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authorscuri <scuri>2008-10-17 06:10:15 +0000
committerscuri <scuri>2008-10-17 06:10:15 +0000
commit5a422aba704c375a307a902bafe658342e209906 (patch)
tree5005011e086bb863d8fb587ad3319bbec59b2447 /src/fftw3/rdft/rvrank-geq1.c
First commit - moving from LuaForge to SourceForge
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diff --git a/src/fftw3/rdft/rvrank-geq1.c b/src/fftw3/rdft/rvrank-geq1.c
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+/*
+ * Copyright (c) 2003 Matteo Frigo
+ * Copyright (c) 2003 Massachusetts Institute of Technology
+ *
+ * This program is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ *
+ */
+
+/* $Id: rvrank-geq1.c,v 1.1 2008/10/17 06:11:29 scuri Exp $ */
+
+
+/* Plans for handling vector transform loops. These are *just* the
+ loops, and rely on child plans for the actual RDFTs.
+
+ They form a wrapper around solvers that don't have apply functions
+ for non-null vectors.
+
+ vrank-geq1 plans also recursively handle the case of multi-dimensional
+ vectors, obviating the need for most solvers to deal with this. We
+ can also play games here, such as reordering the vector loops.
+
+ Each vrank-geq1 plan reduces the vector rank by 1, picking out a
+ dimension determined by the vecloop_dim field of the solver. */
+
+#include "rdft.h"
+
+typedef struct {
+ solver super;
+ int vecloop_dim;
+ const int *buddies;
+ int nbuddies;
+} S;
+
+typedef struct {
+ plan_rdft super;
+
+ plan *cld;
+ int vl;
+ int ivs, ovs;
+ const S *solver;
+} P;
+
+static void apply(const plan *ego_, R *I, R *O)
+{
+ const P *ego = (const P *) ego_;
+ int i, vl = ego->vl;
+ int ivs = ego->ivs, ovs = ego->ovs;
+ rdftapply cldapply = ((plan_rdft *) ego->cld)->apply;
+
+ for (i = 0; i < vl; ++i) {
+ cldapply(ego->cld, I + i * ivs, O + i * ovs);
+ }
+}
+
+static void awake(plan *ego_, int flg)
+{
+ P *ego = (P *) ego_;
+ AWAKE(ego->cld, flg);
+}
+
+static void destroy(plan *ego_)
+{
+ P *ego = (P *) ego_;
+ X(plan_destroy_internal)(ego->cld);
+}
+
+static void print(const plan *ego_, printer *p)
+{
+ const P *ego = (const P *) ego_;
+ const S *s = ego->solver;
+ p->print(p, "(rdft-vrank>=1-x%d/%d%(%p%))",
+ ego->vl, s->vecloop_dim, ego->cld);
+}
+
+static int pickdim(const S *ego, const tensor *vecsz, int oop, int *dp)
+{
+ return X(pickdim)(ego->vecloop_dim, ego->buddies, ego->nbuddies,
+ vecsz, oop, dp);
+}
+
+static int applicable0(const solver *ego_, const problem *p_, int *dp)
+{
+ if (RDFTP(p_)) {
+ const S *ego = (const S *) ego_;
+ const problem_rdft *p = (const problem_rdft *) p_;
+
+ return (1
+ && FINITE_RNK(p->vecsz->rnk)
+ && p->vecsz->rnk > 0
+ && pickdim(ego, p->vecsz, p->I != p->O, dp)
+ );
+ }
+
+ return 0;
+}
+
+static int applicable(const solver *ego_, const problem *p_,
+ const planner *plnr, int *dp)
+{
+ const S *ego = (const S *)ego_;
+ const problem_rdft *p;
+
+ if (!applicable0(ego_, p_, dp)) return 0;
+
+ /* fftw2 behavior */
+ if (NO_VRANK_SPLITSP(plnr) && (ego->vecloop_dim != ego->buddies[0]))
+ return 0;
+
+ if (NO_UGLYP(plnr)) {
+ p = (const problem_rdft *) p_;
+
+ /* Heuristic: if the transform is multi-dimensional, and the
+ vector stride is less than the transform size, then we
+ probably want to use a rank>=2 plan first in order to combine
+ this vector with the transform-dimension vectors. */
+ {
+ iodim *d = p->vecsz->dims + *dp;
+ if (1
+ && p->sz->rnk > 1
+ && X(imin)(X(iabs)(d->is), X(iabs)(d->os))
+ < X(tensor_max_index)(p->sz)
+ )
+ return 0;
+ }
+
+ /* Heuristic: don't use a vrank-geq1 for rank-0 vrank-1
+ transforms, since this case is better handled by rank-0
+ solvers. */
+ if (p->sz->rnk == 0 && p->vecsz->rnk == 1) return 0;
+
+ /* prefer threaded version */
+ if (NONTHREADED_ICKYP(plnr)) return 0;
+
+ /* exploit built-in vecloops of (ugly) r{e,o}dft solvers */
+ if (p->vecsz->rnk == 1 && p->sz->rnk == 1
+ && REODFT_KINDP(p->kind[0]))
+ return 0;
+ }
+
+ return 1;
+}
+
+static plan *mkplan(const solver *ego_, const problem *p_, planner *plnr)
+{
+ const S *ego = (const S *) ego_;
+ const problem_rdft *p;
+ P *pln;
+ plan *cld;
+ int vdim;
+ iodim *d;
+
+ static const plan_adt padt = {
+ X(rdft_solve), awake, print, destroy
+ };
+
+ if (!applicable(ego_, p_, plnr, &vdim))
+ return (plan *) 0;
+ p = (const problem_rdft *) p_;
+
+ d = p->vecsz->dims + vdim;
+
+ A(d->n > 1);
+
+ cld = X(mkplan_d)(plnr,
+ X(mkproblem_rdft_d)(
+ X(tensor_copy)(p->sz),
+ X(tensor_copy_except)(p->vecsz, vdim),
+ TAINT(p->I, d->is), TAINT(p->O, d->os),
+ p->kind));
+ if (!cld) return (plan *) 0;
+
+ pln = MKPLAN_RDFT(P, &padt, apply);
+
+ pln->cld = cld;
+ pln->vl = d->n;
+ pln->ivs = d->is;
+ pln->ovs = d->os;
+
+ pln->solver = ego;
+ X(ops_zero)(&pln->super.super.ops);
+ pln->super.super.ops.other = 3.14159; /* magic to prefer codelet loops */
+ X(ops_madd2)(pln->vl, &cld->ops, &pln->super.super.ops);
+ pln->super.super.pcost = pln->vl * cld->pcost;
+
+ return &(pln->super.super);
+}
+
+static solver *mksolver(int vecloop_dim, const int *buddies, int nbuddies)
+{
+ static const solver_adt sadt = { mkplan };
+ S *slv = MKSOLVER(S, &sadt);
+ slv->vecloop_dim = vecloop_dim;
+ slv->buddies = buddies;
+ slv->nbuddies = nbuddies;
+ return &(slv->super);
+}
+
+void X(rdft_vrank_geq1_register)(planner *p)
+{
+ int i;
+
+ /* FIXME: Should we try other vecloop_dim values? */
+ static const int buddies[] = { 1, -1 };
+
+ const int nbuddies = sizeof(buddies) / sizeof(buddies[0]);
+
+ for (i = 0; i < nbuddies; ++i)
+ REGISTER_SOLVER(p, mksolver(buddies[i], buddies, nbuddies));
+}