mirror of
https://github.com/tildearrow/furnace.git
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300 lines
9.7 KiB
C
300 lines
9.7 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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/* Recursive "radix-r" distributed transpose, which breaks a transpose
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over p processes into p/r transposes over r processes plus r
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transposes over p/r processes. If performed recursively, this
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produces a total of O(p log p) messages vs. O(p^2) messages for a
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direct approach.
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However, this is not necessarily an improvement. The total size of
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all the messages is actually increased from O(N) to O(N log p)
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where N is the total data size. Also, the amount of local data
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rearrangement is increased. So, it's not clear, a priori, what the
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best algorithm will be, and we'll leave it to the planner. (In
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theory and practice, it looks like this becomes advantageous for
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large p, in the limit where the message sizes are small and
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latency-dominated.)
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*/
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#include "mpi-transpose.h"
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#include <string.h>
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typedef struct {
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solver super;
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int (*radix)(int np);
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const char *nam;
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int preserve_input; /* preserve input even if DESTROY_INPUT was passed */
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} S;
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typedef struct {
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plan_mpi_transpose super;
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plan *cld1, *cldtr, *cldtm;
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int preserve_input;
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int r; /* "radix" */
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const char *nam;
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} P;
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static void apply(const plan *ego_, R *I, R *O)
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{
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const P *ego = (const P *) ego_;
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plan_rdft *cld1, *cldtr, *cldtm;
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cld1 = (plan_rdft *) ego->cld1;
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if (cld1) cld1->apply((plan *) cld1, I, O);
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if (ego->preserve_input) I = O;
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cldtr = (plan_rdft *) ego->cldtr;
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if (cldtr) cldtr->apply((plan *) cldtr, O, I);
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cldtm = (plan_rdft *) ego->cldtm;
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if (cldtm) cldtm->apply((plan *) cldtm, I, O);
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}
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static int radix_sqrt(int np)
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{
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int r;
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for (r = (int) (X(isqrt)(np)); np % r != 0; ++r)
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;
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return r;
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}
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static int radix_first(int np)
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{
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int r = (int) (X(first_divisor)(np));
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return (r >= (int) (X(isqrt)(np)) ? 0 : r);
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}
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/* the local allocated space on process pe required for the given transpose
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dimensions and block sizes */
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static INT transpose_space(INT nx, INT ny, INT block, INT tblock, int pe)
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{
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return X(imax)(XM(block)(nx, block, pe) * ny,
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nx * XM(block)(ny, tblock, pe));
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}
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/* check whether the recursive transposes fit within the space
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that must have been allocated on each process for this transpose;
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this must be modified if the subdivision in mkplan is changed! */
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static int enough_space(INT nx, INT ny, INT block, INT tblock,
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int r, int n_pes)
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{
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int pe;
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int m = n_pes / r;
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for (pe = 0; pe < n_pes; ++pe) {
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INT space = transpose_space(nx, ny, block, tblock, pe);
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INT b1 = XM(block)(nx, r * block, pe / r);
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INT b2 = XM(block)(ny, m * tblock, pe % r);
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if (transpose_space(b1, ny, block, m*tblock, pe % r) > space
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|| transpose_space(nx, b2, r*block, tblock, pe / r) > space)
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return 0;
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}
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return 1;
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}
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/* In theory, transpose-recurse becomes advantageous for message sizes
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below some minimum, assuming that the time is dominated by
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communications. In practice, we want to constrain the minimum
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message size for transpose-recurse to keep the planning time down.
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I've set this conservatively according to some simple experiments
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on a Cray XT3 where the crossover message size was 128, although on
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a larger-latency machine the crossover will be larger. */
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#define SMALL_MESSAGE 2048
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static int applicable(const S *ego, const problem *p_,
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const planner *plnr, int *r)
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{
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const problem_mpi_transpose *p = (const problem_mpi_transpose *) p_;
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int n_pes;
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MPI_Comm_size(p->comm, &n_pes);
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return (1
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&& p->tblock * n_pes == p->ny
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&& (!ego->preserve_input || (!NO_DESTROY_INPUTP(plnr)
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&& p->I != p->O))
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&& (*r = ego->radix(n_pes)) && *r < n_pes && *r > 1
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&& enough_space(p->nx, p->ny, p->block, p->tblock, *r, n_pes)
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&& (!CONSERVE_MEMORYP(plnr) || *r > 8
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|| !X(toobig)((p->nx * (p->ny / n_pes) * p->vn) / *r))
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&& (!NO_SLOWP(plnr) ||
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(p->nx * (p->ny / n_pes) * p->vn) / n_pes <= SMALL_MESSAGE)
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&& ONLY_TRANSPOSEDP(p->flags)
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);
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}
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static void awake(plan *ego_, enum wakefulness wakefulness)
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{
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P *ego = (P *) ego_;
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X(plan_awake)(ego->cld1, wakefulness);
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X(plan_awake)(ego->cldtr, wakefulness);
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X(plan_awake)(ego->cldtm, wakefulness);
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}
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static void destroy(plan *ego_)
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{
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P *ego = (P *) ego_;
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X(plan_destroy_internal)(ego->cldtm);
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X(plan_destroy_internal)(ego->cldtr);
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X(plan_destroy_internal)(ego->cld1);
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}
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static void print(const plan *ego_, printer *p)
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{
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const P *ego = (const P *) ego_;
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p->print(p, "(mpi-transpose-recurse/%s/%d%s%(%p%)%(%p%)%(%p%))",
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ego->nam, ego->r, ego->preserve_input==2 ?"/p":"",
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ego->cld1, ego->cldtr, ego->cldtm);
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}
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static plan *mkplan(const solver *ego_, const problem *p_, planner *plnr)
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{
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const S *ego = (const S *) ego_;
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const problem_mpi_transpose *p;
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P *pln;
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plan *cld1 = 0, *cldtr = 0, *cldtm = 0;
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R *I, *O;
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int me, np, r, m;
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INT b;
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MPI_Comm comm2;
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static const plan_adt padt = {
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XM(transpose_solve), awake, print, destroy
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};
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UNUSED(ego);
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if (!applicable(ego, p_, plnr, &r))
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return (plan *) 0;
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p = (const problem_mpi_transpose *) p_;
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MPI_Comm_size(p->comm, &np);
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MPI_Comm_rank(p->comm, &me);
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m = np / r;
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A(r * m == np);
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I = p->I; O = p->O;
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b = XM(block)(p->nx, p->block, me);
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A(p->tblock * np == p->ny); /* this is currently required for cld1 */
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if (p->flags & TRANSPOSED_IN) {
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/* m x r x (bt x b x vn) -> r x m x (bt x b x vn) */
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INT vn = p->vn * b * p->tblock;
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cld1 = X(mkplan_f_d)(plnr,
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X(mkproblem_rdft_0_d)(X(mktensor_3d)
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(m, r*vn, vn,
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r, vn, m*vn,
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vn, 1, 1),
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I, O),
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0, 0, NO_SLOW);
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}
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else if (I != O) { /* combine cld1 with TRANSPOSED_IN permutation */
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/* b x m x r x bt x vn -> r x m x bt x b x vn */
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INT vn = p->vn;
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INT bt = p->tblock;
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cld1 = X(mkplan_f_d)(plnr,
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X(mkproblem_rdft_0_d)(X(mktensor_5d)
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(b, m*r*bt*vn, vn,
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m, r*bt*vn, bt*b*vn,
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r, bt*vn, m*bt*b*vn,
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bt, vn, b*vn,
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vn, 1, 1),
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I, O),
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0, 0, NO_SLOW);
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}
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else { /* TRANSPOSED_IN permutation must be separate for in-place */
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/* b x (m x r) x bt x vn -> b x (r x m) x bt x vn */
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INT vn = p->vn * p->tblock;
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cld1 = X(mkplan_f_d)(plnr,
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X(mkproblem_rdft_0_d)(X(mktensor_4d)
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(m, r*vn, vn,
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r, vn, m*vn,
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vn, 1, 1,
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b, np*vn, np*vn),
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I, O),
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0, 0, NO_SLOW);
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}
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if (XM(any_true)(!cld1, p->comm)) goto nada;
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if (ego->preserve_input || NO_DESTROY_INPUTP(plnr)) I = O;
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b = XM(block)(p->nx, r * p->block, me / r);
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MPI_Comm_split(p->comm, me / r, me, &comm2);
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if (b)
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cldtr = X(mkplan_d)(plnr, XM(mkproblem_transpose)
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(b, p->ny, p->vn,
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O, I, p->block, m * p->tblock, comm2,
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p->I != p->O
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? TRANSPOSED_IN : (p->flags & TRANSPOSED_IN)));
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MPI_Comm_free(&comm2);
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if (XM(any_true)(b && !cldtr, p->comm)) goto nada;
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b = XM(block)(p->ny, m * p->tblock, me % r);
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MPI_Comm_split(p->comm, me % r, me, &comm2);
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if (b)
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cldtm = X(mkplan_d)(plnr, XM(mkproblem_transpose)
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(p->nx, b, p->vn,
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I, O, r * p->block, p->tblock, comm2,
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TRANSPOSED_IN | (p->flags & TRANSPOSED_OUT)));
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MPI_Comm_free(&comm2);
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if (XM(any_true)(b && !cldtm, p->comm)) goto nada;
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pln = MKPLAN_MPI_TRANSPOSE(P, &padt, apply);
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pln->cld1 = cld1;
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pln->cldtr = cldtr;
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pln->cldtm = cldtm;
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pln->preserve_input = ego->preserve_input ? 2 : NO_DESTROY_INPUTP(plnr);
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pln->r = r;
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pln->nam = ego->nam;
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pln->super.super.ops = cld1->ops;
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if (cldtr) X(ops_add2)(&cldtr->ops, &pln->super.super.ops);
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if (cldtm) X(ops_add2)(&cldtm->ops, &pln->super.super.ops);
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return &(pln->super.super);
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nada:
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X(plan_destroy_internal)(cldtm);
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X(plan_destroy_internal)(cldtr);
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X(plan_destroy_internal)(cld1);
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return (plan *) 0;
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}
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static solver *mksolver(int preserve_input,
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int (*radix)(int np), const char *nam)
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{
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static const solver_adt sadt = { PROBLEM_MPI_TRANSPOSE, mkplan, 0 };
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S *slv = MKSOLVER(S, &sadt);
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slv->preserve_input = preserve_input;
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slv->radix = radix;
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slv->nam = nam;
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return &(slv->super);
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}
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void XM(transpose_recurse_register)(planner *p)
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{
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int preserve_input;
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for (preserve_input = 0; preserve_input <= 1; ++preserve_input) {
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REGISTER_SOLVER(p, mksolver(preserve_input, radix_sqrt, "sqrt"));
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REGISTER_SOLVER(p, mksolver(preserve_input, radix_first, "first"));
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}
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}
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