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psblas3/cuda/impl/psb_z_cuda_elg_to_gpu.F90

85 lines
3.4 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.
!
subroutine psb_z_cuda_elg_to_gpu(a,info,nzrm)
use psb_base_mod
use elldev_mod
use psb_vectordev_mod
use psb_z_cuda_elg_mat_mod, psb_protect_name => psb_z_cuda_elg_to_gpu
implicit none
class(psb_z_cuda_elg_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, nzt
type(elldev_parms) :: gpu_parms
info = 0
if ((.not.allocated(a%val)).or.(.not.allocated(a%ja))) return
m = a%get_nrows()
nzm = psb_size(a%val,2)
n = a%get_ncols()
nzt = a%get_nzeros()
if (present(nzrm)) nzm = max(nzm,nzrm)
gpu_parms = FgetEllDeviceParams(m,nzm,nzt,n,spgpu_type_complex_double,1)
if (c_associated(a%deviceMat)) then
pitch = getEllDevicePitch(a%deviceMat)
maxrowsize = getEllDeviceMaxRowSize(a%deviceMat)
else
pitch = -1
maxrowsize = -1
end if
if ((pitch /= gpu_parms%pitch).or.(maxrowsize /= gpu_parms%maxRowSize)) then
if (c_associated(a%deviceMat)) then
call freeEllDevice(a%deviceMat)
endif
info = FallocEllDevice(a%deviceMat,m,nzm,nzt,n,spgpu_type_complex_double,1)
pitch = getEllDevicePitch(a%deviceMat)
maxrowsize = getEllDeviceMaxRowSize(a%deviceMat)
end if
if (info == 0) then
if ((pitch /= psb_size(a%val,1)).or.(maxrowsize /= psb_size(a%val,2))) then
call psb_realloc(pitch,maxrowsize,a%val,info)
if (info == 0) call psb_realloc(pitch,maxrowsize,a%ja,info)
end if
end if
if (info == 0) info = &
& writeEllDevice(a%deviceMat,a%val,a%ja,size(a%ja,1),a%irn,a%idiag)
call a%set_sync()
end subroutine psb_z_cuda_elg_to_gpu