mirror of
https://github.com/tildearrow/furnace.git
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131 lines
3.8 KiB
C
131 lines
3.8 KiB
C
/*
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* Copyright (c) 2003, 2007-14 Matteo Frigo
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* Copyright (c) 2003, 2007-14 Massachusetts Institute of Technology
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*
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*/
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#include "ifftw-mpi.h"
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INT XM(num_blocks)(INT n, INT block)
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{
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return (n + block - 1) / block;
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}
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int XM(num_blocks_ok)(INT n, INT block, MPI_Comm comm)
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{
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int n_pes;
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MPI_Comm_size(comm, &n_pes);
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return n_pes >= XM(num_blocks)(n, block);
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}
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/* Pick a default block size for dividing a problem of size n among
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n_pes processes. Divide as equally as possible, while minimizing
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the maximum block size among the processes as well as the number of
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processes with nonzero blocks. */
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INT XM(default_block)(INT n, int n_pes)
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{
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return ((n + n_pes - 1) / n_pes);
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}
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/* For a given block size and dimension n, compute the block size
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on the given process. */
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INT XM(block)(INT n, INT block, int which_block)
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{
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INT d = n - which_block * block;
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return d <= 0 ? 0 : (d > block ? block : d);
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}
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static INT num_blocks_kind(const ddim *dim, block_kind k)
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{
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return XM(num_blocks)(dim->n, dim->b[k]);
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}
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INT XM(num_blocks_total)(const dtensor *sz, block_kind k)
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{
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if (FINITE_RNK(sz->rnk)) {
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int i;
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INT ntot = 1;
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for (i = 0; i < sz->rnk; ++i)
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ntot *= num_blocks_kind(sz->dims + i, k);
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return ntot;
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}
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else
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return 0;
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}
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int XM(idle_process)(const dtensor *sz, block_kind k, int which_pe)
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{
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return (which_pe >= XM(num_blocks_total)(sz, k));
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}
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/* Given a non-idle process which_pe, computes the coordinate
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vector coords[rnk] giving the coordinates of a block in the
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matrix of blocks. k specifies whether we are talking about
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the input or output data distribution. */
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void XM(block_coords)(const dtensor *sz, block_kind k, int which_pe,
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INT *coords)
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{
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int i;
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A(!XM(idle_process)(sz, k, which_pe) && FINITE_RNK(sz->rnk));
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for (i = sz->rnk - 1; i >= 0; --i) {
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INT nb = num_blocks_kind(sz->dims + i, k);
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coords[i] = which_pe % nb;
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which_pe /= nb;
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}
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}
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INT XM(total_block)(const dtensor *sz, block_kind k, int which_pe)
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{
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if (XM(idle_process)(sz, k, which_pe))
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return 0;
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else {
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int i;
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INT N = 1, *coords;
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STACK_MALLOC(INT*, coords, sizeof(INT) * sz->rnk);
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XM(block_coords)(sz, k, which_pe, coords);
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for (i = 0; i < sz->rnk; ++i)
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N *= XM(block)(sz->dims[i].n, sz->dims[i].b[k], coords[i]);
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STACK_FREE(coords);
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return N;
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}
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}
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/* returns whether sz is local for dims >= dim */
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int XM(is_local_after)(int dim, const dtensor *sz, block_kind k)
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{
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if (FINITE_RNK(sz->rnk))
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for (; dim < sz->rnk; ++dim)
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if (XM(num_blocks)(sz->dims[dim].n, sz->dims[dim].b[k]) > 1)
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return 0;
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return 1;
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}
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int XM(is_local)(const dtensor *sz, block_kind k)
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{
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return XM(is_local_after)(0, sz, k);
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}
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/* Return whether sz is distributed for k according to a simple
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1d block distribution in the first or second dimensions */
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int XM(is_block1d)(const dtensor *sz, block_kind k)
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{
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int i;
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if (!FINITE_RNK(sz->rnk)) return 0;
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for (i = 0; i < sz->rnk && num_blocks_kind(sz->dims + i, k) == 1; ++i) ;
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return(i < sz->rnk && i < 2 && XM(is_local_after)(i + 1, sz, k));
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}
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