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85 lines
3.4 KiB
Fortran
85 lines
3.4 KiB
Fortran
! Parallel Sparse BLAS GPU plugin
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! (C) Copyright 2013
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!
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! Salvatore Filippone
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! Alessandro Fanfarillo
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!
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! Redistribution and use in source and binary forms, with or without
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! modification, are permitted provided that the following conditions
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! are met:
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! 1. Redistributions of source code must retain the above copyright
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! notice, this list of conditions and the following disclaimer.
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! 2. Redistributions in binary form must reproduce the above copyright
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! notice, this list of conditions, and the following disclaimer in the
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! documentation and/or other materials provided with the distribution.
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! 3. The name of the PSBLAS group or the names of its contributors may
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! not be used to endorse or promote products derived from this
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! software without specific written permission.
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!
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! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE PSBLAS GROUP OR ITS CONTRIBUTORS
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! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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! POSSIBILITY OF SUCH DAMAGE.
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!
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subroutine psb_c_cuda_elg_to_gpu(a,info,nzrm)
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use psb_base_mod
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use elldev_mod
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use psb_vectordev_mod
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use psb_c_cuda_elg_mat_mod, psb_protect_name => psb_c_cuda_elg_to_gpu
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implicit none
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class(psb_c_cuda_elg_sparse_mat), intent(inout) :: a
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integer(psb_ipk_), intent(out) :: info
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integer(psb_ipk_), intent(in), optional :: nzrm
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integer(psb_ipk_) :: m, nzm, n, pitch,maxrowsize, nzt
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type(elldev_parms) :: gpu_parms
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info = 0
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if ((.not.allocated(a%val)).or.(.not.allocated(a%ja))) return
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m = a%get_nrows()
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nzm = psb_size(a%val,2)
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n = a%get_ncols()
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nzt = a%get_nzeros()
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if (present(nzrm)) nzm = max(nzm,nzrm)
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gpu_parms = FgetEllDeviceParams(m,nzm,nzt,n,spgpu_type_complex_float,1)
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if (c_associated(a%deviceMat)) then
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pitch = getEllDevicePitch(a%deviceMat)
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maxrowsize = getEllDeviceMaxRowSize(a%deviceMat)
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else
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pitch = -1
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maxrowsize = -1
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end if
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if ((pitch /= gpu_parms%pitch).or.(maxrowsize /= gpu_parms%maxRowSize)) then
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if (c_associated(a%deviceMat)) then
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call freeEllDevice(a%deviceMat)
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endif
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info = FallocEllDevice(a%deviceMat,m,nzm,nzt,n,spgpu_type_complex_float,1)
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pitch = getEllDevicePitch(a%deviceMat)
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maxrowsize = getEllDeviceMaxRowSize(a%deviceMat)
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end if
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if (info == 0) then
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if ((pitch /= psb_size(a%val,1)).or.(maxrowsize /= psb_size(a%val,2))) then
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call psb_realloc(pitch,maxrowsize,a%val,info)
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if (info == 0) call psb_realloc(pitch,maxrowsize,a%ja,info)
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end if
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end if
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if (info == 0) info = &
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& writeEllDevice(a%deviceMat,a%val,a%ja,size(a%ja,1),a%irn,a%idiag)
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call a%set_sync()
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end subroutine psb_c_cuda_elg_to_gpu
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