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468 lines
16 KiB
Fortran
468 lines
16 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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module psb_d_dns_mat_mod
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use psb_d_base_mat_mod
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type, extends(psb_d_base_sparse_mat) :: psb_d_dns_sparse_mat
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!
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! DNS format: a very simple dense matrix storage
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! psb_dpk_ : kind for double precision reals
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! psb_ipk_: kind for normal integers.
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! psb_sizeof_dp: variable holding size in bytes of
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! a double
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! psb_sizeof_ip: size in bytes of an integer
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!
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! psb_realloc(n,v,info) Reallocate: does what it says
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! psb_realloc(m,n,a,info) on rank 1 and 2 arrays, may start
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! from unallocated
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!
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!
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integer(psb_ipk_) :: nnz
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real(psb_dpk_), allocatable :: val(:,:)
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contains
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procedure, pass(a) :: get_size => d_dns_get_size
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procedure, pass(a) :: get_nzeros => d_dns_get_nzeros
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procedure, nopass :: get_fmt => d_dns_get_fmt
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procedure, pass(a) :: sizeof => d_dns_sizeof
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procedure, pass(a) :: csmv => psb_d_dns_csmv
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procedure, pass(a) :: csmm => psb_d_dns_csmm
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procedure, pass(a) :: csnmi => psb_d_dns_csnmi
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procedure, pass(a) :: reallocate_nz => psb_d_dns_reallocate_nz
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procedure, pass(a) :: allocate_mnnz => psb_d_dns_allocate_mnnz
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procedure, pass(a) :: cp_to_coo => psb_d_cp_dns_to_coo
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procedure, pass(a) :: cp_from_coo => psb_d_cp_dns_from_coo
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procedure, pass(a) :: mv_to_coo => psb_d_mv_dns_to_coo
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procedure, pass(a) :: mv_from_coo => psb_d_mv_dns_from_coo
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procedure, pass(a) :: get_diag => psb_d_dns_get_diag
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procedure, pass(a) :: csgetrow => psb_d_dns_csgetrow
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procedure, pass(a) :: get_nz_row => d_dns_get_nz_row
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procedure, pass(a) :: trim => psb_d_dns_trim
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procedure, pass(a) :: free => d_dns_free
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procedure, pass(a) :: mold => psb_d_dns_mold
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end type psb_d_dns_sparse_mat
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private :: d_dns_get_nzeros, d_dns_free, d_dns_get_fmt, &
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& d_dns_get_size, d_dns_sizeof, d_dns_get_nz_row
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!
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!
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!> Function reallocate_nz
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!! \memberof psb_d_dns_sparse_mat
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!! \brief One--parameters version of (re)allocate
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!!
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!! \param nz number of nonzeros to allocate for
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!! i.e. makes sure that the internal storage
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!! allows for NZ coefficients and their indices.
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!
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interface
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subroutine psb_d_dns_reallocate_nz(nz,a)
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import :: psb_d_dns_sparse_mat, psb_ipk_
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integer(psb_ipk_), intent(in) :: nz
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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end subroutine psb_d_dns_reallocate_nz
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end interface
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!> Function trim
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Memory trim
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!! Make sure the memory allocation of the sparse matrix is as tight as
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!! possible given the actual number of nonzeros it contains.
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!
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interface
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subroutine psb_d_dns_trim(a)
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import :: psb_d_dns_sparse_mat
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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end subroutine psb_d_dns_trim
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end interface
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!
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!> Function mold:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Allocate a class(psb_d_dns_sparse_mat) with the
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!! same dynamic type as the input.
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!! This is equivalent to allocate( mold= ) and is provided
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!! for those compilers not yet supporting mold.
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!! \param b The output variable
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!! \param info return code
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!
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interface
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subroutine psb_d_dns_mold(a,b,info)
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import :: psb_d_dns_sparse_mat, psb_d_base_sparse_mat, psb_epk_, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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class(psb_d_base_sparse_mat), intent(inout), allocatable :: b
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_dns_mold
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end interface
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!
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!
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!> Function allocate_mnnz
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Three-parameters version of allocate
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!!
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!! \param m number of rows
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!! \param n number of cols
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!! \param nz [estimated internally] number of nonzeros to allocate for
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!
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interface
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subroutine psb_d_dns_allocate_mnnz(m,n,a,nz)
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import :: psb_d_dns_sparse_mat, psb_ipk_
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integer(psb_ipk_), intent(in) :: m,n
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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integer(psb_ipk_), intent(in), optional :: nz
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end subroutine psb_d_dns_allocate_mnnz
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end interface
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!
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!> Function cp_to_coo:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Copy and convert to psb_d_coo_sparse_mat
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!! Invoked from the source object.
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!! \param b The output variable
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!! \param info return code
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!
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interface
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subroutine psb_d_cp_dns_to_coo(a,b,info)
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import :: psb_d_coo_sparse_mat, psb_d_dns_sparse_mat, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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class(psb_d_coo_sparse_mat), intent(inout) :: b
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_cp_dns_to_coo
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end interface
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!
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!> Function cp_from_coo:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Copy and convert from psb_d_coo_sparse_mat
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!! Invoked from the target object.
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!! \param b The input variable
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!! \param info return code
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!
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interface
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subroutine psb_d_cp_dns_from_coo(a,b,info)
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import :: psb_d_dns_sparse_mat, psb_d_coo_sparse_mat, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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class(psb_d_coo_sparse_mat), intent(in) :: b
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_cp_dns_from_coo
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end interface
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!
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!> Function mv_to_coo:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Convert to psb_d_coo_sparse_mat, freeing the source.
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!! Invoked from the source object.
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!! \param b The output variable
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!! \param info return code
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!
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interface
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subroutine psb_d_mv_dns_to_coo(a,b,info)
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import :: psb_d_dns_sparse_mat, psb_d_coo_sparse_mat, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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class(psb_d_coo_sparse_mat), intent(inout) :: b
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_mv_dns_to_coo
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end interface
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!
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!> Function mv_from_coo:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Convert from psb_d_coo_sparse_mat, freeing the source.
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!! Invoked from the target object.
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!! \param b The input variable
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!! \param info return code
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!
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interface
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subroutine psb_d_mv_dns_from_coo(a,b,info)
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import :: psb_d_dns_sparse_mat, psb_d_coo_sparse_mat, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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class(psb_d_coo_sparse_mat), intent(inout) :: b
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_mv_dns_from_coo
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end interface
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!
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!
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!> Function csgetrow:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Get a (subset of) row(s)
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!!
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!! getrow is the basic method by which the other (getblk, clip) can
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!! be implemented.
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!!
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!! Returns the set
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!! NZ, IA(1:nz), JA(1:nz), VAL(1:NZ)
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!! each identifying the position of a nonzero in A
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!! i.e.
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!! VAL(1:NZ) = A(IA(1:NZ),JA(1:NZ))
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!! with IMIN<=IA(:)<=IMAX
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!! with JMIN<=JA(:)<=JMAX
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!! IA,JA are reallocated as necessary.
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!!
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!! \param imin the minimum row index we are interested in
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!! \param imax the minimum row index we are interested in
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!! \param nz the number of output coefficients
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!! \param ia(:) the output row indices
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!! \param ja(:) the output col indices
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!! \param val(:) the output coefficients
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!! \param info return code
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!! \param jmin [1] minimum col index
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!! \param jmax [a\%get_ncols()] maximum col index
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!! \param iren(:) [none] an array to return renumbered indices (iren(ia(:)),iren(ja(:))
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!! \param rscale [false] map [min(ia(:)):max(ia(:))] onto [1:max(ia(:))-min(ia(:))+1]
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!! \param cscale [false] map [min(ja(:)):max(ja(:))] onto [1:max(ja(:))-min(ja(:))+1]
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!! ( iren cannot be specified with rscale/cscale)
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!! \param append [false] append to ia,ja
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!! \param nzin [none] if append, then first new entry should go in entry nzin+1
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!!
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!
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interface
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subroutine psb_d_dns_csgetrow(imin,imax,a,nz,ia,ja,val,info,&
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& jmin,jmax,iren,append,nzin,rscale,cscale,chksz)
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import :: psb_d_dns_sparse_mat, psb_dpk_, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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integer(psb_ipk_), intent(in) :: imin,imax
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integer(psb_ipk_), intent(out) :: nz
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integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
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real(psb_dpk_), allocatable, intent(inout) :: val(:)
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integer(psb_ipk_),intent(out) :: info
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logical, intent(in), optional :: append
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integer(psb_ipk_), intent(in), optional :: iren(:)
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integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
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logical, intent(in), optional :: rscale,cscale,chksz
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end subroutine psb_d_dns_csgetrow
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end interface
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!> Function csmv:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Product by a dense rank 1 array.
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!!
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!! Compute
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!! Y = alpha*op(A)*X + beta*Y
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!!
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!! \param alpha Scaling factor for Ax
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!! \param A the input sparse matrix
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!! \param x(:) the input dense X
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!! \param beta Scaling factor for y
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!! \param y(:) the input/output dense Y
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!! \param info return code
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!! \param trans [N] Whether to use A (N), its transpose (T)
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!! or its conjugate transpose (C)
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!!
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!
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interface
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subroutine psb_d_dns_csmv(alpha,a,x,beta,y,info,trans)
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import :: psb_d_dns_sparse_mat, psb_dpk_, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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real(psb_dpk_), intent(in) :: alpha, beta, x(:)
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real(psb_dpk_), intent(inout) :: y(:)
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integer(psb_ipk_), intent(out) :: info
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character, optional, intent(in) :: trans
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end subroutine psb_d_dns_csmv
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end interface
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!> Function csmm:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Product by a dense rank 2 array.
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!!
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!! Compute
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!! Y = alpha*op(A)*X + beta*Y
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!!
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!! \param alpha Scaling factor for Ax
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!! \param A the input sparse matrix
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!! \param x(:,:) the input dense X
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!! \param beta Scaling factor for y
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!! \param y(:,:) the input/output dense Y
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!! \param info return code
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!! \param trans [N] Whether to use A (N), its transpose (T)
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!! or its conjugate transpose (C)
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!!
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!
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interface
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subroutine psb_d_dns_csmm(alpha,a,x,beta,y,info,trans)
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import :: psb_d_dns_sparse_mat, psb_dpk_, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
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real(psb_dpk_), intent(inout) :: y(:,:)
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integer(psb_ipk_), intent(out) :: info
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character, optional, intent(in) :: trans
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end subroutine psb_d_dns_csmm
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end interface
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!
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!
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!> Function csnmi:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Operator infinity norm
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!! CSNMI = MAXVAL(SUM(ABS(A(:,:)),dim=2))
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!!
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!
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interface
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function psb_d_dns_csnmi(a) result(res)
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import :: psb_d_dns_sparse_mat, psb_dpk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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real(psb_dpk_) :: res
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end function psb_d_dns_csnmi
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end interface
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!
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!> Function get_diag:
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Extract the diagonal of A.
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!!
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!! D(i) = A(i:i), i=1:min(nrows,ncols)
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!!
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!! \param d(:) The output diagonal
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!! \param info return code.
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!
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interface
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subroutine psb_d_dns_get_diag(a,d,info)
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import :: psb_d_dns_sparse_mat, psb_dpk_, psb_ipk_
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class(psb_d_dns_sparse_mat), intent(in) :: a
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real(psb_dpk_), intent(out) :: d(:)
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integer(psb_ipk_), intent(out) :: info
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end subroutine psb_d_dns_get_diag
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end interface
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contains
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!
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!> Function sizeof
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Memory occupation in bytes
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!
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function d_dns_sizeof(a) result(res)
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implicit none
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class(psb_d_dns_sparse_mat), intent(in) :: a
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integer(psb_epk_) :: res
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res = psb_sizeof_dp * size(a%val)
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res = res + psb_sizeof_ip
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end function d_dns_sizeof
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!
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!> Function get_fmt
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!! \memberof psb_d_dns_sparse_mat
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!! \brief return a short descriptive name (e.g. COO CSR etc.)
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!
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function d_dns_get_fmt() result(res)
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implicit none
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character(len=5) :: res
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res = 'DNS'
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end function d_dns_get_fmt
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!
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!> Function get_nzeros
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Current number of nonzero entries
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!
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function d_dns_get_nzeros(a) result(res)
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implicit none
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class(psb_d_dns_sparse_mat), intent(in) :: a
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integer(psb_ipk_) :: res
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res = a%nnz
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end function d_dns_get_nzeros
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!
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!> Function get_size
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!! \memberof psb_d_dns_sparse_mat
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!! \brief Maximum number of nonzeros the current structure can hold
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! this is fixed once you initialize the matrix, with dense storage
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! you can hold up to MxN entries
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function d_dns_get_size(a) result(res)
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implicit none
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class(psb_d_dns_sparse_mat), intent(in) :: a
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integer(psb_ipk_) :: res
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res = size(a%val)
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end function d_dns_get_size
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!
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!> Function get_nz_row.
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!! \memberof psb_d_coo_sparse_mat
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!! \brief How many nonzeros in a row?
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!!
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!! \param idx The row to search.
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!!
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!
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function d_dns_get_nz_row(idx,a) result(res)
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implicit none
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class(psb_d_dns_sparse_mat), intent(in) :: a
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integer(psb_ipk_), intent(in) :: idx
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integer(psb_ipk_) :: res
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res = 0
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if ((1<=idx).and.(idx<=a%get_nrows())) then
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res = count(a%val(idx,:) /= dzero)
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end if
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end function d_dns_get_nz_row
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!
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!> Function free
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!! \memberof psb_d_dns_sparse_mat
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!! Name says all
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subroutine d_dns_free(a)
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implicit none
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class(psb_d_dns_sparse_mat), intent(inout) :: a
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if (allocated(a%val)) deallocate(a%val)
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a%nnz = 0
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!
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! Mark the object as empty just in case
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!
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call a%set_null()
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call a%set_nrows(izero)
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call a%set_ncols(izero)
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return
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end subroutine d_dns_free
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end module psb_d_dns_mat_mod
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