(out) :: d(:)
!!$ end subroutine psb_d_scsr_rowsum
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_arwsum
!!$ interface
!!$ subroutine psb_d_scsr_arwsum(d,a)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(out) :: d(:)
!!$ end subroutine psb_d_scsr_arwsum
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_colsum
!!$ interface
!!$ subroutine psb_d_scsr_colsum(d,a)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(out) :: d(:)
!!$ end subroutine psb_d_scsr_colsum
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_aclsum
!!$ interface
!!$ subroutine psb_d_scsr_aclsum(d,a)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(out) :: d(:)
!!$ end subroutine psb_d_scsr_aclsum
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_get_diag
!!$ interface
!!$ subroutine psb_d_scsr_get_diag(a,d,info)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ real(psb_dpk_), intent(out) :: d(:)
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_scsr_get_diag
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_scal
!!$ interface
!!$ subroutine psb_d_scsr_scal(d,a,info,side)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ real(psb_dpk_), intent(in) :: d(:)
!!$ integer(psb_ipk_), intent(out) :: info
!!$ character, intent(in), optional :: side
!!$ end subroutine psb_d_scsr_scal
!!$ end interface
!!$
!!$ !> \memberof psb_d_scsr_sparse_mat
!!$ !! \see psb_d_base_mat_mod::psb_d_base_scals
!!$ interface
!!$ subroutine psb_d_scsr_scals(d,a,info)
!!$ import :: psb_ipk_, psb_d_scsr_sparse_mat, psb_dpk_
!!$ class(psb_d_scsr_sparse_mat), intent(inout) :: a
!!$ real(psb_dpk_), intent(in) :: d
!!$ integer(psb_ipk_), intent(out) :: info
!!$ end subroutine psb_d_scsr_scals
!!$ end interface
contains
! == ===================================
!
!
!
! Getters
!
!
!
!
!
! == ===================================
function d_scsr_sizeof(a) result(res)
implicit none
class(psb_d_scsr_sparse_mat), intent(in) :: a
integer(psb_long_int_k_) :: res
res = a%psb_d_csr_sparse_mat%sizeof()
res = res + psb_sizeof_int * size(a%nerwids)
res = res + psb_sizeof_int
end function d_scsr_sizeof
function d_scsr_get_fmt() result(res)
implicit none
character(len=5) :: res
res = 'SCSR'
end function d_scsr_get_fmt
!!$ function d_scsr_get_nzeros(a) result(res)
!!$ implicit none
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_) :: res
!!$ res = a%irp(a%get_nrows()+1)-1
!!$ end function d_scsr_get_nzeros
!!$
!!$ function d_scsr_get_size(a) result(res)
!!$ implicit none
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_) :: res
!!$
!!$ res = -1
!!$
!!$ if (allocated(a%ja)) then
!!$ res = size(a%ja)
!!$ end if
!!$ if (allocated(a%val)) then
!!$ if (res >= 0) then
!!$ res = min(res,size(a%val))
!!$ else
!!$ res = size(a%val)
!!$ end if
!!$ end if
!!$
!!$ end function d_scsr_get_size
!!$
!!$
!!$
!!$ function d_scsr_get_nz_row(idx,a) result(res)
!!$
!!$ implicit none
!!$
!!$ class(psb_d_scsr_sparse_mat), intent(in) :: a
!!$ integer(psb_ipk_), intent(in) :: idx
!!$ integer(psb_ipk_) :: res
!!$
!!$ res = 0
!!$
!!$ if ((1<=idx).and.(idx<=a%get_nrows())) then
!!$ res = a%irp(idx+1)-a%irp(idx)
!!$ end if
!!$
!!$ end function d_scsr_get_nz_row
! == ===================================
!
!
!
! Data management
!
!
!
!
!
! == ===================================
subroutine d_scsr_free(a)
implicit none
class(psb_d_scsr_sparse_mat), intent(inout) :: a
if (allocated(a%nerwids)) deallocate(a%nerwids)
a%nnerws = 0
call a%psb_d_csr_sparse_mat%free()
return
end subroutine d_scsr_free
end module psb_d_scsr_mat_mod

@ -0,0 +1,807 @@
!
! Parallel Sparse BLAS version 3.5
! (C) Copyright 2006-2018
! Salvatore Filippone
! Alfredo Buttari
!
! 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 PSBLAS 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 PSBLAS 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: psb_s_pde2d.f90
!
! Program: psb_s_pde2d
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs.
!
!
! The PDE is a general second order equation in 2d
!
! a1 dd(u) a2 dd(u) b1 d(u) b2 d(u)
! - ------ - ------ ----- + ------ + c u = f
! dxdx dydy 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.
!
! 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 2D distribution in which the unit square is partitioned
! into rectangles, each one assigned to a process.
!
module psb_s_pde2d_mod
use psb_base_mod, only : psb_spk_, psb_ipk_, psb_desc_type,&
& psb_sspmat_type, psb_s_vect_type, szero,&
& psb_s_base_sparse_mat, psb_s_base_vect_type, psb_i_base_vect_type
interface
function s_func_2d(x,y) result(val)
import :: psb_spk_
real(psb_spk_), intent(in) :: x,y
real(psb_spk_) :: val
end function s_func_2d
end interface
interface psb_gen_pde2d
module procedure psb_s_gen_pde2d
end interface psb_gen_pde2d
contains
function s_null_func_2d(x,y) result(val)
real(psb_spk_), intent(in) :: x,y
real(psb_spk_) :: val
val = szero
end function s_null_func_2d
!
! functions parametrizing the differential equation
!
!
! Note: b1 and b2 are the coefficients of the first
! derivative of the unknown function. The default
! we apply here is to have them zero, so that the resulting
! matrix is symmetric/hermitian and suitable for
! testing with CG and FCG.
! When testing methods for non-hermitian matrices you can
! change the B1/B2 functions to e.g. sone/sqrt((2*sone))
!
function b1(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: b1
real(psb_spk_), intent(in) :: x,y
b1=szero
end function b1
function b2(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: b2
real(psb_spk_), intent(in) :: x,y
b2=szero
end function b2
function c(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: c
real(psb_spk_), intent(in) :: x,y
c=0.d0
end function c
function a1(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: a1
real(psb_spk_), intent(in) :: x,y
a1=sone/80
end function a1
function a2(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: a2
real(psb_spk_), intent(in) :: x,y
a2=sone/80
end function a2
function g(x,y)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: g
real(psb_spk_), intent(in) :: x,y
g = szero
if (x == sone) then
g = sone
else if (x == szero) then
g = exp(-y**2)
end if
end function g
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine psb_s_gen_pde2d(ictxt,idim,a,bv,xv,desc_a,afmt,info,&
& f,amold,vmold,imold,partition,nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! a1 dd(u) a2 dd(u) b1 d(u) b2 d(u)
! - ------ - ------ + ----- + ------ + c u = f
! dxdx dydy 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
integer(psb_ipk_) :: idim
type(psb_sspmat_type) :: a
type(psb_s_vect_type) :: xv,bv
type(psb_desc_type) :: desc_a
integer(psb_ipk_) :: ictxt, info
character(len=*) :: afmt
procedure(s_func_2d), optional :: f
class(psb_s_base_sparse_mat), optional :: amold
class(psb_s_base_vect_type), optional :: vmold
class(psb_i_base_vect_type), optional :: imold
integer(psb_ipk_), optional :: partition, nrl,iv(:)
! Local variables.
integer(psb_ipk_), parameter :: nb=20
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
integer(psb_ipk_) :: m,n,nnz,nr,nt,glob_row,nlr,i,j,ii,ib,k, partition_
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
! For 2D partition
integer(psb_ipk_) :: npx,npy,npdims(2),iamx,iamy,mynx,myny
integer(psb_ipk_), allocatable :: bndx(:),bndy(:)
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_ipk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_spk_), allocatable :: val(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_spk_) :: deltah, sqdeltah, deltah2
real(psb_spk_), parameter :: rhs=szero,one=sone,zero=szero
real(psb_dpk_) :: t0, t1, t2, t3, tasb, talc, ttot, tgen, tcdasb
integer(psb_ipk_) :: err_act
procedure(s_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(ictxt, iam, np)
if (present(f)) then
f_ => f
else
f_ => s_null_func_2d
end if
deltah = sone/(idim+2)
sqdeltah = deltah*deltah
deltah2 = (2*sone)* 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 = idim*idim
n = m
nnz = ((n*7)/(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(ictxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ictxt,desc_a,info,vl=myidx)
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
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(ictxt)
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(ictxt)
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(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_) 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
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(ictxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info,mold=imold)
tcdasb = psb_wtime()-t1
call psb_barrier(ictxt)
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(ictxt)
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(ictxt)
ttot = psb_wtime() - t0
call psb_amx(ictxt,talc)
call psb_amx(ictxt,tgen)
call psb_amx(ictxt,tasb)
call psb_amx(ictxt,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(ictxt,err_act)
return
end subroutine psb_s_gen_pde2d
end module psb_s_pde2d_mod
program psb_s_pde2d
use psb_base_mod
use psb_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_s_pde2d_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer(psb_ipk_) :: idim
! miscellaneous
real(psb_spk_), parameter :: one = sone
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_sspmat_type) :: a
type(psb_sprec_type) :: prec
! descriptor
type(psb_desc_type) :: desc_a
! dense vectors
type(psb_s_vect_type) :: xxv,bv
! parallel environment
integer(psb_ipk_) :: ictxt, iam, np
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst
integer(psb_long_int_k_) :: amatsize, precsize, descsize, d2size
real(psb_spk_) :: err, eps
! other variables
integer(psb_ipk_) :: info, i
character(len=20) :: name,ch_err
character(len=40) :: fname
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde2d90'
call psb_set_errverbosity(itwo)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to PSBLAS version: ',psb_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde2d(ictxt,idim,a,bv,xxv,desc_a,afmt,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_gen_pde2d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) write(psb_out_unit,'(" ")')
!
! prepare the preconditioner.
!
if(iam == psb_root_) write(psb_out_unit,'("Setting preconditioner to : ",a)')ptype
call prec%init(ptype,info)
call psb_barrier(ictxt)
t1 = psb_wtime()
call prec%build(a,desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_precbld'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tprec = psb_wtime()-t1
call psb_amx(ictxt,tprec)
if (iam == psb_root_) write(psb_out_unit,'("Preconditioner time : ",es12.5)')tprec
if (iam == psb_root_) write(psb_out_unit,'(" ")')
call prec%descr()
!
! iterative method parameters
!
if(iam == psb_root_) write(psb_out_unit,'("Calling iterative method ",a)')kmethd
call psb_barrier(ictxt)
t1 = psb_wtime()
eps = 1.d-6
call psb_krylov(kmethd,a,prec,bv,xxv,eps,desc_a,info,&
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
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(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Number of processes : ",i0)')np
write(psb_out_unit,'("Time to solve system : ",es12.5)')t2
write(psb_out_unit,'("Time per iteration : ",es12.5)')t2/iter
write(psb_out_unit,'("Number of iterations : ",i0)')iter
write(psb_out_unit,'("Convergence indicator on exit : ",es12.5)')err
write(psb_out_unit,'("Info on exit : ",i0)')info
write(psb_out_unit,'("Total memory occupation for A: ",i12)')amatsize
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)')precsize
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)')descsize
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(bv,desc_a,info)
call psb_gefree(xxv,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_exit(ictxt)
stop
9999 call psb_error(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
integer(psb_ipk_) :: ictxt
character(len=*) :: kmethd, ptype, afmt
integer(psb_ipk_) :: idim, istopc,itmax,itrace,irst
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: ip, inp_unit
character(len=1024) :: filename
call psb_info(ictxt, iam, np)
if (iam == 0) 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(ictxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
read(inp_unit,*) ip
if (ip >= 3) then
read(inp_unit,*) kmethd
read(inp_unit,*) ptype
read(inp_unit,*) afmt
read(inp_unit,*) idim
if (ip >= 4) then
read(inp_unit,*) istopc
else
istopc=1
endif
if (ip >= 5) then
read(inp_unit,*) itmax
else
itmax=500
endif
if (ip >= 6) then
read(inp_unit,*) itrace
else
itrace=-1
endif
if (ip >= 7) then
read(inp_unit,*) irst
else
irst=1
endif
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,'("Grid dimensions : ",i5," x ",i5)')idim,idim
write(psb_out_unit,'("Number of processors : ",i0)')np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') ptype
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
else
! wrong number of parameter, print an error message and exit
call pr_usage(izero)
call psb_abort(ictxt)
stop 1
endif
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,ptype)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer(psb_ipk_) :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde2d90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
end program psb_s_pde2d

@ -0,0 +1,852 @@
!
! Parallel Sparse BLAS version 3.5
! (C) Copyright 2006-2018
! Salvatore Filippone
! Alfredo Buttari
!
! 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 PSBLAS 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 PSBLAS 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: psb_s_pde3d.f90
!
! Program: psb_s_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.
!
!
module psb_s_pde3d_mod
use psb_base_mod, only : psb_spk_, psb_ipk_, psb_desc_type,&
& psb_sspmat_type, psb_s_vect_type, szero,&
& psb_s_base_sparse_mat, psb_s_base_vect_type, psb_i_base_vect_type
interface
function s_func_3d(x,y,z) result(val)
import :: psb_spk_
real(psb_spk_), intent(in) :: x,y,z
real(psb_spk_) :: val
end function s_func_3d
end interface
interface psb_gen_pde3d
module procedure psb_s_gen_pde3d
end interface psb_gen_pde3d
contains
function s_null_func_3d(x,y,z) result(val)
real(psb_spk_), intent(in) :: x,y,z
real(psb_spk_) :: val
val = szero
end function s_null_func_3d
!
! functions parametrizing the differential equation
!
!
! Note: b1, b2 and b3 are the coefficients of the first
! derivative of the unknown function. The default
! we apply here is to have them zero, so that the resulting
! matrix is symmetric/hermitian and suitable for
! testing with CG and FCG.
! When testing methods for non-hermitian matrices you can
! change the B1/B2/B3 functions to e.g. sone/sqrt((3*sone))
!
function b1(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: b1
real(psb_spk_), intent(in) :: x,y,z
b1=szero
end function b1
function b2(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: b2
real(psb_spk_), intent(in) :: x,y,z
b2=szero
end function b2
function b3(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: b3
real(psb_spk_), intent(in) :: x,y,z
b3=szero
end function b3
function c(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: c
real(psb_spk_), intent(in) :: x,y,z
c=szero
end function c
function a1(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: a1
real(psb_spk_), intent(in) :: x,y,z
a1=sone/80
end function a1
function a2(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: a2
real(psb_spk_), intent(in) :: x,y,z
a2=sone/80
end function a2
function a3(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: a3
real(psb_spk_), intent(in) :: x,y,z
a3=sone/80
end function a3
function g(x,y,z)
use psb_base_mod, only : psb_spk_, sone, szero
implicit none
real(psb_spk_) :: g
real(psb_spk_), intent(in) :: x,y,z
g = szero
if (x == sone) then
g = sone
else if (x == szero) then
g = exp(y**2-z**2)
end if
end function g
!
! subroutine to allocate and fill in the coefficient matrix and
! the rhs.
!
subroutine psb_s_gen_pde3d(ictxt,idim,a,bv,xv,desc_a,afmt,info,&
& f,amold,vmold,imold,partition,nrl,iv)
use psb_base_mod
use psb_util_mod
!
! Discretizes the partial differential equation
!
! 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.
!
implicit none
integer(psb_ipk_) :: idim
type(psb_sspmat_type) :: a
type(psb_s_vect_type) :: xv,bv
type(psb_desc_type) :: desc_a
integer(psb_ipk_) :: ictxt, info
character(len=*) :: afmt
procedure(s_func_3d), optional :: f
class(psb_s_base_sparse_mat), optional :: amold
class(psb_s_base_vect_type), optional :: vmold
class(psb_i_base_vect_type), optional :: imold
integer(psb_ipk_), optional :: partition, nrl,iv(:)
! Local variables.
integer(psb_ipk_), parameter :: nb=20
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
integer(psb_ipk_) :: m,n,nnz,nr,nt,glob_row,nlr,i,j,ii,ib,k, partition_
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
! For 3D partition
integer(psb_ipk_) :: npx,npy,npz, npdims(3),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_ipk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_spk_), allocatable :: val(:)
! deltah dimension of each grid cell
! deltat discretization time
real(psb_spk_) :: deltah, sqdeltah, deltah2
real(psb_spk_), parameter :: rhs=szero,one=sone,zero=szero
real(psb_dpk_) :: t0, t1, t2, t3, tasb, talc, ttot, tgen, tcdasb
integer(psb_ipk_) :: err_act
procedure(s_func_3d), pointer :: f_
character(len=20) :: name, ch_err,tmpfmt
info = psb_success_
name = 'create_matrix'
call psb_erractionsave(err_act)
call psb_info(ictxt, iam, np)
if (present(f)) then
f_ => f
else
f_ => s_null_func_3d
end if
deltah = sone/(idim+2)
sqdeltah = deltah*deltah
deltah2 = (2*sone)* 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 = idim*idim*idim
n = m
nnz = ((n*7)/(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(ictxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ictxt,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(ictxt)
call psb_abort(ictxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ictxt,desc_a,info,vl=myidx)
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
call psb_barrier(ictxt)
call psb_abort(ictxt)
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(ictxt)
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(ictxt)
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
! 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
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
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(ictxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info,mold=imold)
tcdasb = psb_wtime()-t1
call psb_barrier(ictxt)
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(ictxt)
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(ictxt)
ttot = psb_wtime() - t0
call psb_amx(ictxt,talc)
call psb_amx(ictxt,tgen)
call psb_amx(ictxt,tasb)
call psb_amx(ictxt,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(ictxt,err_act)
return
end subroutine psb_s_gen_pde3d
end module psb_s_pde3d_mod
program psb_s_pde3d
use psb_base_mod
use psb_prec_mod
use psb_krylov_mod
use psb_util_mod
use psb_s_pde3d_mod
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer(psb_ipk_) :: idim
! miscellaneous
real(psb_spk_), parameter :: one = sone
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_sspmat_type) :: a
type(psb_sprec_type) :: prec
! descriptor
type(psb_desc_type) :: desc_a
! dense vectors
type(psb_s_vect_type) :: xxv,bv
! parallel environment
integer(psb_ipk_) :: ictxt, iam, np
! solver parameters
integer(psb_ipk_) :: iter, itmax,itrace, istopc, irst
integer(psb_long_int_k_) :: amatsize, precsize, descsize, d2size
real(psb_spk_) :: err, eps
! other variables
integer(psb_ipk_) :: info, i
character(len=20) :: name,ch_err
character(len=40) :: fname
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde3d90'
call psb_set_errverbosity(itwo)
call psb_cd_set_large_threshold(itwo)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to PSBLAS version: ',psb_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde3d(ictxt,idim,a,bv,xxv,desc_a,afmt,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_gen_pde3d'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) write(psb_out_unit,'(" ")')
!
! prepare the preconditioner.
!
if(iam == psb_root_) write(psb_out_unit,'("Setting preconditioner to : ",a)')ptype
call prec%init(ptype,info)
call psb_barrier(ictxt)
t1 = psb_wtime()
call prec%build(a,desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_precbld'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tprec = psb_wtime()-t1
call psb_amx(ictxt,tprec)
if (iam == psb_root_) write(psb_out_unit,'("Preconditioner time : ",es12.5)')tprec
if (iam == psb_root_) write(psb_out_unit,'(" ")')
call prec%descr()
!
! iterative method parameters
!
if(iam == psb_root_) write(psb_out_unit,'("Calling iterative method ",a)')kmethd
call psb_barrier(ictxt)
t1 = psb_wtime()
eps = 1.d-6
call psb_krylov(kmethd,a,prec,bv,xxv,eps,desc_a,info,&
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
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(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Number of processes : ",i0)')np
write(psb_out_unit,'("Time to solve system : ",es12.5)')t2
write(psb_out_unit,'("Time per iteration : ",es12.5)')t2/iter
write(psb_out_unit,'("Number of iterations : ",i0)')iter
write(psb_out_unit,'("Convergence indicator on exit : ",es12.5)')err
write(psb_out_unit,'("Info on exit : ",i0)')info
write(psb_out_unit,'("Total memory occupation for A: ",i12)')amatsize
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)')precsize
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)')descsize
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(bv,desc_a,info)
call psb_gefree(xxv,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_exit(ictxt)
stop
9999 call psb_error(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,ptype,afmt,idim,istopc,itmax,itrace,irst)
integer(psb_ipk_) :: ictxt
character(len=*) :: kmethd, ptype, afmt
integer(psb_ipk_) :: idim, istopc,itmax,itrace,irst
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: ip, inp_unit
character(len=1024) :: filename
call psb_info(ictxt, iam, np)
if (iam == 0) 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(ictxt)
stop
else
write(psb_err_unit,*) 'Opened file ',trim(filename),' for input'
end if
else
inp_unit=psb_inp_unit
end if
read(inp_unit,*) ip
if (ip >= 3) then
read(inp_unit,*) kmethd
read(inp_unit,*) ptype
read(inp_unit,*) afmt
read(inp_unit,*) idim
if (ip >= 4) then
read(inp_unit,*) istopc
else
istopc=1
endif
if (ip >= 5) then
read(inp_unit,*) itmax
else
itmax=500
endif
if (ip >= 6) then
read(inp_unit,*) itrace
else
itrace=-1
endif
if (ip >= 7) then
read(inp_unit,*) irst
else
irst=1
endif
! broadcast parameters to all processors
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,&
& '("Grid dimensions : ",i4," x ",i4," x ",i4)') &
& idim,idim,idim
write(psb_out_unit,'("Number of processors : ",i0)')np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') ptype
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
else
! wrong number of parameter, print an error message and exit
call pr_usage(izero)
call psb_abort(ictxt)
stop 1
endif
if (inp_unit /= psb_inp_unit) then
close(inp_unit)
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,ptype)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer(psb_ipk_) :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde3d90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
end program psb_s_pde3d
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