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87 lines
3.3 KiB
Fortran
87 lines
3.3 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_d_cuda_mv_elg_from_fmt(a,b,info)
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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_d_cuda_elg_mat_mod, psb_protect_name => psb_d_cuda_mv_elg_from_fmt
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implicit none
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class(psb_d_cuda_elg_sparse_mat), intent(inout) :: a
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class(psb_d_base_sparse_mat), intent(inout) :: b
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integer(psb_ipk_), intent(out) :: info
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!locals
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type(psb_d_coo_sparse_mat) :: tmp
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Integer(Psb_ipk_) :: nza, nr, i,j,irw, idl,err_act, nc, ld, nzm, m
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type(elldev_parms) :: gpu_parms
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info = psb_success_
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if (b%is_dev()) call b%sync()
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select type (b)
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type is (psb_d_coo_sparse_mat)
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call a%mv_from_coo(b,info)
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class is (psb_d_ell_sparse_mat)
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nzm = size(b%ja,2)
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m = b%get_nrows()
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nc = b%get_ncols()
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nza = b%get_nzeros()
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gpu_parms = FgetEllDeviceParams(m,nzm,nza,nc,spgpu_type_double,1)
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ld = gpu_parms%pitch
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nzm = gpu_parms%maxRowSize
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a%psb_d_base_sparse_mat = b%psb_d_base_sparse_mat
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call move_alloc(b%irn, a%irn)
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call move_alloc(b%idiag, a%idiag)
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call psb_realloc(ld,nzm,a%ja,info)
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if (info == 0) then
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a%ja(1:m,1:nzm) = b%ja(1:m,1:nzm)
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deallocate(b%ja,stat=info)
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end if
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if (info == 0) call psb_realloc(ld,nzm,a%val,info)
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if (info == 0) then
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a%val(1:m,1:nzm) = b%val(1:m,1:nzm)
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deallocate(b%val,stat=info)
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end if
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a%nzt = nza
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call b%free()
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call a%to_gpu(info)
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class default
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call b%mv_to_coo(tmp,info)
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if (info == psb_success_) call a%mv_from_coo(tmp,info)
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end select
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end subroutine psb_d_cuda_mv_elg_from_fmt
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