e14b10df7a
* tree-loop-linear.c (compute_data_dependences_for_loop): Adjust calls. * tree-data-ref.c (find_data_references_in_loop, compute_data_dependences_for_loop): Use pointers to VEC. (analyze_all_data_dependences): Adjust calls. * tree-data-ref.h (find_data_references_in_loop, compute_data_dependences_for_loop): Adjust declarations. * tree-vect-analyze.c (vect_analyze_data_refs): Adjust call to compute_data_dependences_for_loop. From-SVN: r112507
358 lines
10 KiB
C
358 lines
10 KiB
C
/* Linear Loop transforms
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Copyright (C) 2003, 2004, 2005 Free Software Foundation, Inc.
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Contributed by Daniel Berlin <dberlin@dberlin.org>.
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This file is part of GCC.
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GCC is free software; you can redistribute it and/or modify it under
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the terms of the GNU General Public License as published by the Free
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Software Foundation; either version 2, or (at your option) any later
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version.
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GCC is distributed in the hope that it will be useful, but WITHOUT ANY
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WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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along with GCC; see the file COPYING. If not, write to the Free
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Software Foundation, 51 Franklin Street, Fifth Floor, Boston, MA
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02110-1301, USA. */
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#include "config.h"
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#include "system.h"
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#include "coretypes.h"
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#include "tm.h"
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#include "ggc.h"
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#include "tree.h"
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#include "target.h"
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#include "rtl.h"
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#include "basic-block.h"
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#include "diagnostic.h"
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#include "tree-flow.h"
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#include "tree-dump.h"
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#include "timevar.h"
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#include "cfgloop.h"
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#include "expr.h"
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#include "optabs.h"
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#include "tree-chrec.h"
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#include "tree-data-ref.h"
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#include "tree-scalar-evolution.h"
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#include "tree-pass.h"
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#include "lambda.h"
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/* Linear loop transforms include any composition of interchange,
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scaling, skewing, and reversal. They are used to change the
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iteration order of loop nests in order to optimize data locality of
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traversals, or remove dependences that prevent
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parallelization/vectorization/etc.
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TODO: Determine reuse vectors/matrix and use it to determine optimal
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transform matrix for locality purposes.
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TODO: Completion of partial transforms. */
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/* Gather statistics for loop interchange. LOOP is the loop being
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considered. The first loop in the considered loop nest is
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FIRST_LOOP, and consequently, the index of the considered loop is
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obtained by LOOP->DEPTH - FIRST_LOOP->DEPTH
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Initializes:
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- DEPENDENCE_STEPS the sum of all the data dependence distances
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carried by loop LOOP,
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- NB_DEPS_NOT_CARRIED_BY_LOOP the number of dependence relations
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for which the loop LOOP is not carrying any dependence,
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- ACCESS_STRIDES the sum of all the strides in LOOP.
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Example: for the following loop,
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| loop_1 runs 1335 times
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| loop_2 runs 1335 times
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| A[{{0, +, 1}_1, +, 1335}_2]
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| B[{{0, +, 1}_1, +, 1335}_2]
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| endloop_2
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| A[{0, +, 1336}_1]
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| endloop_1
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gather_interchange_stats (in loop_1) will return
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DEPENDENCE_STEPS = 3002
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NB_DEPS_NOT_CARRIED_BY_LOOP = 5
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ACCESS_STRIDES = 10694
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gather_interchange_stats (in loop_2) will return
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DEPENDENCE_STEPS = 3000
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NB_DEPS_NOT_CARRIED_BY_LOOP = 7
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ACCESS_STRIDES = 8010
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*/
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static void
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gather_interchange_stats (VEC (ddr_p, heap) *dependence_relations,
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VEC (data_reference_p, heap) *datarefs,
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struct loop *loop,
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struct loop *first_loop,
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unsigned int *dependence_steps,
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unsigned int *nb_deps_not_carried_by_loop,
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unsigned int *access_strides)
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{
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unsigned int i, j;
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struct data_dependence_relation *ddr;
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struct data_reference *dr;
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*dependence_steps = 0;
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*nb_deps_not_carried_by_loop = 0;
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*access_strides = 0;
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for (i = 0; VEC_iterate (ddr_p, dependence_relations, i, ddr); i++)
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{
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/* If we don't know anything about this dependence, or the distance
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vector is NULL, or there is no dependence, then there is no reuse of
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data. */
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if (DDR_ARE_DEPENDENT (ddr) == chrec_dont_know
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|| DDR_ARE_DEPENDENT (ddr) == chrec_known
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|| DDR_NUM_DIST_VECTS (ddr) == 0)
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continue;
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for (j = 0; j < DDR_NUM_DIST_VECTS (ddr); j++)
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{
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int dist = DDR_DIST_VECT (ddr, j)[loop->depth - first_loop->depth];
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if (dist == 0)
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(*nb_deps_not_carried_by_loop) += 1;
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else if (dist < 0)
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(*dependence_steps) += -dist;
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else
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(*dependence_steps) += dist;
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}
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}
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/* Compute the access strides. */
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for (i = 0; VEC_iterate (data_reference_p, datarefs, i, dr); i++)
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{
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unsigned int it;
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tree stmt = DR_STMT (dr);
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struct loop *stmt_loop = loop_containing_stmt (stmt);
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struct loop *inner_loop = first_loop->inner;
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if (inner_loop != stmt_loop
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&& !flow_loop_nested_p (inner_loop, stmt_loop))
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continue;
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for (it = 0; it < DR_NUM_DIMENSIONS (dr); it++)
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{
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tree chrec = DR_ACCESS_FN (dr, it);
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tree tstride = evolution_part_in_loop_num
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(chrec, loop->num);
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if (tstride == NULL_TREE
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|| TREE_CODE (tstride) != INTEGER_CST)
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continue;
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(*access_strides) += int_cst_value (tstride);
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}
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}
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}
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/* Attempt to apply interchange transformations to TRANS to maximize the
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spatial and temporal locality of the loop.
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Returns the new transform matrix. The smaller the reuse vector
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distances in the inner loops, the fewer the cache misses.
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FIRST_LOOP is the loop->num of the first loop in the analyzed loop
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nest. */
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static lambda_trans_matrix
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try_interchange_loops (lambda_trans_matrix trans,
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unsigned int depth,
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VEC (ddr_p, heap) *dependence_relations,
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VEC (data_reference_p, heap) *datarefs,
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struct loop *first_loop)
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{
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struct loop *loop_i;
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struct loop *loop_j;
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unsigned int dependence_steps_i, dependence_steps_j;
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unsigned int access_strides_i, access_strides_j;
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unsigned int nb_deps_not_carried_by_i, nb_deps_not_carried_by_j;
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struct data_dependence_relation *ddr;
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/* When there is an unknown relation in the dependence_relations, we
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know that it is no worth looking at this loop nest: give up. */
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ddr = VEC_index (ddr_p, dependence_relations, 0);
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if (ddr == NULL || DDR_ARE_DEPENDENT (ddr) == chrec_dont_know)
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return trans;
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/* LOOP_I is always the outer loop. */
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for (loop_j = first_loop->inner;
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loop_j;
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loop_j = loop_j->inner)
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for (loop_i = first_loop;
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loop_i->depth < loop_j->depth;
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loop_i = loop_i->inner)
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{
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gather_interchange_stats (dependence_relations, datarefs,
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loop_i, first_loop,
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&dependence_steps_i,
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&nb_deps_not_carried_by_i,
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&access_strides_i);
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gather_interchange_stats (dependence_relations, datarefs,
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loop_j, first_loop,
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&dependence_steps_j,
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&nb_deps_not_carried_by_j,
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&access_strides_j);
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/* Heuristics for loop interchange profitability:
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1. (spatial locality) Inner loops should have smallest
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dependence steps.
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2. (spatial locality) Inner loops should contain more
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dependence relations not carried by the loop.
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3. (temporal locality) Inner loops should have smallest
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array access strides.
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*/
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if (dependence_steps_i < dependence_steps_j
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|| nb_deps_not_carried_by_i > nb_deps_not_carried_by_j
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|| access_strides_i < access_strides_j)
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{
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lambda_matrix_row_exchange (LTM_MATRIX (trans),
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loop_i->depth - first_loop->depth,
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loop_j->depth - first_loop->depth);
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/* Validate the resulting matrix. When the transformation
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is not valid, reverse to the previous transformation. */
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if (!lambda_transform_legal_p (trans, depth, dependence_relations))
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lambda_matrix_row_exchange (LTM_MATRIX (trans),
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loop_i->depth - first_loop->depth,
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loop_j->depth - first_loop->depth);
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}
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}
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return trans;
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}
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/* Perform a set of linear transforms on LOOPS. */
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void
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linear_transform_loops (struct loops *loops)
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{
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unsigned int i;
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VEC(tree,heap) *oldivs = NULL;
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VEC(tree,heap) *invariants = NULL;
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for (i = 1; i < loops->num; i++)
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{
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unsigned int depth = 0;
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VEC (ddr_p, heap) *dependence_relations;
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VEC (data_reference_p, heap) *datarefs;
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struct loop *loop_nest = loops->parray[i];
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struct loop *temp;
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lambda_loopnest before, after;
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lambda_trans_matrix trans;
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bool problem = false;
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bool need_perfect_nest = false;
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/* If it's not a loop nest, we don't want it.
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We also don't handle sibling loops properly,
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which are loops of the following form:
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for (i = 0; i < 50; i++)
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{
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for (j = 0; j < 50; j++)
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{
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...
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}
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for (j = 0; j < 50; j++)
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{
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...
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}
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} */
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if (!loop_nest || !loop_nest->inner)
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continue;
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VEC_truncate (tree, oldivs, 0);
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VEC_truncate (tree, invariants, 0);
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depth = 1;
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for (temp = loop_nest->inner; temp; temp = temp->inner)
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{
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/* If we have a sibling loop or multiple exit edges, jump ship. */
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if (temp->next || !temp->single_exit)
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{
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problem = true;
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break;
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}
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depth ++;
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}
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if (problem)
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continue;
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/* Analyze data references and dependence relations using scev. */
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datarefs = VEC_alloc (data_reference_p, heap, 10);
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dependence_relations = VEC_alloc (ddr_p, heap, 10 * 10);
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compute_data_dependences_for_loop (loop_nest, true, &datarefs,
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&dependence_relations);
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if (dump_file && (dump_flags & TDF_DETAILS))
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dump_ddrs (dump_file, dependence_relations);
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/* Build the transformation matrix. */
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trans = lambda_trans_matrix_new (depth, depth);
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lambda_matrix_id (LTM_MATRIX (trans), depth);
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trans = try_interchange_loops (trans, depth, dependence_relations,
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datarefs, loop_nest);
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if (lambda_trans_matrix_id_p (trans))
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{
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if (dump_file)
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fprintf (dump_file, "Won't transform loop. Optimal transform is the identity transform\n");
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continue;
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}
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/* Check whether the transformation is legal. */
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if (!lambda_transform_legal_p (trans, depth, dependence_relations))
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{
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if (dump_file)
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fprintf (dump_file, "Can't transform loop, transform is illegal:\n");
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continue;
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}
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if (!perfect_nest_p (loop_nest))
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need_perfect_nest = true;
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before = gcc_loopnest_to_lambda_loopnest (loops,
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loop_nest, &oldivs,
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&invariants,
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need_perfect_nest);
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if (!before)
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continue;
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if (dump_file)
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{
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fprintf (dump_file, "Before:\n");
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print_lambda_loopnest (dump_file, before, 'i');
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}
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after = lambda_loopnest_transform (before, trans);
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if (dump_file)
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{
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fprintf (dump_file, "After:\n");
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print_lambda_loopnest (dump_file, after, 'u');
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}
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lambda_loopnest_to_gcc_loopnest (loop_nest, oldivs, invariants,
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after, trans);
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if (dump_file)
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fprintf (dump_file, "Successfully transformed loop.\n");
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free_dependence_relations (dependence_relations);
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free_data_refs (datarefs);
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}
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VEC_free (tree, heap, oldivs);
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VEC_free (tree, heap, invariants);
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scev_reset ();
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rewrite_into_loop_closed_ssa (NULL, TODO_update_ssa_full_phi);
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}
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