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150 lines
6.1 KiB
Fortran
150 lines
6.1 KiB
Fortran
!
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! Parallel Sparse BLAS version 3.5
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! (C) Copyright 2006-2018
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! Salvatore Filippone
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! Alfredo Buttari
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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 without 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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!
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! module: psb_d_nest_mat_mod
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! Author: Simone Staccone (Stack-1)
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!
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! Defines psb_d_nest_sparse_mat: a block-structured distributed sparse
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! matrix for double precision real arithmetic.
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!
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! The matrix is stored as a 2-D array of psb_dspmat_type sub-matrices.
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! Block presence is determined directly from the sub-matrix storage: a block
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! (i,j) is present iff mats(i,j)%a is allocated (absent blocks contribute zero
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! to any product). There is no separate presence flag array.
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!
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! Descriptor convention (current nested design)
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! ---------------------------------------------
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! Each matrix block (i,j) is associated with descs(i,j) from the
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! corresponding psb_desc_nest_type. Nested tools (psb_spall_nest,
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! psb_spins_nest, psb_spasb_nest, psb_spmm) consistently pass
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! descs(i,j) together with mats(i,j).
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!
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! A block may be structurally absent (NULL/zero): this is represented by
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! mats(i,j) left unbuilt (mats(i,j)%a not allocated). In that case the
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! block contributes zero and is skipped by nested kernels.
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!
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! Descriptor storage is distinct from matrix presence: descriptors are
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! typically defined for all block positions in descs(:,:), while actual
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! matrix blocks may be present only on a subset.
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!
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! Reference examples in test/pdegen:
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! * psb_d_pde_nest.full.F90 (A(2,2) left NULL, mats(2,2)%a not allocated)
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! * psb_d_nest_tools.F90 and psb_d_pde_nest_full_tools.F90
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! (2-D desc_nest%descs(i,j) used in nested allocation/assembly).
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!
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module psb_d_nest_mat_mod
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use psb_d_mat_mod
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implicit none
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type :: psb_d_nest_sparse_mat
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integer(psb_ipk_) :: nrblocks = 0
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integer(psb_ipk_) :: ncblocks = 0
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type(psb_dspmat_type), allocatable :: mats(:,:)
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contains
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procedure :: get_nrblocks => psb_d_nest_mat_get_nrb
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procedure :: get_ncblocks => psb_d_nest_mat_get_ncb
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procedure :: has_block => psb_d_nest_mat_has_block
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procedure :: sizeof => psb_d_nest_mat_sizeof
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procedure :: free => psb_d_nest_mat_free
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end type psb_d_nest_sparse_mat
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contains
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! get_nrblocks / get_ncblocks
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function psb_d_nest_mat_get_nrb(a) result(n)
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class(psb_d_nest_sparse_mat), intent(in) :: a
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integer(psb_ipk_) :: n
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n = a%nrblocks
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end function psb_d_nest_mat_get_nrb
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function psb_d_nest_mat_get_ncb(a) result(n)
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class(psb_d_nest_sparse_mat), intent(in) :: a
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integer(psb_ipk_) :: n
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n = a%ncblocks
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end function psb_d_nest_mat_get_ncb
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! has_block: return .true. if block (i,j) is non-null
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function psb_d_nest_mat_has_block(a, i_block_row, j_block_col) result(has)
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class(psb_d_nest_sparse_mat), intent(in) :: a
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integer(psb_ipk_), intent(in) :: i_block_row, j_block_col
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logical :: has
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has = .false.
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if (i_block_row < 1 .or. i_block_row > a%nrblocks) return
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if (j_block_col < 1 .or. j_block_col > a%ncblocks) return
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if (.not. allocated(a%mats)) return
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! P3: presence is determined solely by whether the sub-matrix has been
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! built (its polymorphic storage %a is allocated). No parallel flag array.
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has = allocated(a%mats(i_block_row, j_block_col)%a)
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end function psb_d_nest_mat_has_block
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! sizeof: total storage across all allocated sub-matrices
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function psb_d_nest_mat_sizeof(a) result(total_bytes)
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class(psb_d_nest_sparse_mat), intent(in) :: a
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integer(psb_epk_) :: total_bytes
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integer(psb_ipk_) :: i_block_row, j_block_col
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total_bytes = 0_psb_epk_
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if (allocated(a%mats)) then
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do j_block_col = 1, a%ncblocks
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do i_block_row = 1, a%nrblocks
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if (allocated(a%mats(i_block_row, j_block_col)%a)) &
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& total_bytes = total_bytes + a%mats(i_block_row, j_block_col)%sizeof()
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end do
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end do
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end if
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end function psb_d_nest_mat_sizeof
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! free: release all sub-matrices
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subroutine psb_d_nest_mat_free(a, info)
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class(psb_d_nest_sparse_mat), intent(inout) :: a
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integer(psb_ipk_), intent(out) :: info
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integer(psb_ipk_) :: i_block_row, j_block_col, local_info
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info = 0
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if (allocated(a%mats)) then
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do j_block_col = 1, a%ncblocks
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do i_block_row = 1, a%nrblocks
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if (allocated(a%mats(i_block_row, j_block_col)%a)) then
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call a%mats(i_block_row, j_block_col)%free()
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end if
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end do
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end do
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deallocate(a%mats, stat=local_info)
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if (local_info /= 0 .and. info == 0) info = local_info
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end if
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a%nrblocks = 0
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a%ncblocks = 0
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end subroutine psb_d_nest_mat_free
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end module psb_d_nest_mat_mod
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