Fix type problems in loop ivs.
[gcc.git] / gcc / graphite-sese-to-poly.c
1 /* Conversion of SESE regions to Polyhedra.
2 Copyright (C) 2009 Free Software Foundation, Inc.
3 Contributed by Sebastian Pop <sebastian.pop@amd.com>.
4
5 This file is part of GCC.
6
7 GCC is free software; you can redistribute it and/or modify
8 it under the terms of the GNU General Public License as published by
9 the Free Software Foundation; either version 3, or (at your option)
10 any later version.
11
12 GCC is distributed in the hope that it will be useful,
13 but WITHOUT ANY WARRANTY; without even the implied warranty of
14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 GNU General Public License for more details.
16
17 You should have received a copy of the GNU General Public License
18 along with GCC; see the file COPYING3. If not see
19 <http://www.gnu.org/licenses/>. */
20
21 #include "config.h"
22 #include "system.h"
23 #include "coretypes.h"
24 #include "tm.h"
25 #include "ggc.h"
26 #include "tree.h"
27 #include "rtl.h"
28 #include "basic-block.h"
29 #include "diagnostic.h"
30 #include "tree-flow.h"
31 #include "toplev.h"
32 #include "tree-dump.h"
33 #include "timevar.h"
34 #include "cfgloop.h"
35 #include "tree-chrec.h"
36 #include "tree-data-ref.h"
37 #include "tree-scalar-evolution.h"
38 #include "tree-pass.h"
39 #include "domwalk.h"
40 #include "value-prof.h"
41 #include "pointer-set.h"
42 #include "gimple.h"
43 #include "sese.h"
44
45 #ifdef HAVE_cloog
46 #include "cloog/cloog.h"
47 #include "ppl_c.h"
48 #include "graphite-ppl.h"
49 #include "graphite.h"
50 #include "graphite-poly.h"
51 #include "graphite-scop-detection.h"
52 #include "graphite-clast-to-gimple.h"
53 #include "graphite-sese-to-poly.h"
54
55 /* Check if VAR is used in a phi node, that is no loop header. */
56
57 static bool
58 var_used_in_not_loop_header_phi_node (tree var)
59 {
60 imm_use_iterator imm_iter;
61 gimple stmt;
62 bool result = false;
63
64 FOR_EACH_IMM_USE_STMT (stmt, imm_iter, var)
65 {
66 basic_block bb = gimple_bb (stmt);
67
68 if (gimple_code (stmt) == GIMPLE_PHI
69 && bb->loop_father->header != bb)
70 result = true;
71 }
72
73 return result;
74 }
75
76 /* Returns the index of the phi argument corresponding to the initial
77 value in the loop. */
78
79 static size_t
80 loop_entry_phi_arg (gimple phi)
81 {
82 loop_p loop = gimple_bb (phi)->loop_father;
83 size_t i;
84
85 for (i = 0; i < gimple_phi_num_args (phi); i++)
86 if (!flow_bb_inside_loop_p (loop, gimple_phi_arg_edge (phi, i)->src))
87 return i;
88
89 gcc_unreachable ();
90 return 0;
91 }
92
93 /* Removes a simple copy phi node "RES = phi (INIT, RES)" at position
94 PSI by inserting on the loop ENTRY edge assignment "RES = INIT". */
95
96 static void
97 remove_simple_copy_phi (gimple_stmt_iterator *psi)
98 {
99 gimple phi = gsi_stmt (*psi);
100 tree res = gimple_phi_result (phi);
101 size_t entry = loop_entry_phi_arg (phi);
102 tree init = gimple_phi_arg_def (phi, entry);
103 gimple stmt = gimple_build_assign (res, init);
104 edge e = gimple_phi_arg_edge (phi, entry);
105
106 remove_phi_node (psi, false);
107 gsi_insert_on_edge_immediate (e, stmt);
108 SSA_NAME_DEF_STMT (res) = stmt;
109 }
110
111 /* Removes an invariant phi node at position PSI by inserting on the
112 loop ENTRY edge the assignment RES = INIT. */
113
114 static void
115 remove_invariant_phi (sese region, gimple_stmt_iterator *psi)
116 {
117 gimple phi = gsi_stmt (*psi);
118 loop_p loop = loop_containing_stmt (phi);
119 tree res = gimple_phi_result (phi);
120 tree scev = scalar_evolution_in_region (region, loop, res);
121 size_t entry = loop_entry_phi_arg (phi);
122 edge e = gimple_phi_arg_edge (phi, entry);
123 tree var;
124 gimple stmt;
125 gimple_seq stmts;
126 gimple_stmt_iterator gsi;
127
128 if (tree_contains_chrecs (scev, NULL))
129 scev = gimple_phi_arg_def (phi, entry);
130
131 var = force_gimple_operand (scev, &stmts, true, NULL_TREE);
132 stmt = gimple_build_assign (res, var);
133 remove_phi_node (psi, false);
134
135 if (!stmts)
136 stmts = gimple_seq_alloc ();
137
138 gsi = gsi_last (stmts);
139 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
140 gsi_insert_seq_on_edge (e, stmts);
141 gsi_commit_edge_inserts ();
142 SSA_NAME_DEF_STMT (res) = stmt;
143 }
144
145 /* Returns true when the phi node at PSI is of the form "a = phi (a, x)". */
146
147 static inline bool
148 simple_copy_phi_p (gimple phi)
149 {
150 tree res;
151
152 if (gimple_phi_num_args (phi) != 2)
153 return false;
154
155 res = gimple_phi_result (phi);
156 return (res == gimple_phi_arg_def (phi, 0)
157 || res == gimple_phi_arg_def (phi, 1));
158 }
159
160 /* Returns true when the phi node at position PSI is a reduction phi
161 node in REGION. Otherwise moves the pointer PSI to the next phi to
162 be considered. */
163
164 static bool
165 reduction_phi_p (sese region, gimple_stmt_iterator *psi)
166 {
167 loop_p loop;
168 tree scev;
169 affine_iv iv;
170 gimple phi = gsi_stmt (*psi);
171 tree res = gimple_phi_result (phi);
172
173 if (!is_gimple_reg (res))
174 {
175 gsi_next (psi);
176 return false;
177 }
178
179 loop = loop_containing_stmt (phi);
180
181 if (simple_copy_phi_p (phi))
182 {
183 /* FIXME: PRE introduces phi nodes like these, for an example,
184 see id-5.f in the fortran graphite testsuite:
185
186 # prephitmp.85_265 = PHI <prephitmp.85_258(33), prephitmp.85_265(18)>
187 */
188 remove_simple_copy_phi (psi);
189 return false;
190 }
191
192 /* Main induction variables with constant strides in LOOP are not
193 reductions. */
194 if (simple_iv (loop, loop, res, &iv, true))
195 {
196 if (integer_zerop (iv.step))
197 remove_invariant_phi (region, psi);
198 else
199 gsi_next (psi);
200
201 return false;
202 }
203
204 scev = scalar_evolution_in_region (region, loop, res);
205 if (chrec_contains_undetermined (scev))
206 return true;
207
208 if (evolution_function_is_invariant_p (scev, loop->num))
209 {
210 remove_invariant_phi (region, psi);
211 return false;
212 }
213
214 /* All the other cases are considered reductions. */
215 return true;
216 }
217
218 /* Returns true when BB will be represented in graphite. Return false
219 for the basic blocks that contain code eliminated in the code
220 generation pass: i.e. induction variables and exit conditions. */
221
222 static bool
223 graphite_stmt_p (sese region, basic_block bb,
224 VEC (data_reference_p, heap) *drs)
225 {
226 gimple_stmt_iterator gsi;
227 loop_p loop = bb->loop_father;
228
229 if (VEC_length (data_reference_p, drs) > 0)
230 return true;
231
232 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
233 {
234 gimple stmt = gsi_stmt (gsi);
235
236 switch (gimple_code (stmt))
237 {
238 case GIMPLE_DEBUG:
239 /* Control flow expressions can be ignored, as they are
240 represented in the iteration domains and will be
241 regenerated by graphite. */
242 case GIMPLE_COND:
243 case GIMPLE_GOTO:
244 case GIMPLE_SWITCH:
245 break;
246
247 case GIMPLE_ASSIGN:
248 {
249 tree var = gimple_assign_lhs (stmt);
250
251 /* We need these bbs to be able to construct the phi nodes. */
252 if (var_used_in_not_loop_header_phi_node (var))
253 return true;
254
255 var = scalar_evolution_in_region (region, loop, var);
256 if (chrec_contains_undetermined (var))
257 return true;
258
259 break;
260 }
261
262 default:
263 return true;
264 }
265 }
266
267 return false;
268 }
269
270 /* Store the GRAPHITE representation of BB. */
271
272 static gimple_bb_p
273 new_gimple_bb (basic_block bb, VEC (data_reference_p, heap) *drs)
274 {
275 struct gimple_bb *gbb;
276
277 gbb = XNEW (struct gimple_bb);
278 bb->aux = gbb;
279 GBB_BB (gbb) = bb;
280 GBB_DATA_REFS (gbb) = drs;
281 GBB_CONDITIONS (gbb) = NULL;
282 GBB_CONDITION_CASES (gbb) = NULL;
283 GBB_CLOOG_IV_TYPES (gbb) = NULL;
284
285 return gbb;
286 }
287
288 static void
289 free_data_refs_aux (VEC (data_reference_p, heap) *datarefs)
290 {
291 unsigned int i;
292 struct data_reference *dr;
293
294 for (i = 0; VEC_iterate (data_reference_p, datarefs, i, dr); i++)
295 if (dr->aux)
296 {
297 base_alias_pair *bap = (base_alias_pair *)(dr->aux);
298
299 if (bap->alias_set)
300 free (bap->alias_set);
301
302 free (bap);
303 dr->aux = NULL;
304 }
305 }
306 /* Frees GBB. */
307
308 static void
309 free_gimple_bb (struct gimple_bb *gbb)
310 {
311 if (GBB_CLOOG_IV_TYPES (gbb))
312 htab_delete (GBB_CLOOG_IV_TYPES (gbb));
313
314 free_data_refs_aux (GBB_DATA_REFS (gbb));
315 free_data_refs (GBB_DATA_REFS (gbb));
316
317 VEC_free (gimple, heap, GBB_CONDITIONS (gbb));
318 VEC_free (gimple, heap, GBB_CONDITION_CASES (gbb));
319 GBB_BB (gbb)->aux = 0;
320 XDELETE (gbb);
321 }
322
323 /* Deletes all gimple bbs in SCOP. */
324
325 static void
326 remove_gbbs_in_scop (scop_p scop)
327 {
328 int i;
329 poly_bb_p pbb;
330
331 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
332 free_gimple_bb (PBB_BLACK_BOX (pbb));
333 }
334
335 /* Deletes all scops in SCOPS. */
336
337 void
338 free_scops (VEC (scop_p, heap) *scops)
339 {
340 int i;
341 scop_p scop;
342
343 for (i = 0; VEC_iterate (scop_p, scops, i, scop); i++)
344 {
345 remove_gbbs_in_scop (scop);
346 free_sese (SCOP_REGION (scop));
347 free_scop (scop);
348 }
349
350 VEC_free (scop_p, heap, scops);
351 }
352
353 /* Generates a polyhedral black box only if the bb contains interesting
354 information. */
355
356 static void
357 try_generate_gimple_bb (scop_p scop, basic_block bb, sbitmap reductions)
358 {
359 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 5);
360 loop_p nest = outermost_loop_in_sese (SCOP_REGION (scop), bb);
361 gimple_stmt_iterator gsi;
362
363 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
364 {
365 gimple stmt = gsi_stmt (gsi);
366 if (!is_gimple_debug (stmt))
367 graphite_find_data_references_in_stmt (nest, stmt, &drs);
368 }
369
370 if (!graphite_stmt_p (SCOP_REGION (scop), bb, drs))
371 free_data_refs (drs);
372 else
373 new_poly_bb (scop, new_gimple_bb (bb, drs), TEST_BIT (reductions,
374 bb->index));
375 }
376
377 /* Returns true if all predecessors of BB, that are not dominated by BB, are
378 marked in MAP. The predecessors dominated by BB are loop latches and will
379 be handled after BB. */
380
381 static bool
382 all_non_dominated_preds_marked_p (basic_block bb, sbitmap map)
383 {
384 edge e;
385 edge_iterator ei;
386
387 FOR_EACH_EDGE (e, ei, bb->preds)
388 if (!TEST_BIT (map, e->src->index)
389 && !dominated_by_p (CDI_DOMINATORS, e->src, bb))
390 return false;
391
392 return true;
393 }
394
395 /* Compare the depth of two basic_block's P1 and P2. */
396
397 static int
398 compare_bb_depths (const void *p1, const void *p2)
399 {
400 const_basic_block const bb1 = *(const_basic_block const*)p1;
401 const_basic_block const bb2 = *(const_basic_block const*)p2;
402 int d1 = loop_depth (bb1->loop_father);
403 int d2 = loop_depth (bb2->loop_father);
404
405 if (d1 < d2)
406 return 1;
407
408 if (d1 > d2)
409 return -1;
410
411 return 0;
412 }
413
414 /* Sort the basic blocks from DOM such that the first are the ones at
415 a deepest loop level. */
416
417 static void
418 graphite_sort_dominated_info (VEC (basic_block, heap) *dom)
419 {
420 size_t len = VEC_length (basic_block, dom);
421
422 qsort (VEC_address (basic_block, dom), len, sizeof (basic_block),
423 compare_bb_depths);
424 }
425
426 /* Recursive helper function for build_scops_bbs. */
427
428 static void
429 build_scop_bbs_1 (scop_p scop, sbitmap visited, basic_block bb, sbitmap reductions)
430 {
431 sese region = SCOP_REGION (scop);
432 VEC (basic_block, heap) *dom;
433
434 if (TEST_BIT (visited, bb->index)
435 || !bb_in_sese_p (bb, region))
436 return;
437
438 try_generate_gimple_bb (scop, bb, reductions);
439 SET_BIT (visited, bb->index);
440
441 dom = get_dominated_by (CDI_DOMINATORS, bb);
442
443 if (dom == NULL)
444 return;
445
446 graphite_sort_dominated_info (dom);
447
448 while (!VEC_empty (basic_block, dom))
449 {
450 int i;
451 basic_block dom_bb;
452
453 for (i = 0; VEC_iterate (basic_block, dom, i, dom_bb); i++)
454 if (all_non_dominated_preds_marked_p (dom_bb, visited))
455 {
456 build_scop_bbs_1 (scop, visited, dom_bb, reductions);
457 VEC_unordered_remove (basic_block, dom, i);
458 break;
459 }
460 }
461
462 VEC_free (basic_block, heap, dom);
463 }
464
465 /* Gather the basic blocks belonging to the SCOP. */
466
467 static void
468 build_scop_bbs (scop_p scop, sbitmap reductions)
469 {
470 sbitmap visited = sbitmap_alloc (last_basic_block);
471 sese region = SCOP_REGION (scop);
472
473 sbitmap_zero (visited);
474 build_scop_bbs_1 (scop, visited, SESE_ENTRY_BB (region), reductions);
475 sbitmap_free (visited);
476 }
477
478 /* Converts the STATIC_SCHEDULE of PBB into a scattering polyhedron.
479 We generate SCATTERING_DIMENSIONS scattering dimensions.
480
481 CLooG 0.15.0 and previous versions require, that all
482 scattering functions of one CloogProgram have the same number of
483 scattering dimensions, therefore we allow to specify it. This
484 should be removed in future versions of CLooG.
485
486 The scattering polyhedron consists of these dimensions: scattering,
487 loop_iterators, parameters.
488
489 Example:
490
491 | scattering_dimensions = 5
492 | used_scattering_dimensions = 3
493 | nb_iterators = 1
494 | scop_nb_params = 2
495 |
496 | Schedule:
497 | i
498 | 4 5
499 |
500 | Scattering polyhedron:
501 |
502 | scattering: {s1, s2, s3, s4, s5}
503 | loop_iterators: {i}
504 | parameters: {p1, p2}
505 |
506 | s1 s2 s3 s4 s5 i p1 p2 1
507 | 1 0 0 0 0 0 0 0 -4 = 0
508 | 0 1 0 0 0 -1 0 0 0 = 0
509 | 0 0 1 0 0 0 0 0 -5 = 0 */
510
511 static void
512 build_pbb_scattering_polyhedrons (ppl_Linear_Expression_t static_schedule,
513 poly_bb_p pbb, int scattering_dimensions)
514 {
515 int i;
516 scop_p scop = PBB_SCOP (pbb);
517 int nb_iterators = pbb_dim_iter_domain (pbb);
518 int used_scattering_dimensions = nb_iterators * 2 + 1;
519 int nb_params = scop_nb_params (scop);
520 ppl_Coefficient_t c;
521 ppl_dimension_type dim = scattering_dimensions + nb_iterators + nb_params;
522 Value v;
523
524 gcc_assert (scattering_dimensions >= used_scattering_dimensions);
525
526 value_init (v);
527 ppl_new_Coefficient (&c);
528 PBB_TRANSFORMED (pbb) = poly_scattering_new ();
529 ppl_new_C_Polyhedron_from_space_dimension
530 (&PBB_TRANSFORMED_SCATTERING (pbb), dim, 0);
531
532 PBB_NB_SCATTERING_TRANSFORM (pbb) = scattering_dimensions;
533
534 for (i = 0; i < scattering_dimensions; i++)
535 {
536 ppl_Constraint_t cstr;
537 ppl_Linear_Expression_t expr;
538
539 ppl_new_Linear_Expression_with_dimension (&expr, dim);
540 value_set_si (v, 1);
541 ppl_assign_Coefficient_from_mpz_t (c, v);
542 ppl_Linear_Expression_add_to_coefficient (expr, i, c);
543
544 /* Textual order inside this loop. */
545 if ((i % 2) == 0)
546 {
547 ppl_Linear_Expression_coefficient (static_schedule, i / 2, c);
548 ppl_Coefficient_to_mpz_t (c, v);
549 value_oppose (v, v);
550 ppl_assign_Coefficient_from_mpz_t (c, v);
551 ppl_Linear_Expression_add_to_inhomogeneous (expr, c);
552 }
553
554 /* Iterations of this loop. */
555 else /* if ((i % 2) == 1) */
556 {
557 int loop = (i - 1) / 2;
558
559 value_set_si (v, -1);
560 ppl_assign_Coefficient_from_mpz_t (c, v);
561 ppl_Linear_Expression_add_to_coefficient
562 (expr, scattering_dimensions + loop, c);
563 }
564
565 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_EQUAL);
566 ppl_Polyhedron_add_constraint (PBB_TRANSFORMED_SCATTERING (pbb), cstr);
567 ppl_delete_Linear_Expression (expr);
568 ppl_delete_Constraint (cstr);
569 }
570
571 value_clear (v);
572 ppl_delete_Coefficient (c);
573
574 PBB_ORIGINAL (pbb) = poly_scattering_copy (PBB_TRANSFORMED (pbb));
575 }
576
577 /* Build for BB the static schedule.
578
579 The static schedule is a Dewey numbering of the abstract syntax
580 tree: http://en.wikipedia.org/wiki/Dewey_Decimal_Classification
581
582 The following example informally defines the static schedule:
583
584 A
585 for (i: ...)
586 {
587 for (j: ...)
588 {
589 B
590 C
591 }
592
593 for (k: ...)
594 {
595 D
596 E
597 }
598 }
599 F
600
601 Static schedules for A to F:
602
603 DEPTH
604 0 1 2
605 A 0
606 B 1 0 0
607 C 1 0 1
608 D 1 1 0
609 E 1 1 1
610 F 2
611 */
612
613 static void
614 build_scop_scattering (scop_p scop)
615 {
616 int i;
617 poly_bb_p pbb;
618 gimple_bb_p previous_gbb = NULL;
619 ppl_Linear_Expression_t static_schedule;
620 ppl_Coefficient_t c;
621 Value v;
622
623 value_init (v);
624 ppl_new_Coefficient (&c);
625 ppl_new_Linear_Expression (&static_schedule);
626
627 /* We have to start schedules at 0 on the first component and
628 because we cannot compare_prefix_loops against a previous loop,
629 prefix will be equal to zero, and that index will be
630 incremented before copying. */
631 value_set_si (v, -1);
632 ppl_assign_Coefficient_from_mpz_t (c, v);
633 ppl_Linear_Expression_add_to_coefficient (static_schedule, 0, c);
634
635 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
636 {
637 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
638 ppl_Linear_Expression_t common;
639 int prefix;
640 int nb_scat_dims = pbb_dim_iter_domain (pbb) * 2 + 1;
641
642 if (previous_gbb)
643 prefix = nb_common_loops (SCOP_REGION (scop), previous_gbb, gbb);
644 else
645 prefix = 0;
646
647 previous_gbb = gbb;
648 ppl_new_Linear_Expression_with_dimension (&common, prefix + 1);
649 ppl_assign_Linear_Expression_from_Linear_Expression (common,
650 static_schedule);
651
652 value_set_si (v, 1);
653 ppl_assign_Coefficient_from_mpz_t (c, v);
654 ppl_Linear_Expression_add_to_coefficient (common, prefix, c);
655 ppl_assign_Linear_Expression_from_Linear_Expression (static_schedule,
656 common);
657
658 build_pbb_scattering_polyhedrons (common, pbb, nb_scat_dims);
659
660 ppl_delete_Linear_Expression (common);
661 }
662
663 value_clear (v);
664 ppl_delete_Coefficient (c);
665 ppl_delete_Linear_Expression (static_schedule);
666 }
667
668 /* Add the value K to the dimension D of the linear expression EXPR. */
669
670 static void
671 add_value_to_dim (ppl_dimension_type d, ppl_Linear_Expression_t expr,
672 Value k)
673 {
674 Value val;
675 ppl_Coefficient_t coef;
676
677 ppl_new_Coefficient (&coef);
678 ppl_Linear_Expression_coefficient (expr, d, coef);
679 value_init (val);
680 ppl_Coefficient_to_mpz_t (coef, val);
681
682 value_addto (val, val, k);
683
684 ppl_assign_Coefficient_from_mpz_t (coef, val);
685 ppl_Linear_Expression_add_to_coefficient (expr, d, coef);
686 value_clear (val);
687 ppl_delete_Coefficient (coef);
688 }
689
690 /* In the context of scop S, scan E, the right hand side of a scalar
691 evolution function in loop VAR, and translate it to a linear
692 expression EXPR. */
693
694 static void
695 scan_tree_for_params_right_scev (sese s, tree e, int var,
696 ppl_Linear_Expression_t expr)
697 {
698 if (expr)
699 {
700 loop_p loop = get_loop (var);
701 ppl_dimension_type l = sese_loop_depth (s, loop) - 1;
702 Value val;
703
704 /* Scalar evolutions should happen in the sese region. */
705 gcc_assert (sese_loop_depth (s, loop) > 0);
706
707 /* We can not deal with parametric strides like:
708
709 | p = parameter;
710 |
711 | for i:
712 | a [i * p] = ... */
713 gcc_assert (TREE_CODE (e) == INTEGER_CST);
714
715 value_init (val);
716 value_set_si (val, int_cst_value (e));
717 add_value_to_dim (l, expr, val);
718 value_clear (val);
719 }
720 }
721
722 /* Scan the integer constant CST, and add it to the inhomogeneous part of the
723 linear expression EXPR. K is the multiplier of the constant. */
724
725 static void
726 scan_tree_for_params_int (tree cst, ppl_Linear_Expression_t expr, Value k)
727 {
728 Value val;
729 ppl_Coefficient_t coef;
730 int v = int_cst_value (cst);
731
732 value_init (val);
733 value_set_si (val, 0);
734
735 /* Necessary to not get "-1 = 2^n - 1". */
736 if (v < 0)
737 value_sub_int (val, val, -v);
738 else
739 value_add_int (val, val, v);
740
741 value_multiply (val, val, k);
742 ppl_new_Coefficient (&coef);
743 ppl_assign_Coefficient_from_mpz_t (coef, val);
744 ppl_Linear_Expression_add_to_inhomogeneous (expr, coef);
745 value_clear (val);
746 ppl_delete_Coefficient (coef);
747 }
748
749 /* When parameter NAME is in REGION, returns its index in SESE_PARAMS.
750 Otherwise returns -1. */
751
752 static inline int
753 parameter_index_in_region_1 (tree name, sese region)
754 {
755 int i;
756 tree p;
757
758 gcc_assert (TREE_CODE (name) == SSA_NAME);
759
760 for (i = 0; VEC_iterate (tree, SESE_PARAMS (region), i, p); i++)
761 if (p == name)
762 return i;
763
764 return -1;
765 }
766
767 /* When the parameter NAME is in REGION, returns its index in
768 SESE_PARAMS. Otherwise this function inserts NAME in SESE_PARAMS
769 and returns the index of NAME. */
770
771 static int
772 parameter_index_in_region (tree name, sese region)
773 {
774 int i;
775
776 gcc_assert (TREE_CODE (name) == SSA_NAME);
777
778 i = parameter_index_in_region_1 (name, region);
779 if (i != -1)
780 return i;
781
782 gcc_assert (SESE_ADD_PARAMS (region));
783
784 i = VEC_length (tree, SESE_PARAMS (region));
785 VEC_safe_push (tree, heap, SESE_PARAMS (region), name);
786 return i;
787 }
788
789 /* In the context of sese S, scan the expression E and translate it to
790 a linear expression C. When parsing a symbolic multiplication, K
791 represents the constant multiplier of an expression containing
792 parameters. */
793
794 static void
795 scan_tree_for_params (sese s, tree e, ppl_Linear_Expression_t c,
796 Value k)
797 {
798 if (e == chrec_dont_know)
799 return;
800
801 switch (TREE_CODE (e))
802 {
803 case POLYNOMIAL_CHREC:
804 scan_tree_for_params_right_scev (s, CHREC_RIGHT (e),
805 CHREC_VARIABLE (e), c);
806 scan_tree_for_params (s, CHREC_LEFT (e), c, k);
807 break;
808
809 case MULT_EXPR:
810 if (chrec_contains_symbols (TREE_OPERAND (e, 0)))
811 {
812 if (c)
813 {
814 Value val;
815 gcc_assert (host_integerp (TREE_OPERAND (e, 1), 0));
816 value_init (val);
817 value_set_si (val, int_cst_value (TREE_OPERAND (e, 1)));
818 value_multiply (val, val, k);
819 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, val);
820 value_clear (val);
821 }
822 else
823 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
824 }
825 else
826 {
827 if (c)
828 {
829 Value val;
830 gcc_assert (host_integerp (TREE_OPERAND (e, 0), 0));
831 value_init (val);
832 value_set_si (val, int_cst_value (TREE_OPERAND (e, 0)));
833 value_multiply (val, val, k);
834 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, val);
835 value_clear (val);
836 }
837 else
838 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
839 }
840 break;
841
842 case PLUS_EXPR:
843 case POINTER_PLUS_EXPR:
844 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
845 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
846 break;
847
848 case MINUS_EXPR:
849 {
850 ppl_Linear_Expression_t tmp_expr = NULL;
851
852 if (c)
853 {
854 ppl_dimension_type dim;
855 ppl_Linear_Expression_space_dimension (c, &dim);
856 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
857 }
858
859 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
860 scan_tree_for_params (s, TREE_OPERAND (e, 1), tmp_expr, k);
861
862 if (c)
863 {
864 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
865 tmp_expr);
866 ppl_delete_Linear_Expression (tmp_expr);
867 }
868
869 break;
870 }
871
872 case NEGATE_EXPR:
873 {
874 ppl_Linear_Expression_t tmp_expr = NULL;
875
876 if (c)
877 {
878 ppl_dimension_type dim;
879 ppl_Linear_Expression_space_dimension (c, &dim);
880 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
881 }
882
883 scan_tree_for_params (s, TREE_OPERAND (e, 0), tmp_expr, k);
884
885 if (c)
886 {
887 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
888 tmp_expr);
889 ppl_delete_Linear_Expression (tmp_expr);
890 }
891
892 break;
893 }
894
895 case BIT_NOT_EXPR:
896 {
897 ppl_Linear_Expression_t tmp_expr = NULL;
898
899 if (c)
900 {
901 ppl_dimension_type dim;
902 ppl_Linear_Expression_space_dimension (c, &dim);
903 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
904 }
905
906 scan_tree_for_params (s, TREE_OPERAND (e, 0), tmp_expr, k);
907
908 if (c)
909 {
910 ppl_Coefficient_t coef;
911 Value minus_one;
912
913 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
914 tmp_expr);
915 ppl_delete_Linear_Expression (tmp_expr);
916 value_init (minus_one);
917 value_set_si (minus_one, -1);
918 ppl_new_Coefficient_from_mpz_t (&coef, minus_one);
919 ppl_Linear_Expression_add_to_inhomogeneous (c, coef);
920 value_clear (minus_one);
921 ppl_delete_Coefficient (coef);
922 }
923
924 break;
925 }
926
927 case SSA_NAME:
928 {
929 ppl_dimension_type p = parameter_index_in_region (e, s);
930
931 if (c)
932 {
933 ppl_dimension_type dim;
934 ppl_Linear_Expression_space_dimension (c, &dim);
935 p += dim - sese_nb_params (s);
936 add_value_to_dim (p, c, k);
937 }
938 break;
939 }
940
941 case INTEGER_CST:
942 if (c)
943 scan_tree_for_params_int (e, c, k);
944 break;
945
946 CASE_CONVERT:
947 case NON_LVALUE_EXPR:
948 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
949 break;
950
951 default:
952 gcc_unreachable ();
953 break;
954 }
955 }
956
957 /* Find parameters with respect to REGION in BB. We are looking in memory
958 access functions, conditions and loop bounds. */
959
960 static void
961 find_params_in_bb (sese region, gimple_bb_p gbb)
962 {
963 int i;
964 unsigned j;
965 data_reference_p dr;
966 gimple stmt;
967 loop_p loop = GBB_BB (gbb)->loop_father;
968 Value one;
969
970 value_init (one);
971 value_set_si (one, 1);
972
973 /* Find parameters in the access functions of data references. */
974 for (i = 0; VEC_iterate (data_reference_p, GBB_DATA_REFS (gbb), i, dr); i++)
975 for (j = 0; j < DR_NUM_DIMENSIONS (dr); j++)
976 scan_tree_for_params (region, DR_ACCESS_FN (dr, j), NULL, one);
977
978 /* Find parameters in conditional statements. */
979 for (i = 0; VEC_iterate (gimple, GBB_CONDITIONS (gbb), i, stmt); i++)
980 {
981 tree lhs = scalar_evolution_in_region (region, loop,
982 gimple_cond_lhs (stmt));
983 tree rhs = scalar_evolution_in_region (region, loop,
984 gimple_cond_rhs (stmt));
985
986 scan_tree_for_params (region, lhs, NULL, one);
987 scan_tree_for_params (region, rhs, NULL, one);
988 }
989
990 value_clear (one);
991 }
992
993 /* Record the parameters used in the SCOP. A variable is a parameter
994 in a scop if it does not vary during the execution of that scop. */
995
996 static void
997 find_scop_parameters (scop_p scop)
998 {
999 poly_bb_p pbb;
1000 unsigned i;
1001 sese region = SCOP_REGION (scop);
1002 struct loop *loop;
1003 Value one;
1004
1005 value_init (one);
1006 value_set_si (one, 1);
1007
1008 /* Find the parameters used in the loop bounds. */
1009 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1010 {
1011 tree nb_iters = number_of_latch_executions (loop);
1012
1013 if (!chrec_contains_symbols (nb_iters))
1014 continue;
1015
1016 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1017 scan_tree_for_params (region, nb_iters, NULL, one);
1018 }
1019
1020 value_clear (one);
1021
1022 /* Find the parameters used in data accesses. */
1023 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1024 find_params_in_bb (region, PBB_BLACK_BOX (pbb));
1025
1026 scop_set_nb_params (scop, sese_nb_params (region));
1027 SESE_ADD_PARAMS (region) = false;
1028
1029 ppl_new_Pointset_Powerset_C_Polyhedron_from_space_dimension
1030 (&SCOP_CONTEXT (scop), scop_nb_params (scop), 0);
1031 }
1032
1033 /* Returns a gimple_bb from BB. */
1034
1035 static inline gimple_bb_p
1036 gbb_from_bb (basic_block bb)
1037 {
1038 return (gimple_bb_p) bb->aux;
1039 }
1040
1041 /* Builds the constraint polyhedra for LOOP in SCOP. OUTER_PH gives
1042 the constraints for the surrounding loops. */
1043
1044 static void
1045 build_loop_iteration_domains (scop_p scop, struct loop *loop,
1046 ppl_Polyhedron_t outer_ph, int nb,
1047 ppl_Pointset_Powerset_C_Polyhedron_t *domains)
1048 {
1049 int i;
1050 ppl_Polyhedron_t ph;
1051 tree nb_iters = number_of_latch_executions (loop);
1052 ppl_dimension_type dim = nb + 1 + scop_nb_params (scop);
1053 sese region = SCOP_REGION (scop);
1054
1055 {
1056 ppl_const_Constraint_System_t pcs;
1057 ppl_dimension_type *map
1058 = (ppl_dimension_type *) XNEWVEC (ppl_dimension_type, dim);
1059
1060 ppl_new_C_Polyhedron_from_space_dimension (&ph, dim, 0);
1061 ppl_Polyhedron_get_constraints (outer_ph, &pcs);
1062 ppl_Polyhedron_add_constraints (ph, pcs);
1063
1064 for (i = 0; i < (int) nb; i++)
1065 map[i] = i;
1066 for (i = (int) nb; i < (int) dim - 1; i++)
1067 map[i] = i + 1;
1068 map[dim - 1] = nb;
1069
1070 ppl_Polyhedron_map_space_dimensions (ph, map, dim);
1071 free (map);
1072 }
1073
1074 /* 0 <= loop_i */
1075 {
1076 ppl_Constraint_t lb;
1077 ppl_Linear_Expression_t lb_expr;
1078
1079 ppl_new_Linear_Expression_with_dimension (&lb_expr, dim);
1080 ppl_set_coef (lb_expr, nb, 1);
1081 ppl_new_Constraint (&lb, lb_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1082 ppl_delete_Linear_Expression (lb_expr);
1083 ppl_Polyhedron_add_constraint (ph, lb);
1084 ppl_delete_Constraint (lb);
1085 }
1086
1087 if (TREE_CODE (nb_iters) == INTEGER_CST)
1088 {
1089 ppl_Constraint_t ub;
1090 ppl_Linear_Expression_t ub_expr;
1091
1092 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1093
1094 /* loop_i <= cst_nb_iters */
1095 ppl_set_coef (ub_expr, nb, -1);
1096 ppl_set_inhomogeneous_tree (ub_expr, nb_iters);
1097 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1098 ppl_Polyhedron_add_constraint (ph, ub);
1099 ppl_delete_Linear_Expression (ub_expr);
1100 ppl_delete_Constraint (ub);
1101 }
1102 else if (!chrec_contains_undetermined (nb_iters))
1103 {
1104 Value one;
1105 ppl_Constraint_t ub;
1106 ppl_Linear_Expression_t ub_expr;
1107 double_int nit;
1108
1109 value_init (one);
1110 value_set_si (one, 1);
1111 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1112 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1113 scan_tree_for_params (SCOP_REGION (scop), nb_iters, ub_expr, one);
1114 value_clear (one);
1115
1116 /* N <= estimated_nb_iters
1117
1118 FIXME: This is a workaround that should go away once we will
1119 have the PIP algorithm. */
1120 if (estimated_loop_iterations (loop, true, &nit))
1121 {
1122 Value val;
1123 ppl_Linear_Expression_t nb_iters_le;
1124 ppl_Polyhedron_t pol;
1125 graphite_dim_t n = scop_nb_params (scop);
1126 ppl_Coefficient_t coef;
1127
1128 ppl_new_C_Polyhedron_from_space_dimension (&pol, dim, 0);
1129 ppl_new_Linear_Expression_from_Linear_Expression (&nb_iters_le,
1130 ub_expr);
1131
1132 /* Construct the negated number of last iteration in VAL. */
1133 value_init (val);
1134 mpz_set_double_int (val, nit, false);
1135 value_sub_int (val, val, 1);
1136 value_oppose (val, val);
1137
1138 /* NB_ITERS_LE holds number of last iteration in parametrical form.
1139 Subtract estimated number of last iteration and assert that result
1140 is not positive. */
1141 ppl_new_Coefficient_from_mpz_t (&coef, val);
1142 ppl_Linear_Expression_add_to_inhomogeneous (nb_iters_le, coef);
1143 ppl_delete_Coefficient (coef);
1144 ppl_new_Constraint (&ub, nb_iters_le,
1145 PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1146 ppl_Polyhedron_add_constraint (pol, ub);
1147
1148 /* Remove all but last N dimensions from POL to obtain constraints
1149 on parameters. */
1150 {
1151 ppl_dimension_type *dims = XNEWVEC (ppl_dimension_type, dim - n);
1152 graphite_dim_t i;
1153 for (i = 0; i < dim - n; i++)
1154 dims[i] = i;
1155 ppl_Polyhedron_remove_space_dimensions (pol, dims, dim - n);
1156 XDELETEVEC (dims);
1157 }
1158
1159 /* Add constraints on parameters to SCoP context. */
1160 {
1161 ppl_Pointset_Powerset_C_Polyhedron_t constraints_ps;
1162 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1163 (&constraints_ps, pol);
1164 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1165 (SCOP_CONTEXT (scop), constraints_ps);
1166 ppl_delete_Pointset_Powerset_C_Polyhedron (constraints_ps);
1167 }
1168
1169 ppl_delete_Polyhedron (pol);
1170 ppl_delete_Linear_Expression (nb_iters_le);
1171 ppl_delete_Constraint (ub);
1172 value_clear (val);
1173 }
1174
1175 /* loop_i <= expr_nb_iters */
1176 ppl_set_coef (ub_expr, nb, -1);
1177 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1178 ppl_Polyhedron_add_constraint (ph, ub);
1179 ppl_delete_Linear_Expression (ub_expr);
1180 ppl_delete_Constraint (ub);
1181 }
1182 else
1183 gcc_unreachable ();
1184
1185 if (loop->inner && loop_in_sese_p (loop->inner, region))
1186 build_loop_iteration_domains (scop, loop->inner, ph, nb + 1, domains);
1187
1188 if (nb != 0
1189 && loop->next
1190 && loop_in_sese_p (loop->next, region))
1191 build_loop_iteration_domains (scop, loop->next, outer_ph, nb, domains);
1192
1193 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1194 (&domains[loop->num], ph);
1195
1196 ppl_delete_Polyhedron (ph);
1197 }
1198
1199 /* Returns a linear expression for tree T evaluated in PBB. */
1200
1201 static ppl_Linear_Expression_t
1202 create_linear_expr_from_tree (poly_bb_p pbb, tree t)
1203 {
1204 Value one;
1205 ppl_Linear_Expression_t res;
1206 ppl_dimension_type dim;
1207 sese region = SCOP_REGION (PBB_SCOP (pbb));
1208 loop_p loop = pbb_loop (pbb);
1209
1210 dim = pbb_dim_iter_domain (pbb) + pbb_nb_params (pbb);
1211 ppl_new_Linear_Expression_with_dimension (&res, dim);
1212
1213 t = scalar_evolution_in_region (region, loop, t);
1214 gcc_assert (!automatically_generated_chrec_p (t));
1215
1216 value_init (one);
1217 value_set_si (one, 1);
1218 scan_tree_for_params (region, t, res, one);
1219 value_clear (one);
1220
1221 return res;
1222 }
1223
1224 /* Returns the ppl constraint type from the gimple tree code CODE. */
1225
1226 static enum ppl_enum_Constraint_Type
1227 ppl_constraint_type_from_tree_code (enum tree_code code)
1228 {
1229 switch (code)
1230 {
1231 /* We do not support LT and GT to be able to work with C_Polyhedron.
1232 As we work on integer polyhedron "a < b" can be expressed by
1233 "a + 1 <= b". */
1234 case LT_EXPR:
1235 case GT_EXPR:
1236 gcc_unreachable ();
1237
1238 case LE_EXPR:
1239 return PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL;
1240
1241 case GE_EXPR:
1242 return PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL;
1243
1244 case EQ_EXPR:
1245 return PPL_CONSTRAINT_TYPE_EQUAL;
1246
1247 default:
1248 gcc_unreachable ();
1249 }
1250 }
1251
1252 /* Add conditional statement STMT to PS. It is evaluated in PBB and
1253 CODE is used as the comparison operator. This allows us to invert the
1254 condition or to handle inequalities. */
1255
1256 static void
1257 add_condition_to_domain (ppl_Pointset_Powerset_C_Polyhedron_t ps, gimple stmt,
1258 poly_bb_p pbb, enum tree_code code)
1259 {
1260 Value v;
1261 ppl_Coefficient_t c;
1262 ppl_Linear_Expression_t left, right;
1263 ppl_Constraint_t cstr;
1264 enum ppl_enum_Constraint_Type type;
1265
1266 left = create_linear_expr_from_tree (pbb, gimple_cond_lhs (stmt));
1267 right = create_linear_expr_from_tree (pbb, gimple_cond_rhs (stmt));
1268
1269 /* If we have < or > expressions convert them to <= or >= by adding 1 to
1270 the left or the right side of the expression. */
1271 if (code == LT_EXPR)
1272 {
1273 value_init (v);
1274 value_set_si (v, 1);
1275 ppl_new_Coefficient (&c);
1276 ppl_assign_Coefficient_from_mpz_t (c, v);
1277 ppl_Linear_Expression_add_to_inhomogeneous (left, c);
1278 ppl_delete_Coefficient (c);
1279 value_clear (v);
1280
1281 code = LE_EXPR;
1282 }
1283 else if (code == GT_EXPR)
1284 {
1285 value_init (v);
1286 value_set_si (v, 1);
1287 ppl_new_Coefficient (&c);
1288 ppl_assign_Coefficient_from_mpz_t (c, v);
1289 ppl_Linear_Expression_add_to_inhomogeneous (right, c);
1290 ppl_delete_Coefficient (c);
1291 value_clear (v);
1292
1293 code = GE_EXPR;
1294 }
1295
1296 type = ppl_constraint_type_from_tree_code (code);
1297
1298 ppl_subtract_Linear_Expression_from_Linear_Expression (left, right);
1299
1300 ppl_new_Constraint (&cstr, left, type);
1301 ppl_Pointset_Powerset_C_Polyhedron_add_constraint (ps, cstr);
1302
1303 ppl_delete_Constraint (cstr);
1304 ppl_delete_Linear_Expression (left);
1305 ppl_delete_Linear_Expression (right);
1306 }
1307
1308 /* Add conditional statement STMT to pbb. CODE is used as the comparision
1309 operator. This allows us to invert the condition or to handle
1310 inequalities. */
1311
1312 static void
1313 add_condition_to_pbb (poly_bb_p pbb, gimple stmt, enum tree_code code)
1314 {
1315 if (code == NE_EXPR)
1316 {
1317 ppl_Pointset_Powerset_C_Polyhedron_t left = PBB_DOMAIN (pbb);
1318 ppl_Pointset_Powerset_C_Polyhedron_t right;
1319 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1320 (&right, left);
1321 add_condition_to_domain (left, stmt, pbb, LT_EXPR);
1322 add_condition_to_domain (right, stmt, pbb, GT_EXPR);
1323 ppl_Pointset_Powerset_C_Polyhedron_upper_bound_assign (left,
1324 right);
1325 ppl_delete_Pointset_Powerset_C_Polyhedron (right);
1326 }
1327 else
1328 add_condition_to_domain (PBB_DOMAIN (pbb), stmt, pbb, code);
1329 }
1330
1331 /* Add conditions to the domain of PBB. */
1332
1333 static void
1334 add_conditions_to_domain (poly_bb_p pbb)
1335 {
1336 unsigned int i;
1337 gimple stmt;
1338 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
1339 VEC (gimple, heap) *conditions = GBB_CONDITIONS (gbb);
1340
1341 if (VEC_empty (gimple, conditions))
1342 return;
1343
1344 for (i = 0; VEC_iterate (gimple, conditions, i, stmt); i++)
1345 switch (gimple_code (stmt))
1346 {
1347 case GIMPLE_COND:
1348 {
1349 enum tree_code code = gimple_cond_code (stmt);
1350
1351 /* The conditions for ELSE-branches are inverted. */
1352 if (VEC_index (gimple, gbb->condition_cases, i) == NULL)
1353 code = invert_tree_comparison (code, false);
1354
1355 add_condition_to_pbb (pbb, stmt, code);
1356 break;
1357 }
1358
1359 case GIMPLE_SWITCH:
1360 /* Switch statements are not supported right now - fall throught. */
1361
1362 default:
1363 gcc_unreachable ();
1364 break;
1365 }
1366 }
1367
1368 /* Structure used to pass data to dom_walk. */
1369
1370 struct bsc
1371 {
1372 VEC (gimple, heap) **conditions, **cases;
1373 sese region;
1374 };
1375
1376 /* Returns non NULL when BB has a single predecessor and the last
1377 statement of that predecessor is a COND_EXPR. */
1378
1379 static gimple
1380 single_pred_cond (basic_block bb)
1381 {
1382 if (single_pred_p (bb))
1383 {
1384 edge e = single_pred_edge (bb);
1385 basic_block pred = e->src;
1386 gimple stmt = last_stmt (pred);
1387
1388 if (stmt && gimple_code (stmt) == GIMPLE_COND)
1389 return stmt;
1390 }
1391 return NULL;
1392 }
1393
1394 /* Call-back for dom_walk executed before visiting the dominated
1395 blocks. */
1396
1397 static void
1398 build_sese_conditions_before (struct dom_walk_data *dw_data,
1399 basic_block bb)
1400 {
1401 struct bsc *data = (struct bsc *) dw_data->global_data;
1402 VEC (gimple, heap) **conditions = data->conditions;
1403 VEC (gimple, heap) **cases = data->cases;
1404 gimple_bb_p gbb = gbb_from_bb (bb);
1405 gimple stmt = single_pred_cond (bb);
1406
1407 if (!bb_in_sese_p (bb, data->region))
1408 return;
1409
1410 if (stmt)
1411 {
1412 edge e = single_pred_edge (bb);
1413
1414 VEC_safe_push (gimple, heap, *conditions, stmt);
1415
1416 if (e->flags & EDGE_TRUE_VALUE)
1417 VEC_safe_push (gimple, heap, *cases, stmt);
1418 else
1419 VEC_safe_push (gimple, heap, *cases, NULL);
1420 }
1421
1422 if (gbb)
1423 {
1424 GBB_CONDITIONS (gbb) = VEC_copy (gimple, heap, *conditions);
1425 GBB_CONDITION_CASES (gbb) = VEC_copy (gimple, heap, *cases);
1426 }
1427 }
1428
1429 /* Call-back for dom_walk executed after visiting the dominated
1430 blocks. */
1431
1432 static void
1433 build_sese_conditions_after (struct dom_walk_data *dw_data,
1434 basic_block bb)
1435 {
1436 struct bsc *data = (struct bsc *) dw_data->global_data;
1437 VEC (gimple, heap) **conditions = data->conditions;
1438 VEC (gimple, heap) **cases = data->cases;
1439
1440 if (!bb_in_sese_p (bb, data->region))
1441 return;
1442
1443 if (single_pred_cond (bb))
1444 {
1445 VEC_pop (gimple, *conditions);
1446 VEC_pop (gimple, *cases);
1447 }
1448 }
1449
1450 /* Record all conditions in REGION. */
1451
1452 static void
1453 build_sese_conditions (sese region)
1454 {
1455 struct dom_walk_data walk_data;
1456 VEC (gimple, heap) *conditions = VEC_alloc (gimple, heap, 3);
1457 VEC (gimple, heap) *cases = VEC_alloc (gimple, heap, 3);
1458 struct bsc data;
1459
1460 data.conditions = &conditions;
1461 data.cases = &cases;
1462 data.region = region;
1463
1464 walk_data.dom_direction = CDI_DOMINATORS;
1465 walk_data.initialize_block_local_data = NULL;
1466 walk_data.before_dom_children = build_sese_conditions_before;
1467 walk_data.after_dom_children = build_sese_conditions_after;
1468 walk_data.global_data = &data;
1469 walk_data.block_local_data_size = 0;
1470
1471 init_walk_dominator_tree (&walk_data);
1472 walk_dominator_tree (&walk_data, SESE_ENTRY_BB (region));
1473 fini_walk_dominator_tree (&walk_data);
1474
1475 VEC_free (gimple, heap, conditions);
1476 VEC_free (gimple, heap, cases);
1477 }
1478
1479 /* Traverses all the GBBs of the SCOP and add their constraints to the
1480 iteration domains. */
1481
1482 static void
1483 add_conditions_to_constraints (scop_p scop)
1484 {
1485 int i;
1486 poly_bb_p pbb;
1487
1488 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1489 add_conditions_to_domain (pbb);
1490 }
1491
1492 /* Add constraints on the possible values of parameter P from the type
1493 of P. */
1494
1495 static void
1496 add_param_constraints (scop_p scop, ppl_Polyhedron_t context, graphite_dim_t p)
1497 {
1498 ppl_Constraint_t cstr;
1499 ppl_Linear_Expression_t le;
1500 tree parameter = VEC_index (tree, SESE_PARAMS (SCOP_REGION (scop)), p);
1501 tree type = TREE_TYPE (parameter);
1502 tree lb, ub;
1503
1504 if (!INTEGRAL_TYPE_P (type))
1505 return;
1506
1507 lb = TYPE_MIN_VALUE (type);
1508 ub = TYPE_MAX_VALUE (type);
1509
1510 if (lb)
1511 {
1512 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1513 ppl_set_coef (le, p, -1);
1514 ppl_set_inhomogeneous_tree (le, lb);
1515 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1516 ppl_Polyhedron_add_constraint (context, cstr);
1517 ppl_delete_Linear_Expression (le);
1518 ppl_delete_Constraint (cstr);
1519 }
1520
1521 if (ub)
1522 {
1523 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1524 ppl_set_coef (le, p, -1);
1525 ppl_set_inhomogeneous_tree (le, ub);
1526 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1527 ppl_Polyhedron_add_constraint (context, cstr);
1528 ppl_delete_Linear_Expression (le);
1529 ppl_delete_Constraint (cstr);
1530 }
1531 }
1532
1533 /* Build the context of the SCOP. The context usually contains extra
1534 constraints that are added to the iteration domains that constrain
1535 some parameters. */
1536
1537 static void
1538 build_scop_context (scop_p scop)
1539 {
1540 ppl_Polyhedron_t context;
1541 ppl_Pointset_Powerset_C_Polyhedron_t ps;
1542 graphite_dim_t p, n = scop_nb_params (scop);
1543
1544 ppl_new_C_Polyhedron_from_space_dimension (&context, n, 0);
1545
1546 for (p = 0; p < n; p++)
1547 add_param_constraints (scop, context, p);
1548
1549 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1550 (&ps, context);
1551 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1552 (SCOP_CONTEXT (scop), ps);
1553
1554 ppl_delete_Pointset_Powerset_C_Polyhedron (ps);
1555 ppl_delete_Polyhedron (context);
1556 }
1557
1558 /* Build the iteration domains: the loops belonging to the current
1559 SCOP, and that vary for the execution of the current basic block.
1560 Returns false if there is no loop in SCOP. */
1561
1562 static void
1563 build_scop_iteration_domain (scop_p scop)
1564 {
1565 struct loop *loop;
1566 sese region = SCOP_REGION (scop);
1567 int i;
1568 ppl_Polyhedron_t ph;
1569 poly_bb_p pbb;
1570 int nb_loops = number_of_loops ();
1571 ppl_Pointset_Powerset_C_Polyhedron_t *domains
1572 = XNEWVEC (ppl_Pointset_Powerset_C_Polyhedron_t, nb_loops);
1573
1574 for (i = 0; i < nb_loops; i++)
1575 domains[i] = NULL;
1576
1577 ppl_new_C_Polyhedron_from_space_dimension (&ph, scop_nb_params (scop), 0);
1578
1579 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1580 if (!loop_in_sese_p (loop_outer (loop), region))
1581 build_loop_iteration_domains (scop, loop, ph, 0, domains);
1582
1583 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1584 if (domains[gbb_loop (PBB_BLACK_BOX (pbb))->num])
1585 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1586 (&PBB_DOMAIN (pbb), (ppl_const_Pointset_Powerset_C_Polyhedron_t)
1587 domains[gbb_loop (PBB_BLACK_BOX (pbb))->num]);
1588 else
1589 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1590 (&PBB_DOMAIN (pbb), ph);
1591
1592 for (i = 0; i < nb_loops; i++)
1593 if (domains[i])
1594 ppl_delete_Pointset_Powerset_C_Polyhedron (domains[i]);
1595
1596 ppl_delete_Polyhedron (ph);
1597 free (domains);
1598 }
1599
1600 /* Add a constrain to the ACCESSES polyhedron for the alias set of
1601 data reference DR. ACCESSP_NB_DIMS is the dimension of the
1602 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1603 domain. */
1604
1605 static void
1606 pdr_add_alias_set (ppl_Polyhedron_t accesses, data_reference_p dr,
1607 ppl_dimension_type accessp_nb_dims,
1608 ppl_dimension_type dom_nb_dims)
1609 {
1610 ppl_Linear_Expression_t alias;
1611 ppl_Constraint_t cstr;
1612 int alias_set_num = 0;
1613 base_alias_pair *bap = (base_alias_pair *)(dr->aux);
1614
1615 if (bap && bap->alias_set)
1616 alias_set_num = *(bap->alias_set);
1617
1618 ppl_new_Linear_Expression_with_dimension (&alias, accessp_nb_dims);
1619
1620 ppl_set_coef (alias, dom_nb_dims, 1);
1621 ppl_set_inhomogeneous (alias, -alias_set_num);
1622 ppl_new_Constraint (&cstr, alias, PPL_CONSTRAINT_TYPE_EQUAL);
1623 ppl_Polyhedron_add_constraint (accesses, cstr);
1624
1625 ppl_delete_Linear_Expression (alias);
1626 ppl_delete_Constraint (cstr);
1627 }
1628
1629 /* Add to ACCESSES polyhedron equalities defining the access functions
1630 to the memory. ACCESSP_NB_DIMS is the dimension of the ACCESSES
1631 polyhedron, DOM_NB_DIMS is the dimension of the iteration domain.
1632 PBB is the poly_bb_p that contains the data reference DR. */
1633
1634 static void
1635 pdr_add_memory_accesses (ppl_Polyhedron_t accesses, data_reference_p dr,
1636 ppl_dimension_type accessp_nb_dims,
1637 ppl_dimension_type dom_nb_dims,
1638 poly_bb_p pbb)
1639 {
1640 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1641 Value v;
1642 scop_p scop = PBB_SCOP (pbb);
1643 sese region = SCOP_REGION (scop);
1644
1645 value_init (v);
1646
1647 for (i = 0; i < nb_subscripts; i++)
1648 {
1649 ppl_Linear_Expression_t fn, access;
1650 ppl_Constraint_t cstr;
1651 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1652 tree afn = DR_ACCESS_FN (dr, nb_subscripts - 1 - i);
1653
1654 ppl_new_Linear_Expression_with_dimension (&fn, dom_nb_dims);
1655 ppl_new_Linear_Expression_with_dimension (&access, accessp_nb_dims);
1656
1657 value_set_si (v, 1);
1658 scan_tree_for_params (region, afn, fn, v);
1659 ppl_assign_Linear_Expression_from_Linear_Expression (access, fn);
1660
1661 ppl_set_coef (access, subscript, -1);
1662 ppl_new_Constraint (&cstr, access, PPL_CONSTRAINT_TYPE_EQUAL);
1663 ppl_Polyhedron_add_constraint (accesses, cstr);
1664
1665 ppl_delete_Linear_Expression (fn);
1666 ppl_delete_Linear_Expression (access);
1667 ppl_delete_Constraint (cstr);
1668 }
1669
1670 value_clear (v);
1671 }
1672
1673 /* Add constrains representing the size of the accessed data to the
1674 ACCESSES polyhedron. ACCESSP_NB_DIMS is the dimension of the
1675 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1676 domain. */
1677
1678 static void
1679 pdr_add_data_dimensions (ppl_Polyhedron_t accesses, data_reference_p dr,
1680 ppl_dimension_type accessp_nb_dims,
1681 ppl_dimension_type dom_nb_dims)
1682 {
1683 tree ref = DR_REF (dr);
1684 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1685
1686 for (i = nb_subscripts - 1; i >= 0; i--, ref = TREE_OPERAND (ref, 0))
1687 {
1688 ppl_Linear_Expression_t expr;
1689 ppl_Constraint_t cstr;
1690 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1691 tree low, high;
1692
1693 if (TREE_CODE (ref) != ARRAY_REF)
1694 break;
1695
1696 low = array_ref_low_bound (ref);
1697
1698 /* subscript - low >= 0 */
1699 if (host_integerp (low, 0))
1700 {
1701 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1702 ppl_set_coef (expr, subscript, 1);
1703
1704 ppl_set_inhomogeneous (expr, -int_cst_value (low));
1705
1706 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1707 ppl_Polyhedron_add_constraint (accesses, cstr);
1708 ppl_delete_Linear_Expression (expr);
1709 ppl_delete_Constraint (cstr);
1710 }
1711
1712 high = array_ref_up_bound (ref);
1713
1714 /* high - subscript >= 0 */
1715 if (high && host_integerp (high, 0)
1716 /* 1-element arrays at end of structures may extend over
1717 their declared size. */
1718 && !(array_at_struct_end_p (ref)
1719 && operand_equal_p (low, high, 0)))
1720 {
1721 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1722 ppl_set_coef (expr, subscript, -1);
1723
1724 ppl_set_inhomogeneous (expr, int_cst_value (high));
1725
1726 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1727 ppl_Polyhedron_add_constraint (accesses, cstr);
1728 ppl_delete_Linear_Expression (expr);
1729 ppl_delete_Constraint (cstr);
1730 }
1731 }
1732 }
1733
1734 /* Build data accesses for DR in PBB. */
1735
1736 static void
1737 build_poly_dr (data_reference_p dr, poly_bb_p pbb)
1738 {
1739 ppl_Polyhedron_t accesses;
1740 ppl_Pointset_Powerset_C_Polyhedron_t accesses_ps;
1741 ppl_dimension_type dom_nb_dims;
1742 ppl_dimension_type accessp_nb_dims;
1743 int dr_base_object_set;
1744
1745 ppl_Pointset_Powerset_C_Polyhedron_space_dimension (PBB_DOMAIN (pbb),
1746 &dom_nb_dims);
1747 accessp_nb_dims = dom_nb_dims + 1 + DR_NUM_DIMENSIONS (dr);
1748
1749 ppl_new_C_Polyhedron_from_space_dimension (&accesses, accessp_nb_dims, 0);
1750
1751 pdr_add_alias_set (accesses, dr, accessp_nb_dims, dom_nb_dims);
1752 pdr_add_memory_accesses (accesses, dr, accessp_nb_dims, dom_nb_dims, pbb);
1753 pdr_add_data_dimensions (accesses, dr, accessp_nb_dims, dom_nb_dims);
1754
1755 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron (&accesses_ps,
1756 accesses);
1757 ppl_delete_Polyhedron (accesses);
1758
1759 if (dr->aux)
1760 dr_base_object_set = ((base_alias_pair *)(dr->aux))->base_obj_set;
1761
1762 new_poly_dr (pbb, dr_base_object_set, accesses_ps, DR_IS_READ (dr) ? PDR_READ : PDR_WRITE,
1763 dr, DR_NUM_DIMENSIONS (dr));
1764 }
1765
1766 /* Write to FILE the alias graph of data references in DIMACS format. */
1767
1768 static inline bool
1769 write_alias_graph_to_ascii_dimacs (FILE *file, char *comment,
1770 VEC (data_reference_p, heap) *drs)
1771 {
1772 int num_vertex = VEC_length (data_reference_p, drs);
1773 int edge_num = 0;
1774 data_reference_p dr1, dr2;
1775 int i, j;
1776
1777 if (num_vertex == 0)
1778 return true;
1779
1780 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1781 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1782 if (dr_may_alias_p (dr1, dr2))
1783 edge_num++;
1784
1785 fprintf (file, "$\n");
1786
1787 if (comment)
1788 fprintf (file, "c %s\n", comment);
1789
1790 fprintf (file, "p edge %d %d\n", num_vertex, edge_num);
1791
1792 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1793 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1794 if (dr_may_alias_p (dr1, dr2))
1795 fprintf (file, "e %d %d\n", i + 1, j + 1);
1796
1797 return true;
1798 }
1799
1800 /* Write to FILE the alias graph of data references in DOT format. */
1801
1802 static inline bool
1803 write_alias_graph_to_ascii_dot (FILE *file, char *comment,
1804 VEC (data_reference_p, heap) *drs)
1805 {
1806 int num_vertex = VEC_length (data_reference_p, drs);
1807 data_reference_p dr1, dr2;
1808 int i, j;
1809
1810 if (num_vertex == 0)
1811 return true;
1812
1813 fprintf (file, "$\n");
1814
1815 if (comment)
1816 fprintf (file, "c %s\n", comment);
1817
1818 /* First print all the vertices. */
1819 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1820 fprintf (file, "n%d;\n", i);
1821
1822 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1823 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1824 if (dr_may_alias_p (dr1, dr2))
1825 fprintf (file, "n%d n%d\n", i, j);
1826
1827 return true;
1828 }
1829
1830 /* Write to FILE the alias graph of data references in ECC format. */
1831
1832 static inline bool
1833 write_alias_graph_to_ascii_ecc (FILE *file, char *comment,
1834 VEC (data_reference_p, heap) *drs)
1835 {
1836 int num_vertex = VEC_length (data_reference_p, drs);
1837 data_reference_p dr1, dr2;
1838 int i, j;
1839
1840 if (num_vertex == 0)
1841 return true;
1842
1843 fprintf (file, "$\n");
1844
1845 if (comment)
1846 fprintf (file, "c %s\n", comment);
1847
1848 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1849 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1850 if (dr_may_alias_p (dr1, dr2))
1851 fprintf (file, "%d %d\n", i, j);
1852
1853 return true;
1854 }
1855
1856 /* Check if DR1 and DR2 are in the same object set. */
1857
1858 static bool
1859 dr_same_base_object_p (const struct data_reference *dr1,
1860 const struct data_reference *dr2)
1861 {
1862 return operand_equal_p (DR_BASE_OBJECT (dr1), DR_BASE_OBJECT (dr2), 0);
1863 }
1864
1865 /* Uses DFS component number as representative of alias-sets. Also tests for
1866 optimality by verifying if every connected component is a clique. Returns
1867 true (1) if the above test is true, and false (0) otherwise. */
1868
1869 static int
1870 build_alias_set_optimal_p (VEC (data_reference_p, heap) *drs)
1871 {
1872 int num_vertices = VEC_length (data_reference_p, drs);
1873 struct graph *g = new_graph (num_vertices);
1874 data_reference_p dr1, dr2;
1875 int i, j;
1876 int num_connected_components;
1877 int v_indx1, v_indx2, num_vertices_in_component;
1878 int *all_vertices;
1879 int *vertices;
1880 struct graph_edge *e;
1881 int this_component_is_clique;
1882 int all_components_are_cliques = 1;
1883
1884 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1885 for (j = i+1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1886 if (dr_may_alias_p (dr1, dr2))
1887 {
1888 add_edge (g, i, j);
1889 add_edge (g, j, i);
1890 }
1891
1892 all_vertices = XNEWVEC (int, num_vertices);
1893 vertices = XNEWVEC (int, num_vertices);
1894 for (i = 0; i < num_vertices; i++)
1895 all_vertices[i] = i;
1896
1897 num_connected_components = graphds_dfs (g, all_vertices, num_vertices,
1898 NULL, true, NULL);
1899 for (i = 0; i < g->n_vertices; i++)
1900 {
1901 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1902 base_alias_pair *bap;
1903
1904 if (dr->aux)
1905 bap = (base_alias_pair *)(dr->aux);
1906
1907 bap->alias_set = XNEW (int);
1908 *(bap->alias_set) = g->vertices[i].component + 1;
1909 }
1910
1911 /* Verify if the DFS numbering results in optimal solution. */
1912 for (i = 0; i < num_connected_components; i++)
1913 {
1914 num_vertices_in_component = 0;
1915 /* Get all vertices whose DFS component number is the same as i. */
1916 for (j = 0; j < num_vertices; j++)
1917 if (g->vertices[j].component == i)
1918 vertices[num_vertices_in_component++] = j;
1919
1920 /* Now test if the vertices in 'vertices' form a clique, by testing
1921 for edges among each pair. */
1922 this_component_is_clique = 1;
1923 for (v_indx1 = 0; v_indx1 < num_vertices_in_component; v_indx1++)
1924 {
1925 for (v_indx2 = v_indx1+1; v_indx2 < num_vertices_in_component; v_indx2++)
1926 {
1927 /* Check if the two vertices are connected by iterating
1928 through all the edges which have one of these are source. */
1929 e = g->vertices[vertices[v_indx2]].pred;
1930 while (e)
1931 {
1932 if (e->src == vertices[v_indx1])
1933 break;
1934 e = e->pred_next;
1935 }
1936 if (!e)
1937 {
1938 this_component_is_clique = 0;
1939 break;
1940 }
1941 }
1942 if (!this_component_is_clique)
1943 all_components_are_cliques = 0;
1944 }
1945 }
1946
1947 free (all_vertices);
1948 free (vertices);
1949 free_graph (g);
1950 return all_components_are_cliques;
1951 }
1952
1953 /* Group each data reference in DRS with it's base object set num. */
1954
1955 static void
1956 build_base_obj_set_for_drs (VEC (data_reference_p, heap) *drs)
1957 {
1958 int num_vertex = VEC_length (data_reference_p, drs);
1959 struct graph *g = new_graph (num_vertex);
1960 data_reference_p dr1, dr2;
1961 int i, j;
1962 int *queue;
1963
1964 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1965 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1966 if (dr_same_base_object_p (dr1, dr2))
1967 {
1968 add_edge (g, i, j);
1969 add_edge (g, j, i);
1970 }
1971
1972 queue = XNEWVEC (int, num_vertex);
1973 for (i = 0; i < num_vertex; i++)
1974 queue[i] = i;
1975
1976 graphds_dfs (g, queue, num_vertex, NULL, true, NULL);
1977
1978 for (i = 0; i < g->n_vertices; i++)
1979 {
1980 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1981 base_alias_pair *bap;
1982
1983 if (dr->aux)
1984 bap = (base_alias_pair *)(dr->aux);
1985
1986 bap->base_obj_set = g->vertices[i].component + 1;
1987 }
1988
1989 free (queue);
1990 free_graph (g);
1991 }
1992
1993 /* Build the data references for PBB. */
1994
1995 static void
1996 build_pbb_drs (poly_bb_p pbb)
1997 {
1998 int j;
1999 data_reference_p dr;
2000 VEC (data_reference_p, heap) *gbb_drs = GBB_DATA_REFS (PBB_BLACK_BOX (pbb));
2001
2002 for (j = 0; VEC_iterate (data_reference_p, gbb_drs, j, dr); j++)
2003 build_poly_dr (dr, pbb);
2004 }
2005
2006 /* Dump to file the alias graphs for the data references in DRS. */
2007
2008 static void
2009 dump_alias_graphs (VEC (data_reference_p, heap) *drs)
2010 {
2011 char comment[100];
2012 FILE *file_dimacs, *file_ecc, *file_dot;
2013
2014 file_dimacs = fopen ("/tmp/dr_alias_graph_dimacs", "ab");
2015 if (file_dimacs)
2016 {
2017 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2018 current_function_name ());
2019 write_alias_graph_to_ascii_dimacs (file_dimacs, comment, drs);
2020 fclose (file_dimacs);
2021 }
2022
2023 file_ecc = fopen ("/tmp/dr_alias_graph_ecc", "ab");
2024 if (file_ecc)
2025 {
2026 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2027 current_function_name ());
2028 write_alias_graph_to_ascii_ecc (file_ecc, comment, drs);
2029 fclose (file_ecc);
2030 }
2031
2032 file_dot = fopen ("/tmp/dr_alias_graph_dot", "ab");
2033 if (file_dot)
2034 {
2035 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2036 current_function_name ());
2037 write_alias_graph_to_ascii_dot (file_dot, comment, drs);
2038 fclose (file_dot);
2039 }
2040 }
2041
2042 /* Build data references in SCOP. */
2043
2044 static void
2045 build_scop_drs (scop_p scop)
2046 {
2047 int i, j;
2048 poly_bb_p pbb;
2049 data_reference_p dr;
2050 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 3);
2051
2052 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2053 for (j = 0; VEC_iterate (data_reference_p,
2054 GBB_DATA_REFS (PBB_BLACK_BOX (pbb)), j, dr); j++)
2055 VEC_safe_push (data_reference_p, heap, drs, dr);
2056
2057 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr); i++)
2058 dr->aux = XNEW (base_alias_pair);
2059
2060 if (!build_alias_set_optimal_p (drs))
2061 {
2062 /* TODO: Add support when building alias set is not optimal. */
2063 ;
2064 }
2065
2066 build_base_obj_set_for_drs (drs);
2067
2068 /* When debugging, enable the following code. This cannot be used
2069 in production compilers. */
2070 if (0)
2071 dump_alias_graphs (drs);
2072
2073 VEC_free (data_reference_p, heap, drs);
2074
2075 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2076 build_pbb_drs (pbb);
2077 }
2078
2079 /* Return a gsi at the position of the phi node STMT. */
2080
2081 static gimple_stmt_iterator
2082 gsi_for_phi_node (gimple stmt)
2083 {
2084 gimple_stmt_iterator psi;
2085 basic_block bb = gimple_bb (stmt);
2086
2087 for (psi = gsi_start_phis (bb); !gsi_end_p (psi); gsi_next (&psi))
2088 if (stmt == gsi_stmt (psi))
2089 return psi;
2090
2091 gcc_unreachable ();
2092 return psi;
2093 }
2094
2095 /* Insert the assignment "RES := VAR" just after the definition of VAR. */
2096
2097 static void
2098 insert_out_of_ssa_copy (tree res, tree var)
2099 {
2100 gimple stmt;
2101 gimple_seq stmts;
2102 gimple_stmt_iterator si;
2103 gimple_stmt_iterator gsi;
2104
2105 var = force_gimple_operand (var, &stmts, true, NULL_TREE);
2106 stmt = gimple_build_assign (res, var);
2107 if (!stmts)
2108 stmts = gimple_seq_alloc ();
2109 si = gsi_last (stmts);
2110 gsi_insert_after (&si, stmt, GSI_NEW_STMT);
2111
2112 stmt = SSA_NAME_DEF_STMT (var);
2113 if (gimple_code (stmt) == GIMPLE_PHI)
2114 {
2115 gsi = gsi_after_labels (gimple_bb (stmt));
2116 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2117 }
2118 else
2119 {
2120 gsi = gsi_for_stmt (stmt);
2121 gsi_insert_seq_after (&gsi, stmts, GSI_NEW_STMT);
2122 }
2123 }
2124
2125 /* Insert on edge E the assignment "RES := EXPR". */
2126
2127 static void
2128 insert_out_of_ssa_copy_on_edge (edge e, tree res, tree expr)
2129 {
2130 gimple_stmt_iterator gsi;
2131 gimple_seq stmts;
2132 tree var = force_gimple_operand (expr, &stmts, true, NULL_TREE);
2133 gimple stmt = gimple_build_assign (res, var);
2134
2135 if (!stmts)
2136 stmts = gimple_seq_alloc ();
2137
2138 gsi = gsi_last (stmts);
2139 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2140 gsi_insert_seq_on_edge (e, stmts);
2141 gsi_commit_edge_inserts ();
2142 }
2143
2144 /* Creates a zero dimension array of the same type as VAR. */
2145
2146 static tree
2147 create_zero_dim_array (tree var, const char *base_name)
2148 {
2149 tree index_type = build_index_type (integer_zero_node);
2150 tree elt_type = TREE_TYPE (var);
2151 tree array_type = build_array_type (elt_type, index_type);
2152 tree base = create_tmp_var (array_type, base_name);
2153
2154 add_referenced_var (base);
2155
2156 return build4 (ARRAY_REF, elt_type, base, integer_zero_node, NULL_TREE,
2157 NULL_TREE);
2158 }
2159
2160 /* Returns true when PHI is a loop close phi node. */
2161
2162 static bool
2163 scalar_close_phi_node_p (gimple phi)
2164 {
2165 if (gimple_code (phi) != GIMPLE_PHI
2166 || !is_gimple_reg (gimple_phi_result (phi)))
2167 return false;
2168
2169 return (gimple_phi_num_args (phi) == 1);
2170 }
2171
2172 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2173 dimension array for it. */
2174
2175 static void
2176 rewrite_close_phi_out_of_ssa (gimple_stmt_iterator *psi)
2177 {
2178 gimple phi = gsi_stmt (*psi);
2179 tree res = gimple_phi_result (phi);
2180 tree var = SSA_NAME_VAR (res);
2181 tree zero_dim_array = create_zero_dim_array (var, "Close_Phi");
2182 gimple_stmt_iterator gsi = gsi_after_labels (gimple_bb (phi));
2183 gimple stmt = gimple_build_assign (res, zero_dim_array);
2184 tree arg = gimple_phi_arg_def (phi, 0);
2185
2186 if (TREE_CODE (arg) == SSA_NAME)
2187 insert_out_of_ssa_copy (zero_dim_array, arg);
2188 else
2189 insert_out_of_ssa_copy_on_edge (single_pred_edge (gimple_bb (phi)),
2190 zero_dim_array, arg);
2191
2192 remove_phi_node (psi, false);
2193 gsi_insert_before (&gsi, stmt, GSI_NEW_STMT);
2194 SSA_NAME_DEF_STMT (res) = stmt;
2195 }
2196
2197 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2198 dimension array for it. */
2199
2200 static void
2201 rewrite_phi_out_of_ssa (gimple_stmt_iterator *psi)
2202 {
2203 size_t i;
2204 gimple phi = gsi_stmt (*psi);
2205 basic_block bb = gimple_bb (phi);
2206 tree res = gimple_phi_result (phi);
2207 tree var = SSA_NAME_VAR (res);
2208 tree zero_dim_array = create_zero_dim_array (var, "General_Reduction");
2209 gimple_stmt_iterator gsi;
2210 gimple stmt;
2211 gimple_seq stmts;
2212
2213 for (i = 0; i < gimple_phi_num_args (phi); i++)
2214 {
2215 tree arg = gimple_phi_arg_def (phi, i);
2216
2217 /* Try to avoid the insertion on edges as much as possible: this
2218 would avoid the insertion of code on loop latch edges, making
2219 the pattern matching of the vectorizer happy, or it would
2220 avoid the insertion of useless basic blocks. Note that it is
2221 incorrect to insert out of SSA copies close by their
2222 definition when they are more than two loop levels apart:
2223 for example, starting from a double nested loop
2224
2225 | a = ...
2226 | loop_1
2227 | loop_2
2228 | b = phi (a, c)
2229 | c = ...
2230 | end_2
2231 | end_1
2232
2233 the following transform is incorrect
2234
2235 | a = ...
2236 | Red[0] = a
2237 | loop_1
2238 | loop_2
2239 | b = Red[0]
2240 | c = ...
2241 | Red[0] = c
2242 | end_2
2243 | end_1
2244
2245 whereas inserting the copy on the incoming edge is correct
2246
2247 | a = ...
2248 | loop_1
2249 | Red[0] = a
2250 | loop_2
2251 | b = Red[0]
2252 | c = ...
2253 | Red[0] = c
2254 | end_2
2255 | end_1
2256 */
2257 if (TREE_CODE (arg) == SSA_NAME
2258 && is_gimple_reg (arg)
2259 && gimple_bb (SSA_NAME_DEF_STMT (arg))
2260 && (flow_bb_inside_loop_p (bb->loop_father,
2261 gimple_bb (SSA_NAME_DEF_STMT (arg)))
2262 || flow_bb_inside_loop_p (loop_outer (bb->loop_father),
2263 gimple_bb (SSA_NAME_DEF_STMT (arg)))))
2264 insert_out_of_ssa_copy (zero_dim_array, arg);
2265 else
2266 insert_out_of_ssa_copy_on_edge (gimple_phi_arg_edge (phi, i),
2267 zero_dim_array, arg);
2268 }
2269
2270 var = force_gimple_operand (zero_dim_array, &stmts, true, NULL_TREE);
2271
2272 if (!stmts)
2273 stmts = gimple_seq_alloc ();
2274
2275 stmt = gimple_build_assign (res, var);
2276 remove_phi_node (psi, false);
2277 SSA_NAME_DEF_STMT (res) = stmt;
2278
2279 gsi = gsi_last (stmts);
2280 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2281
2282 gsi = gsi_after_labels (bb);
2283 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2284 }
2285
2286 /* Return true when DEF can be analyzed in REGION by the scalar
2287 evolution analyzer. */
2288
2289 static bool
2290 scev_analyzable_p (tree def, sese region)
2291 {
2292 gimple stmt = SSA_NAME_DEF_STMT (def);
2293 loop_p loop = loop_containing_stmt (stmt);
2294 tree scev = scalar_evolution_in_region (region, loop, def);
2295
2296 return !chrec_contains_undetermined (scev);
2297 }
2298
2299 /* Rewrite the scalar dependence of DEF used in USE_STMT with a memory
2300 read from ZERO_DIM_ARRAY. */
2301
2302 static void
2303 rewrite_cross_bb_scalar_dependence (tree zero_dim_array, tree def, gimple use_stmt)
2304 {
2305 tree var = SSA_NAME_VAR (def);
2306 gimple name_stmt = gimple_build_assign (var, zero_dim_array);
2307 tree name = make_ssa_name (var, name_stmt);
2308 ssa_op_iter iter;
2309 use_operand_p use_p;
2310 gimple_stmt_iterator gsi;
2311
2312 gcc_assert (gimple_code (use_stmt) != GIMPLE_PHI);
2313
2314 gimple_assign_set_lhs (name_stmt, name);
2315
2316 gsi = gsi_for_stmt (use_stmt);
2317 gsi_insert_before (&gsi, name_stmt, GSI_NEW_STMT);
2318
2319 FOR_EACH_SSA_USE_OPERAND (use_p, use_stmt, iter, SSA_OP_ALL_USES)
2320 if (operand_equal_p (def, USE_FROM_PTR (use_p), 0))
2321 replace_exp (use_p, name);
2322
2323 update_stmt (use_stmt);
2324 }
2325
2326 /* Rewrite the scalar dependences crossing the boundary of the BB
2327 containing STMT with an array. */
2328
2329 static void
2330 rewrite_cross_bb_scalar_deps (sese region, gimple_stmt_iterator *gsi)
2331 {
2332 gimple stmt = gsi_stmt (*gsi);
2333 imm_use_iterator imm_iter;
2334 tree def;
2335 basic_block def_bb;
2336 tree zero_dim_array = NULL_TREE;
2337 gimple use_stmt;
2338
2339 if (gimple_code (stmt) != GIMPLE_ASSIGN)
2340 return;
2341
2342 def = gimple_assign_lhs (stmt);
2343 if (!is_gimple_reg (def)
2344 || scev_analyzable_p (def, region))
2345 return;
2346
2347 def_bb = gimple_bb (stmt);
2348
2349 FOR_EACH_IMM_USE_STMT (use_stmt, imm_iter, def)
2350 if (def_bb != gimple_bb (use_stmt)
2351 && gimple_code (use_stmt) != GIMPLE_PHI)
2352 {
2353 if (!zero_dim_array)
2354 {
2355 zero_dim_array = create_zero_dim_array
2356 (SSA_NAME_VAR (def), "Cross_BB_scalar_dependence");
2357 insert_out_of_ssa_copy (zero_dim_array, def);
2358 gsi_next (gsi);
2359 }
2360
2361 rewrite_cross_bb_scalar_dependence (zero_dim_array, def, use_stmt);
2362 }
2363 }
2364
2365 /* Rewrite out of SSA all the reduction phi nodes of SCOP. */
2366
2367 static void
2368 rewrite_reductions_out_of_ssa (scop_p scop)
2369 {
2370 basic_block bb;
2371 gimple_stmt_iterator psi;
2372 sese region = SCOP_REGION (scop);
2373
2374 FOR_EACH_BB (bb)
2375 if (bb_in_sese_p (bb, region))
2376 for (psi = gsi_start_phis (bb); !gsi_end_p (psi);)
2377 {
2378 if (scalar_close_phi_node_p (gsi_stmt (psi)))
2379 rewrite_close_phi_out_of_ssa (&psi);
2380 else if (reduction_phi_p (region, &psi))
2381 rewrite_phi_out_of_ssa (&psi);
2382 }
2383
2384 update_ssa (TODO_update_ssa);
2385 #ifdef ENABLE_CHECKING
2386 verify_ssa (false);
2387 verify_loop_closed_ssa ();
2388 #endif
2389
2390 FOR_EACH_BB (bb)
2391 if (bb_in_sese_p (bb, region))
2392 for (psi = gsi_start_bb (bb); !gsi_end_p (psi); gsi_next (&psi))
2393 rewrite_cross_bb_scalar_deps (region, &psi);
2394
2395 update_ssa (TODO_update_ssa);
2396 #ifdef ENABLE_CHECKING
2397 verify_ssa (false);
2398 verify_loop_closed_ssa ();
2399 #endif
2400 }
2401
2402 /* Returns the number of pbbs that are in loops contained in SCOP. */
2403
2404 static int
2405 nb_pbbs_in_loops (scop_p scop)
2406 {
2407 int i;
2408 poly_bb_p pbb;
2409 int res = 0;
2410
2411 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2412 if (loop_in_sese_p (gbb_loop (PBB_BLACK_BOX (pbb)), SCOP_REGION (scop)))
2413 res++;
2414
2415 return res;
2416 }
2417
2418 /* Return the number of data references in BB that write in
2419 memory. */
2420
2421 static int
2422 nb_data_writes_in_bb (basic_block bb)
2423 {
2424 int res = 0;
2425 gimple_stmt_iterator gsi;
2426
2427 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
2428 if (gimple_vdef (gsi_stmt (gsi)))
2429 res++;
2430
2431 return res;
2432 }
2433
2434 /* Splits STMT out of its current BB. */
2435
2436 static basic_block
2437 split_reduction_stmt (gimple stmt)
2438 {
2439 gimple_stmt_iterator gsi;
2440 basic_block bb = gimple_bb (stmt);
2441 edge e;
2442
2443 /* Do not split basic blocks with no writes to memory: the reduction
2444 will be the only write to memory. */
2445 if (nb_data_writes_in_bb (bb) == 0)
2446 return bb;
2447
2448 split_block (bb, stmt);
2449
2450 if (gsi_one_before_end_p (gsi_start_bb (bb)))
2451 return bb;
2452
2453 gsi = gsi_last_bb (bb);
2454 gsi_prev (&gsi);
2455 e = split_block (bb, gsi_stmt (gsi));
2456
2457 return e->dest;
2458 }
2459
2460 /* Return true when stmt is a reduction operation. */
2461
2462 static inline bool
2463 is_reduction_operation_p (gimple stmt)
2464 {
2465 enum tree_code code;
2466
2467 gcc_assert (is_gimple_assign (stmt));
2468 code = gimple_assign_rhs_code (stmt);
2469
2470 return flag_associative_math
2471 && commutative_tree_code (code)
2472 && associative_tree_code (code);
2473 }
2474
2475 /* Returns true when PHI contains an argument ARG. */
2476
2477 static bool
2478 phi_contains_arg (gimple phi, tree arg)
2479 {
2480 size_t i;
2481
2482 for (i = 0; i < gimple_phi_num_args (phi); i++)
2483 if (operand_equal_p (arg, gimple_phi_arg_def (phi, i), 0))
2484 return true;
2485
2486 return false;
2487 }
2488
2489 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2490
2491 static gimple
2492 follow_ssa_with_commutative_ops (tree arg, tree lhs)
2493 {
2494 gimple stmt;
2495
2496 if (TREE_CODE (arg) != SSA_NAME)
2497 return NULL;
2498
2499 stmt = SSA_NAME_DEF_STMT (arg);
2500
2501 if (gimple_code (stmt) == GIMPLE_NOP
2502 || gimple_code (stmt) == GIMPLE_CALL)
2503 return NULL;
2504
2505 if (gimple_code (stmt) == GIMPLE_PHI)
2506 {
2507 if (phi_contains_arg (stmt, lhs))
2508 return stmt;
2509 return NULL;
2510 }
2511
2512 if (!is_gimple_assign (stmt))
2513 return NULL;
2514
2515 if (gimple_num_ops (stmt) == 2)
2516 return follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2517
2518 if (is_reduction_operation_p (stmt))
2519 {
2520 gimple res = follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2521
2522 return res ? res :
2523 follow_ssa_with_commutative_ops (gimple_assign_rhs2 (stmt), lhs);
2524 }
2525
2526 return NULL;
2527 }
2528
2529 /* Detect commutative and associative scalar reductions starting at
2530 the STMT. Return the phi node of the reduction cycle, or NULL. */
2531
2532 static gimple
2533 detect_commutative_reduction_arg (tree lhs, gimple stmt, tree arg,
2534 VEC (gimple, heap) **in,
2535 VEC (gimple, heap) **out)
2536 {
2537 gimple phi = follow_ssa_with_commutative_ops (arg, lhs);
2538
2539 if (!phi)
2540 return NULL;
2541
2542 VEC_safe_push (gimple, heap, *in, stmt);
2543 VEC_safe_push (gimple, heap, *out, stmt);
2544 return phi;
2545 }
2546
2547 /* Detect commutative and associative scalar reductions starting at
2548 the STMT. Return the phi node of the reduction cycle, or NULL. */
2549
2550 static gimple
2551 detect_commutative_reduction_assign (gimple stmt, VEC (gimple, heap) **in,
2552 VEC (gimple, heap) **out)
2553 {
2554 tree lhs = gimple_assign_lhs (stmt);
2555
2556 if (gimple_num_ops (stmt) == 2)
2557 return detect_commutative_reduction_arg (lhs, stmt,
2558 gimple_assign_rhs1 (stmt),
2559 in, out);
2560
2561 if (is_reduction_operation_p (stmt))
2562 {
2563 gimple res = detect_commutative_reduction_arg (lhs, stmt,
2564 gimple_assign_rhs1 (stmt),
2565 in, out);
2566 return res ? res
2567 : detect_commutative_reduction_arg (lhs, stmt,
2568 gimple_assign_rhs2 (stmt),
2569 in, out);
2570 }
2571
2572 return NULL;
2573 }
2574
2575 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2576
2577 static gimple
2578 follow_inital_value_to_phi (tree arg, tree lhs)
2579 {
2580 gimple stmt;
2581
2582 if (!arg || TREE_CODE (arg) != SSA_NAME)
2583 return NULL;
2584
2585 stmt = SSA_NAME_DEF_STMT (arg);
2586
2587 if (gimple_code (stmt) == GIMPLE_PHI
2588 && phi_contains_arg (stmt, lhs))
2589 return stmt;
2590
2591 return NULL;
2592 }
2593
2594
2595 /* Return the argument of the loop PHI that is the inital value coming
2596 from outside the loop. */
2597
2598 static edge
2599 edge_initial_value_for_loop_phi (gimple phi)
2600 {
2601 size_t i;
2602
2603 for (i = 0; i < gimple_phi_num_args (phi); i++)
2604 {
2605 edge e = gimple_phi_arg_edge (phi, i);
2606
2607 if (loop_depth (e->src->loop_father)
2608 < loop_depth (e->dest->loop_father))
2609 return e;
2610 }
2611
2612 return NULL;
2613 }
2614
2615 /* Return the argument of the loop PHI that is the inital value coming
2616 from outside the loop. */
2617
2618 static tree
2619 initial_value_for_loop_phi (gimple phi)
2620 {
2621 size_t i;
2622
2623 for (i = 0; i < gimple_phi_num_args (phi); i++)
2624 {
2625 edge e = gimple_phi_arg_edge (phi, i);
2626
2627 if (loop_depth (e->src->loop_father)
2628 < loop_depth (e->dest->loop_father))
2629 return gimple_phi_arg_def (phi, i);
2630 }
2631
2632 return NULL_TREE;
2633 }
2634
2635 /* Detect commutative and associative scalar reductions starting at
2636 the loop closed phi node CLOSE_PHI. Return the phi node of the
2637 reduction cycle, or NULL. */
2638
2639 static gimple
2640 detect_commutative_reduction (gimple stmt, VEC (gimple, heap) **in,
2641 VEC (gimple, heap) **out)
2642 {
2643 if (scalar_close_phi_node_p (stmt))
2644 {
2645 tree arg = gimple_phi_arg_def (stmt, 0);
2646 gimple def, loop_phi;
2647
2648 if (TREE_CODE (arg) != SSA_NAME)
2649 return NULL;
2650
2651 def = SSA_NAME_DEF_STMT (arg);
2652 loop_phi = detect_commutative_reduction (def, in, out);
2653
2654 if (loop_phi)
2655 {
2656 tree lhs = gimple_phi_result (stmt);
2657 tree init = initial_value_for_loop_phi (loop_phi);
2658 gimple phi = follow_inital_value_to_phi (init, lhs);
2659
2660 VEC_safe_push (gimple, heap, *in, loop_phi);
2661 VEC_safe_push (gimple, heap, *out, stmt);
2662 return phi;
2663 }
2664 else
2665 return NULL;
2666 }
2667
2668 if (gimple_code (stmt) == GIMPLE_ASSIGN)
2669 return detect_commutative_reduction_assign (stmt, in, out);
2670
2671 return NULL;
2672 }
2673
2674 /* Translate the scalar reduction statement STMT to an array RED
2675 knowing that its recursive phi node is LOOP_PHI. */
2676
2677 static void
2678 translate_scalar_reduction_to_array_for_stmt (tree red, gimple stmt,
2679 gimple loop_phi)
2680 {
2681 gimple_stmt_iterator insert_gsi = gsi_after_labels (gimple_bb (loop_phi));
2682 tree res = gimple_phi_result (loop_phi);
2683 gimple assign = gimple_build_assign (res, red);
2684
2685 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2686
2687 insert_gsi = gsi_after_labels (gimple_bb (stmt));
2688 assign = gimple_build_assign (red, gimple_assign_lhs (stmt));
2689 insert_gsi = gsi_for_stmt (stmt);
2690 gsi_insert_after (&insert_gsi, assign, GSI_SAME_STMT);
2691 }
2692
2693 /* Insert the assignment "result (CLOSE_PHI) = RED". */
2694
2695 static void
2696 insert_copyout (tree red, gimple close_phi)
2697 {
2698 tree res = gimple_phi_result (close_phi);
2699 basic_block bb = gimple_bb (close_phi);
2700 gimple_stmt_iterator insert_gsi = gsi_after_labels (bb);
2701 gimple assign = gimple_build_assign (res, red);
2702
2703 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2704 }
2705
2706 /* Insert the assignment "RED = initial_value (LOOP_PHI)". */
2707
2708 static void
2709 insert_copyin (tree red, gimple loop_phi)
2710 {
2711 gimple_seq stmts;
2712 tree init = initial_value_for_loop_phi (loop_phi);
2713 tree expr = build2 (MODIFY_EXPR, TREE_TYPE (init), red, init);
2714
2715 force_gimple_operand (expr, &stmts, true, NULL);
2716 gsi_insert_seq_on_edge (edge_initial_value_for_loop_phi (loop_phi), stmts);
2717 }
2718
2719 /* Removes the PHI node and resets all the debug stmts that are using
2720 the PHI_RESULT. */
2721
2722 static void
2723 remove_phi (gimple phi)
2724 {
2725 imm_use_iterator imm_iter;
2726 tree def;
2727 use_operand_p use_p;
2728 gimple_stmt_iterator gsi;
2729 VEC (gimple, heap) *update = VEC_alloc (gimple, heap, 3);
2730 unsigned int i;
2731 gimple stmt;
2732
2733 def = PHI_RESULT (phi);
2734 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, def)
2735 {
2736 stmt = USE_STMT (use_p);
2737
2738 if (is_gimple_debug (stmt))
2739 {
2740 gimple_debug_bind_reset_value (stmt);
2741 VEC_safe_push (gimple, heap, update, stmt);
2742 }
2743 }
2744
2745 for (i = 0; VEC_iterate (gimple, update, i, stmt); i++)
2746 update_stmt (stmt);
2747
2748 VEC_free (gimple, heap, update);
2749
2750 gsi = gsi_for_phi_node (phi);
2751 remove_phi_node (&gsi, false);
2752 }
2753
2754 /* Rewrite out of SSA the reduction described by the loop phi nodes
2755 IN, and the close phi nodes OUT. IN and OUT are structured by loop
2756 levels like this:
2757
2758 IN: stmt, loop_n, ..., loop_0
2759 OUT: stmt, close_n, ..., close_0
2760
2761 the first element is the reduction statement, and the next elements
2762 are the loop and close phi nodes of each of the outer loops. */
2763
2764 static void
2765 translate_scalar_reduction_to_array (VEC (gimple, heap) *in,
2766 VEC (gimple, heap) *out,
2767 sbitmap reductions)
2768 {
2769 unsigned int i;
2770 gimple loop_phi;
2771 tree red;
2772
2773 for (i = 0; VEC_iterate (gimple, in, i, loop_phi); i++)
2774 {
2775 gimple close_phi = VEC_index (gimple, out, i);
2776
2777 if (i == 0)
2778 {
2779 gimple stmt = loop_phi;
2780 basic_block bb = split_reduction_stmt (stmt);
2781
2782 SET_BIT (reductions, bb->index);
2783 gcc_assert (close_phi == loop_phi);
2784
2785 red = create_zero_dim_array
2786 (gimple_assign_lhs (stmt), "Commutative_Associative_Reduction");
2787 translate_scalar_reduction_to_array_for_stmt
2788 (red, stmt, VEC_index (gimple, in, 1));
2789 continue;
2790 }
2791
2792 if (i == VEC_length (gimple, in) - 1)
2793 {
2794 insert_copyout (red, close_phi);
2795 insert_copyin (red, loop_phi);
2796 }
2797
2798 remove_phi (loop_phi);
2799 remove_phi (close_phi);
2800 }
2801 }
2802
2803 /* Rewrites out of SSA a commutative reduction at CLOSE_PHI. */
2804
2805 static void
2806 rewrite_commutative_reductions_out_of_ssa_close_phi (gimple close_phi,
2807 sbitmap reductions)
2808 {
2809 VEC (gimple, heap) *in = VEC_alloc (gimple, heap, 10);
2810 VEC (gimple, heap) *out = VEC_alloc (gimple, heap, 10);
2811
2812 detect_commutative_reduction (close_phi, &in, &out);
2813 if (VEC_length (gimple, in) > 0)
2814 translate_scalar_reduction_to_array (in, out, reductions);
2815
2816 VEC_free (gimple, heap, in);
2817 VEC_free (gimple, heap, out);
2818 }
2819
2820 /* Rewrites all the commutative reductions from LOOP out of SSA. */
2821
2822 static void
2823 rewrite_commutative_reductions_out_of_ssa_loop (loop_p loop,
2824 sbitmap reductions)
2825 {
2826 gimple_stmt_iterator gsi;
2827 edge exit = single_exit (loop);
2828
2829 if (!exit)
2830 return;
2831
2832 for (gsi = gsi_start_phis (exit->dest); !gsi_end_p (gsi); gsi_next (&gsi))
2833 rewrite_commutative_reductions_out_of_ssa_close_phi (gsi_stmt (gsi),
2834 reductions);
2835 }
2836
2837 /* Rewrites all the commutative reductions from SCOP out of SSA. */
2838
2839 static void
2840 rewrite_commutative_reductions_out_of_ssa (sese region, sbitmap reductions)
2841 {
2842 loop_iterator li;
2843 loop_p loop;
2844
2845 FOR_EACH_LOOP (li, loop, 0)
2846 if (loop_in_sese_p (loop, region))
2847 rewrite_commutative_reductions_out_of_ssa_loop (loop, reductions);
2848
2849 gsi_commit_edge_inserts ();
2850 update_ssa (TODO_update_ssa);
2851 #ifdef ENABLE_CHECKING
2852 verify_ssa (false);
2853 verify_loop_closed_ssa ();
2854 #endif
2855 }
2856
2857 /* A LOOP is in normal form for Graphite when it contains only one
2858 scalar phi node that defines the main induction variable of the
2859 loop, only one increment of the IV, and only one exit condition. */
2860
2861 static void
2862 graphite_loop_normal_form (loop_p loop)
2863 {
2864 struct tree_niter_desc niter;
2865 tree nit;
2866 gimple_seq stmts;
2867 edge exit = single_dom_exit (loop);
2868
2869 bool known_niter = number_of_iterations_exit (loop, exit, &niter, false);
2870
2871 /* At this point we should know the number of iterations, */
2872 gcc_assert (known_niter);
2873
2874 nit = force_gimple_operand (unshare_expr (niter.niter), &stmts, true,
2875 NULL_TREE);
2876 if (stmts)
2877 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
2878
2879 loop->single_iv = canonicalize_loop_ivs (loop, &nit);
2880 }
2881
2882 /* Rewrite all the loops of SCOP in normal form: one induction
2883 variable per loop. */
2884
2885 static void
2886 scop_canonicalize_loops (scop_p scop)
2887 {
2888 loop_iterator li;
2889 loop_p loop;
2890
2891 FOR_EACH_LOOP (li, loop, 0)
2892 if (loop_in_sese_p (loop, SCOP_REGION (scop)))
2893 graphite_loop_normal_form (loop);
2894 }
2895
2896 /* Can all ivs be represented by a signed integer?
2897 As CLooG might generate negative values in its expressions, signed loop ivs
2898 are required in the backend. */
2899 static bool
2900 scop_ivs_can_be_represented (scop_p scop)
2901 {
2902 loop_iterator li;
2903 loop_p loop;
2904
2905 FOR_EACH_LOOP (li, loop, 0)
2906 {
2907 tree type;
2908 int precision;
2909
2910 if (!loop_in_sese_p (loop, SCOP_REGION (scop)))
2911 continue;
2912
2913 if (!loop->single_iv)
2914 continue;
2915
2916 type = TREE_TYPE(loop->single_iv);
2917 precision = TYPE_PRECISION (type);
2918
2919 if (TYPE_UNSIGNED (type)
2920 && precision >= TYPE_PRECISION (long_long_integer_type_node))
2921 return false;
2922 }
2923
2924 return true;
2925 }
2926
2927
2928 /* Builds the polyhedral representation for a SESE region. */
2929
2930 bool
2931 build_poly_scop (scop_p scop)
2932 {
2933 sese region = SCOP_REGION (scop);
2934 sbitmap reductions = sbitmap_alloc (last_basic_block * 2);
2935
2936 sbitmap_zero (reductions);
2937 rewrite_commutative_reductions_out_of_ssa (region, reductions);
2938 rewrite_reductions_out_of_ssa (scop);
2939 build_scop_bbs (scop, reductions);
2940 sbitmap_free (reductions);
2941
2942 /* FIXME: This restriction is needed to avoid a problem in CLooG.
2943 Once CLooG is fixed, remove this guard. Anyways, it makes no
2944 sense to optimize a scop containing only PBBs that do not belong
2945 to any loops. */
2946 if (nb_pbbs_in_loops (scop) == 0)
2947 return false;
2948
2949 scop_canonicalize_loops (scop);
2950
2951 if (!scop_ivs_can_be_represented (scop))
2952 return false;
2953
2954 build_sese_loop_nests (region);
2955 build_sese_conditions (region);
2956 find_scop_parameters (scop);
2957
2958 build_scop_iteration_domain (scop);
2959 build_scop_context (scop);
2960
2961 add_conditions_to_constraints (scop);
2962 scop_to_lst (scop);
2963 build_scop_scattering (scop);
2964 build_scop_drs (scop);
2965 POLY_SCOP_P (scop) = true;
2966
2967 return true;
2968 }
2969
2970 /* Always return false. Exercise the scop_to_clast function. */
2971
2972 void
2973 check_poly_representation (scop_p scop ATTRIBUTE_UNUSED)
2974 {
2975 #ifdef ENABLE_CHECKING
2976 cloog_prog_clast pc = scop_to_clast (scop);
2977 cloog_clast_free (pc.stmt);
2978 cloog_program_free (pc.prog);
2979 #endif
2980 }
2981 #endif