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psblas3/cuda/impl/psb_d_cuda_hybg_to_gpu.F90

149 lines
6.0 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.
!
#if CUDA_SHORT_VERSION <= 10
subroutine psb_d_cuda_hybg_to_gpu(a,info,nzrm)
use psb_base_mod
use cusparse_mod
use psb_d_cuda_hybg_mat_mod, psb_protect_name => psb_d_cuda_hybg_to_gpu
implicit none
class(psb_d_cuda_hybg_sparse_mat), intent(inout) :: a
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: nzrm
integer(psb_ipk_) :: m, nzm, n, pitch,maxrowsize,nz
integer(psb_ipk_) :: nzdi,i,j,k,nrz
integer(psb_ipk_), allocatable :: irpdi(:),jadi(:)
real(psb_dpk_), allocatable :: valdi(:)
info = 0
if ((.not.allocated(a%val)).or.(.not.allocated(a%ja))) return
m = a%get_nrows()
n = a%get_ncols()
nz = a%get_nzeros()
if (c_associated(a%deviceMat%Mat)) then
info = HYBGDeviceFree(a%deviceMat)
end if
if (a%is_unit()) then
!
! CUSPARSE has the habit of storing the diagonal and then ignoring,
! whereas we do not store it. Hence this adapter code.
!
nzdi = nz + m
if (info == 0) info = HYBGDeviceAlloc(a%deviceMat,m,n,nzdi)
if (info == 0) info = HYBGDeviceSetMatIndexBase(a%deviceMat,cusparse_index_base_one)
! We are explicitly adding the diagonal
if (info == 0) info = HYBGDeviceSetMatDiagType(a%deviceMat,cusparse_diag_type_non_unit)
! Dirty trick: CUSPARSE 4.1 wants to have a matrix declared GENERAL when
! doing csr2hyb (inside Host2Device), so we do it here, and afterwards overwrite with
! TRIANGULAR if needed. Weird, but works.
if (info == 0) info = HYBGDeviceSetMatType(a%deviceMat,cusparse_matrix_type_general)
if (info == 0) allocate(irpdi(m+1),jadi(nzdi),valdi(nzdi),stat=info)
if (info == 0) then
irpdi(1) = 1
if (a%is_triangle().and.a%is_upper()) then
do i=1,m
j = irpdi(i)
jadi(j) = i
valdi(j) = done
nrz = a%irp(i+1)-a%irp(i)
jadi(j+1:j+nrz) = a%ja(a%irp(i):a%irp(i+1)-1)
valdi(j+1:j+nrz) = a%val(a%irp(i):a%irp(i+1)-1)
irpdi(i+1) = j + nrz + 1
! write(0,*) 'Row ',i,' : ',irpdi(i:i+1),':',jadi(j:j+nrz),valdi(j:j+nrz)
end do
else
do i=1,m
j = irpdi(i)
nrz = a%irp(i+1)-a%irp(i)
jadi(j+0:j+nrz-1) = a%ja(a%irp(i):a%irp(i+1)-1)
valdi(j+0:j+nrz-1) = a%val(a%irp(i):a%irp(i+1)-1)
jadi(j+nrz) = i
valdi(j+nrz) = done
irpdi(i+1) = j + nrz + 1
! write(0,*) 'Row ',i,' : ',irpdi(i:i+1),':',jadi(j:j+nrz),valdi(j:j+nrz)
end do
end if
end if
if (info == 0) info = HYBGHost2Device(a%deviceMat,m,n,nzdi,irpdi,jadi,valdi)
if ((info == 0) .and. a%is_triangle()) then
info = HYBGDeviceSetMatType(a%deviceMat,cusparse_matrix_type_triangular)
if ((info == 0).and.a%is_upper()) then
info = HYBGDeviceSetMatFillMode(a%deviceMat,cusparse_fill_mode_upper)
else
info = HYBGDeviceSetMatFillMode(a%deviceMat,cusparse_fill_mode_lower)
end if
end if
else
if (info == 0) info = HYBGDeviceAlloc(a%deviceMat,m,n,nz)
if (info == 0) info = HYBGDeviceSetMatIndexBase(a%deviceMat,cusparse_index_base_one)
! Dirty trick: CUSPARSE 4.1 wants to have a matrix declared GENERAL when
! doing csr2hyb (inside Host2Device), so we do it here, and afterwards overwrite with
! TRIANGULAR if needed. Weird, but works.
if (info == 0) info = HYBGDeviceSetMatType(a%deviceMat,cusparse_matrix_type_general)
if (info == 0) then
if (a%is_unit()) then
info = HYBGDeviceSetMatDiagType(a%deviceMat,cusparse_diag_type_unit)
else
info = HYBGDeviceSetMatDiagType(a%deviceMat,cusparse_diag_type_non_unit)
end if
end if
if (info == 0) info = HYBGHost2Device(a%deviceMat,m,n,nz,a%irp,a%ja,a%val)
if ((info == 0) .and. a%is_triangle()) then
info = HYBGDeviceSetMatType(a%deviceMat,cusparse_matrix_type_triangular)
if ((info == 0).and.a%is_upper()) then
info = HYBGDeviceSetMatFillMode(a%deviceMat,cusparse_fill_mode_upper)
else
info = HYBGDeviceSetMatFillMode(a%deviceMat,cusparse_fill_mode_lower)
end if
end if
endif
if ((info == 0) .and. a%is_triangle()) then
info = HYBGDeviceHybsmAnalysis(a%deviceMat)
end if
if (info /= 0) then
write(0,*) 'Error in HYBG_TO_GPU ',info
end if
end subroutine psb_d_cuda_hybg_to_gpu
#endif