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psblas3/test/cudakern/spdegenmv.F90

993 lines
30 KiB
Fortran

!
! Parallel Sparse BLAS GPU plugin
! (C) Copyright 2013
! Salvatore Filippone
! Alessandro Fanfarillo
!
! 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: spdegenmv.f90
!
! Program: pdegenmv
! This sample program measures the performance of the matrix-vector product.
! The matrix is generated in the same way as for the pdegen test case of
! the main PSBLAS library.
!
!
module psb_s_pde3d_mod
use psb_base_mod, only : psb_spk_, psb_ipk_, psb_lpk_, 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, psb_l_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
!
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=sone/sqrt((3*sone))
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=sone/sqrt((3*sone))
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=sone/sqrt((3*sone))
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(ctxt,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
type(psb_ctxt_type) :: ctxt
integer(psb_ipk_) :: 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_) :: nnz,nr,nlr,i,j,ii,ib,k, partition_
integer(psb_lpk_) :: m,n,glob_row,nt
integer(psb_ipk_) :: ix,iy,iz,ia,indx_owner
! For 3D partition
! Note: integer control variables going directly into an MPI call
! must be 4 bytes, i.e. psb_mpk_
integer(psb_mpk_) :: npdims(3), npp, minfo
integer(psb_ipk_) :: npx,npy,npz, iamx,iamy,iamz,mynx,myny,mynz
integer(psb_ipk_), allocatable :: bndx(:),bndy(:),bndz(:)
! Process grid
integer(psb_ipk_) :: np, iam
integer(psb_ipk_) :: icoeff
integer(psb_lpk_), allocatable :: irow(:),icol(:),myidx(:)
real(psb_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(ctxt, 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 = (1_psb_lpk_*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(ctxt,nt)
if (nt /= m) then
write(psb_err_unit,*) iam, 'Initialization error ',nr,nt,m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! First example of use of CDALL: specify for each process a number of
! contiguous rows
!
call psb_cdall(ctxt,desc_a,info,nl=nr)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(2)
! A partition defined by the user through IV
if (present(iv)) then
if (size(iv) /= m) then
write(psb_err_unit,*) iam, 'Initialization error: wrong IV size',size(iv),m
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
else
write(psb_err_unit,*) iam, 'Initialization error: IV not present'
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end if
!
! Second example of use of CDALL: specify for each row the
! process that owns it
!
call psb_cdall(ctxt,desc_a,info,vg=iv)
myidx = desc_a%get_global_indices()
nlr = size(myidx)
case(3)
! A 3-dimensional partition
! A nifty MPI function will split the process list
npdims = 0
call mpi_dims_create(np,3,npdims,info)
npx = npdims(1)
npy = npdims(2)
npz = npdims(3)
allocate(bndx(0:npx),bndy(0:npy),bndz(0:npz))
! We can reuse idx2ijk for process indices as well.
call idx2ijk(iamx,iamy,iamz,iam,npx,npy,npz,base=0)
! Now let's split the 3D cube in hexahedra
call dist1Didx(bndx,idim,npx)
mynx = bndx(iamx+1)-bndx(iamx)
call dist1Didx(bndy,idim,npy)
myny = bndy(iamy+1)-bndy(iamy)
call dist1Didx(bndz,idim,npz)
mynz = bndz(iamz+1)-bndz(iamz)
! How many indices do I own?
nlr = mynx*myny*mynz
allocate(myidx(nlr))
! Now, let's generate the list of indices I own
nr = 0
do i=bndx(iamx),bndx(iamx+1)-1
do j=bndy(iamy),bndy(iamy+1)-1
do k=bndz(iamz),bndz(iamz+1)-1
nr = nr + 1
call ijk2idx(myidx(nr),i,j,k,idim,idim,idim)
end do
end do
end do
if (nr /= nlr) then
write(psb_err_unit,*) iam,iamx,iamy,iamz, 'Initialization error: NR vs NLR ',&
& nr,nlr,mynx,myny,mynz
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
end if
!
! Third example of use of CDALL: specify for each process
! the set of global indices it owns.
!
call psb_cdall(ctxt,desc_a,info,vl=myidx)
case default
write(psb_err_unit,*) iam, 'Initialization error: should not get here'
info = -1
call psb_barrier(ctxt)
call psb_abort(ctxt)
return
end select
if (info == psb_success_) call psb_spall(a,desc_a,info,nnz=nnz,&
& dupl=psb_dupl_err_)
! define rhs from boundary conditions; also build initial guess
if (info == psb_success_) call psb_geall(xv,desc_a,info)
if (info == psb_success_) call psb_geall(bv,desc_a,info)
call psb_barrier(ctxt)
talc = psb_wtime()-t0
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='allocation rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
! we build an auxiliary matrix consisting of one row at a
! time; just a small matrix. might be extended to generate
! a bunch of rows per call.
!
allocate(val(20*nb),irow(20*nb),&
&icol(20*nb),stat=info)
if (info /= psb_success_ ) then
info=psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
endif
! loop over rows belonging to current process in a block
! distribution.
call psb_barrier(ctxt)
t1 = psb_wtime()
do ii=1, nlr,nb
ib = min(nb,nlr-ii+1)
icoeff = 1
do k=1,ib
i=ii+k-1
! local matrix pointer
glob_row=myidx(i)
! compute gridpoint coordinates
call idx2ijk(ix,iy,iz,glob_row,idim,idim,idim)
! x, y, z coordinates
x = (ix-1)*deltah
y = (iy-1)*deltah
z = (iz-1)*deltah
zt(k) = f_(x,y,z)
! internal point: build discretization
!
! term depending on (x-1,y,z)
!
val(icoeff) = -a1(x,y,z)/sqdeltah-b1(x,y,z)/deltah2
if (ix == 1) then
zt(k) = g(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(ctxt)
t1 = psb_wtime()
call psb_cdasb(desc_a,info,mold=imold)
tcdasb = psb_wtime()-t1
call psb_barrier(ctxt)
t1 = psb_wtime()
if (info == psb_success_) then
if (present(amold)) then
call psb_spasb(a,desc_a,info,mold=amold)
else
call psb_spasb(a,desc_a,info,afmt=afmt)
end if
end if
call psb_barrier(ctxt)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (info == psb_success_) call psb_geasb(xv,desc_a,info,mold=vmold)
if (info == psb_success_) call psb_geasb(bv,desc_a,info,mold=vmold)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='asb rout.'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tasb = psb_wtime()-t1
call psb_barrier(ctxt)
ttot = psb_wtime() - t0
call psb_amx(ctxt,talc)
call psb_amx(ctxt,tgen)
call psb_amx(ctxt,tasb)
call psb_amx(ctxt,ttot)
if(iam == psb_root_) then
tmpfmt = a%get_fmt()
write(psb_out_unit,'("The matrix has been generated and assembled in ",a3," format.")')&
& tmpfmt
write(psb_out_unit,'("-allocation time : ",es12.5)') talc
write(psb_out_unit,'("-coeff. gen. time : ",es12.5)') tgen
write(psb_out_unit,'("-desc asbly time : ",es12.5)') tcdasb
write(psb_out_unit,'("- mat asbly time : ",es12.5)') tasb
write(psb_out_unit,'("-total time : ",es12.5)') ttot
end if
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(ctxt,err_act)
return
end subroutine psb_s_gen_pde3d
end module psb_s_pde3d_mod
program pdgenmv
use psb_base_mod
use psb_util_mod
use psb_ext_mod
#ifdef HAVE_CUDA
11 months ago
use psb_cuda_mod
#endif
use psb_s_pde3d_mod
implicit none
! input parameters
character(len=5) :: acfmt, agfmt
integer :: idim
! miscellaneous
real(psb_spk_), parameter :: one = 1.e0
real(psb_dpk_) :: t1, t2, tprec, flops, tflops,&
& tt1, tt2, gt1, gt2, gflops, bdwdth,&
& tcnvcsr, tcnvc1, tcnvgpu, tcnvg1
! sparse matrix and preconditioner
type(psb_sspmat_type) :: a, agpu, aux_a
! descriptor
type(psb_desc_type) :: desc_a
! dense matrices
type(psb_s_vect_type), target :: xv,bv, xg, bg
#ifdef HAVE_CUDA
11 months ago
type(psb_s_vect_cuda) :: vmold
type(psb_i_vect_cuda) :: imold
#endif
real(psb_spk_), allocatable :: x1(:), x2(:), x0(:)
! blacs parameters
type(psb_ctxt_type) :: ctxt
integer :: iam, np
! solver parameters
integer(psb_epk_) :: amatsize, precsize, descsize, annz, nbytes
real(psb_spk_) :: err, eps
integer, parameter :: ntests=200, ngpu=50, ncnv=20
type(psb_s_coo_sparse_mat), target :: acoo
type(psb_s_csr_sparse_mat), target :: acsr
type(psb_s_ell_sparse_mat), target :: aell
type(psb_s_hll_sparse_mat), target :: ahll
type(psb_s_dia_sparse_mat), target :: adia
type(psb_s_hdia_sparse_mat), target :: ahdia
#ifdef HAVE_CUDA
11 months ago
type(psb_s_cuda_elg_sparse_mat), target :: aelg
type(psb_s_cuda_csrg_sparse_mat), target :: acsrg
#if CUDA_SHORT_VERSION <= 10
11 months ago
type(psb_s_cuda_hybg_sparse_mat), target :: ahybg
#endif
11 months ago
type(psb_s_cuda_hlg_sparse_mat), target :: ahlg
type(psb_s_cuda_hdiag_sparse_mat), target :: ahdiag
type(psb_s_cuda_dnsg_sparse_mat), target :: adnsg
#endif
class(psb_s_base_sparse_mat), pointer :: agmold, acmold
! other variables
logical, parameter :: dump=.false.
integer(psb_ipk_) :: info, i, j, nr, nrg
integer(psb_lpk_) :: ig
character(len=20) :: name,ch_err
character(len=40) :: fname
info=psb_success_
call psb_init(ctxt)
call psb_info(ctxt,iam,np)
#ifdef HAVE_CUDA
11 months ago
call psb_cuda_init(ctxt)
#endif
#ifdef HAVE_RSB
call psb_rsb_init()
#endif
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ctxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
11 months ago
name='pdegenmv-cuda'
!
! 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
#ifdef HAVE_CUDA
write(*,*) 'Process ',iam,' running on device: ', psb_cuda_getDevice(),' out of', psb_cuda_getDeviceCount()
11 months ago
write(*,*) 'Process ',iam,' device ', psb_cuda_getDevice(),' is a: ', trim(psb_cuda_DeviceName())
#endif
!
! get parameters
!
call get_parms(ctxt,acfmt,agfmt,idim)
!
! allocate and fill in the coefficient matrix and initial vectors
!
call psb_barrier(ctxt)
t1 = psb_wtime()
call psb_gen_pde3d(ctxt,idim,a,bv,xv,desc_a,'CSR ',info,partition=3)
call psb_barrier(ctxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='create_matrix'
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,'(" ")')
if (dump) then
write(fname,'(a,i3.3,a,i3.3,a,i3.3,a)') 'pde',idim,'-',iam,'-',np,'.mtx'
call a%print(fname,head='PDEGEN test matrix')
end if
select case(psb_toupper(acfmt))
case('ELL')
acmold => aell
case('HLL')
acmold => ahll
case('DIA')
acmold => adia
case('HDIA')
acmold => ahdia
case('CSR')
acmold => acsr
case('COO')
acmold => acoo
#ifdef HAVE_RSB
case('RSB')
acmold => arsb
#endif
case default
write(*,*) 'Unknown format defaulting to HLL'
acmold => ahll
end select
call a%cscnv(info,mold=acmold)
if ((info /= 0).or.(psb_get_errstatus()/=0)) then
write(0,*) 'From cscnv ',info
call psb_error()
stop
end if
#ifdef HAVE_CUDA
select case(psb_toupper(agfmt))
case('ELG')
agmold => aelg
case('HLG')
agmold => ahlg
case('HDIAG')
agmold => ahdiag
case('CSRG')
agmold => acsrg
case('DNSG')
agmold => adnsg
#if CUDA_SHORT_VERSION <= 10
case('HYBG')
agmold => ahybg
#endif
case default
write(*,*) 'Unknown format defaulting to HLG'
agmold => ahlg
end select
call a%cscnv(agpu,info,mold=agmold)
if ((info /= 0).or.(psb_get_errstatus()/=0)) then
write(0,*) 'From cscnv ',info
call psb_error()
stop
end if
call desc_a%cnv(mold=imold)
call psb_geasb(bg,desc_a,info,scratch=.true.,mold=vmold)
call psb_geasb(xg,desc_a,info,scratch=.true.,mold=vmold)
#endif
nr = desc_a%get_local_rows()
nrg = desc_a%get_global_rows()
call psb_geall(x0,desc_a,info)
do i=1, nr
call desc_a%l2g(i,ig,info)
x0(i) = 1.0 + (1.0*ig)/nrg
end do
call a%cscnv(aux_a,info,mold=acoo)
tcnvcsr = 0
tcnvgpu = 0
call psb_geall(x1,desc_a,info)
do j=1, ncnv
call aux_a%cscnv(a,info,mold=acoo)
call psb_barrier(ctxt)
t1 = psb_wtime()
call a%cscnv(info,mold=acmold)
t2 = psb_Wtime() -t1
call psb_amx(ctxt,t2)
tcnvcsr = tcnvcsr + t2
if (j==1) tcnvc1 = t2
call psb_geasb(x1,desc_a,info)
call xv%bld(x0)
call psb_geasb(bv,desc_a,info,scratch=.true.)
#ifdef HAVE_CUDA
call aux_a%cscnv(agpu,info,mold=acoo)
call xg%bld(x0,mold=vmold)
call psb_geasb(bg,desc_a,info,scratch=.true.,mold=vmold)
call psb_barrier(ctxt)
t1 = psb_wtime()
call agpu%cscnv(info,mold=agmold)
11 months ago
call psb_cuda_DeviceSync()
t2 = psb_Wtime() -t1
call psb_amx(ctxt,t2)
if (j==1) tcnvg1 = t2
tcnvgpu = tcnvgpu + t2
#endif
end do
call xv%set(x0)
call psb_barrier(ctxt)
t1 = psb_wtime()
do i=1,ntests
call psb_spmm(sone,a,xv,szero,bv,desc_a,info)
end do
call psb_barrier(ctxt)
t2 = psb_wtime() - t1
call psb_amx(ctxt,t2)
#ifdef HAVE_CUDA
call xg%set(x0)
! FIXME: cache flush needed here
x1 = bv%get_vect()
x2 = bg%get_vect()
call psb_barrier(ctxt)
tt1 = psb_wtime()
do i=1,ntests
call psb_spmm(sone,agpu,xv,szero,bg,desc_a,info)
if ((info /= 0).or.(psb_get_errstatus()/=0)) then
write(0,*) 'From 1 spmm',info,i,ntests
call psb_error()
stop
end if
end do
11 months ago
call psb_cuda_DeviceSync()
call psb_barrier(ctxt)
tt2 = psb_wtime() - tt1
call psb_amx(ctxt,tt2)
x1 = bv%get_vect()
x2 = bg%get_vect()
nr = desc_a%get_local_rows()
eps = maxval(abs(x1(1:nr)-x2(1:nr)))
call psb_amx(ctxt,eps)
if (iam==0) write(*,*) 'Max diff on xGPU',eps
! FIXME: cache flush needed here
call xg%set(x0)
call xg%sync()
call psb_barrier(ctxt)
gt1 = psb_wtime()
do i=1,ntests*ngpu
call psb_spmm(sone,agpu,xg,szero,bg,desc_a,info)
! For timing purposes we need to make sure all threads
! in the device are done.
if ((info /= 0).or.(psb_get_errstatus()/=0)) then
write(0,*) 'From 2 spmm',info,i,ntests
call psb_error()
stop
end if
end do
11 months ago
call psb_cuda_DeviceSync()
call psb_barrier(ctxt)
gt2 = psb_wtime() - gt1
call psb_amx(ctxt,gt2)
call bg%sync()
x1 = bv%get_vect()
x2 = bg%get_vect()
call psb_geaxpby(-sone,bg,+sone,bv,desc_a,info)
eps = psb_geamax(bv,desc_a,info)
call psb_amx(ctxt,t2)
eps = maxval(abs(x1(1:nr)-x2(1:nr)))
call psb_amx(ctxt,eps)
if (iam==0) write(*,*) 'Max diff on GPU',eps
if (dump) then
write(fname,'(a,i3.3,a,i3.3,a)')'XCPU-out-',iam,'-',np,'.mtx'
call mm_array_write(x1(1:nr),'Local part CPU',info,filename=fname)
write(fname,'(a,i3.3,a,i3.3,a)')'XGPU-out-',iam,'-',np,'.mtx'
call mm_array_write(x2(1:nr),'Local part GPU',info,filename=fname)
end if
#endif
annz = a%get_nzeros()
amatsize = a%sizeof()
descsize = psb_sizeof(desc_a)
call psb_sum(ctxt,nr)
call psb_sum(ctxt,annz)
call psb_sum(ctxt,amatsize)
call psb_sum(ctxt,descsize)
if (iam == psb_root_) then
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
flops = ntests*(2.d0*annz)
tflops = flops
gflops = flops * ngpu
write(psb_out_unit,'("Storage type for A: ",a)') a%get_fmt()
#ifdef HAVE_CUDA
write(psb_out_unit,'("Storage type for AGPU: ",a)') agpu%get_fmt()
write(psb_out_unit,'("Time to convert A from COO to CPU (1): ",F20.9)')&
& tcnvc1
write(psb_out_unit,'("Time to convert A from COO to CPU (t): ",F20.9)')&
& tcnvcsr
write(psb_out_unit,'("Time to convert A from COO to CPU (a): ",F20.9)')&
& tcnvcsr/ncnv
write(psb_out_unit,'("Time to convert A from COO to GPU (1): ",F20.9)')&
& tcnvg1
write(psb_out_unit,'("Time to convert A from COO to GPU (t): ",F20.9)')&
& tcnvgpu
write(psb_out_unit,'("Time to convert A from COO to GPU (a): ",F20.9)')&
& tcnvgpu/ncnv
#endif
write(psb_out_unit,&
& '("Number of flops (",i0," prod) : ",F20.0," ")') &
& ntests,flops
flops = flops / (t2)
tflops = tflops / (tt2)
gflops = gflops / (gt2)
write(psb_out_unit,'("Time for ",i6," products (s) (CPU) : ",F20.3)')&
& ntests,t2
write(psb_out_unit,'("Time per product (ms) (CPU) : ",F20.3)')&
& t2*1.d3/(1.d0*ntests)
write(psb_out_unit,'("MFLOPS (CPU) : ",F20.3)')&
& flops/1.d6
#ifdef HAVE_CUDA
write(psb_out_unit,'("Time for ",i6," products (s) (xGPU) : ",F20.3)')&
& ntests, tt2
write(psb_out_unit,'("Time per product (ms) (xGPU) : ",F20.3)')&
& tt2*1.d3/(1.d0*ntests)
write(psb_out_unit,'("MFLOPS (xGPU) : ",F20.3)')&
& tflops/1.d6
write(psb_out_unit,'("Time for ",i6," products (s) (GPU.) : ",F20.3)')&
& ngpu*ntests,gt2
write(psb_out_unit,'("Time per product (ms) (GPU.) : ",F20.3)')&
& gt2*1.d3/(1.d0*ntests*ngpu)
write(psb_out_unit,'("MFLOPS (GPU.) : ",F20.3)')&
& gflops/1.d6
#endif
!
! This computation assumes the data movement associated with CSR:
! it is minimal in terms of coefficients. Other formats may either move
! more data (padding etc.) or less data (if they can save on the indices).
!
nbytes = nr*(2*psb_sizeof_sp + psb_sizeof_ip)+&
& annz*(psb_sizeof_sp + psb_sizeof_ip)
bdwdth = ntests*nbytes/(t2*1.d6)
write(psb_out_unit,*)
write(psb_out_unit,'("MBYTES/S sust. effective bandwidth (CPU) : ",F20.3)') bdwdth
#ifdef HAVE_CUDA
bdwdth = ngpu*ntests*nbytes/(gt2*1.d6)
write(psb_out_unit,'("MBYTES/S sust. effective bandwidth (GPU) : ",F20.3)') bdwdth
11 months ago
bdwdth = psb_cuda_MemoryPeakBandwidth()
write(psb_out_unit,'("MBYTES/S peak bandwidth (GPU) : ",F20.3)') bdwdth
#endif
write(psb_out_unit,'("Storage type for DESC_A: ",a)') desc_a%indxmap%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
#ifdef HAVE_CUDA
11 months ago
call psb_cuda_exit()
#endif
call psb_exit(ctxt)
stop
9999 continue
call psb_error(ctxt)
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ctxt,acfmt,agfmt,idim)
type(psb_ctxt_type) :: ctxt
character(len=*) :: agfmt, acfmt
integer :: idim
integer :: np, iam
integer :: intbuf(10), ip
call psb_info(ctxt, iam, np)
if (iam == 0) then
write(*,*) 'CPU side format?'
read(psb_inp_unit,*) acfmt
11 months ago
write(*,*) 'CUDA side format?'
read(psb_inp_unit,*) agfmt
write(*,*) 'Size of discretization cube?'
read(psb_inp_unit,*) idim
endif
call psb_bcast(ctxt,acfmt)
call psb_bcast(ctxt,agfmt)
call psb_bcast(ctxt,idim)
if (iam == 0) then
write(psb_out_unit,'("Testing 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,'(" ")')
end if
return
end subroutine get_parms
end program pdgenmv