Fix PR43354: Correctly handle default definitions.
[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 /* 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 /* Insert in the SCOP context constraints from the estimation of the
1042 number of iterations. UB_EXPR is a linear expression describing
1043 the number of iterations in a loop. This expression is bounded by
1044 the estimation NIT. */
1045
1046 static void
1047 add_upper_bounds_from_estimated_nit (scop_p scop, double_int nit,
1048 ppl_dimension_type dim,
1049 ppl_Linear_Expression_t ub_expr)
1050 {
1051 Value val;
1052 ppl_Linear_Expression_t nb_iters_le;
1053 ppl_Polyhedron_t pol;
1054 ppl_Coefficient_t coef;
1055 ppl_Constraint_t ub;
1056
1057 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1058 ppl_new_C_Polyhedron_from_space_dimension (&pol, dim, 0);
1059 ppl_new_Linear_Expression_from_Linear_Expression (&nb_iters_le,
1060 ub_expr);
1061
1062 /* Construct the negated number of last iteration in VAL. */
1063 value_init (val);
1064 mpz_set_double_int (val, nit, false);
1065 value_sub_int (val, val, 1);
1066 value_oppose (val, val);
1067
1068 /* NB_ITERS_LE holds the number of last iteration in
1069 parametrical form. Subtract estimated number of last
1070 iteration and assert that result is not positive. */
1071 ppl_new_Coefficient_from_mpz_t (&coef, val);
1072 ppl_Linear_Expression_add_to_inhomogeneous (nb_iters_le, coef);
1073 ppl_delete_Coefficient (coef);
1074 ppl_new_Constraint (&ub, nb_iters_le,
1075 PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1076 ppl_Polyhedron_add_constraint (pol, ub);
1077
1078 /* Remove all but last GDIM dimensions from POL to obtain
1079 only the constraints on the parameters. */
1080 {
1081 graphite_dim_t gdim = scop_nb_params (scop);
1082 ppl_dimension_type *dims = XNEWVEC (ppl_dimension_type, dim - gdim);
1083 graphite_dim_t i;
1084
1085 for (i = 0; i < dim - gdim; i++)
1086 dims[i] = i;
1087
1088 ppl_Polyhedron_remove_space_dimensions (pol, dims, dim - gdim);
1089 XDELETEVEC (dims);
1090 }
1091
1092 /* Add the constraints on the parameters to the SCoP context. */
1093 {
1094 ppl_Pointset_Powerset_C_Polyhedron_t constraints_ps;
1095
1096 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1097 (&constraints_ps, pol);
1098 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1099 (SCOP_CONTEXT (scop), constraints_ps);
1100 ppl_delete_Pointset_Powerset_C_Polyhedron (constraints_ps);
1101 }
1102
1103 ppl_delete_Polyhedron (pol);
1104 ppl_delete_Linear_Expression (nb_iters_le);
1105 ppl_delete_Constraint (ub);
1106 value_clear (val);
1107 }
1108
1109 /* Builds the constraint polyhedra for LOOP in SCOP. OUTER_PH gives
1110 the constraints for the surrounding loops. */
1111
1112 static void
1113 build_loop_iteration_domains (scop_p scop, struct loop *loop,
1114 ppl_Polyhedron_t outer_ph, int nb,
1115 ppl_Pointset_Powerset_C_Polyhedron_t *domains)
1116 {
1117 int i;
1118 ppl_Polyhedron_t ph;
1119 tree nb_iters = number_of_latch_executions (loop);
1120 ppl_dimension_type dim = nb + 1 + scop_nb_params (scop);
1121 sese region = SCOP_REGION (scop);
1122
1123 {
1124 ppl_const_Constraint_System_t pcs;
1125 ppl_dimension_type *map
1126 = (ppl_dimension_type *) XNEWVEC (ppl_dimension_type, dim);
1127
1128 ppl_new_C_Polyhedron_from_space_dimension (&ph, dim, 0);
1129 ppl_Polyhedron_get_constraints (outer_ph, &pcs);
1130 ppl_Polyhedron_add_constraints (ph, pcs);
1131
1132 for (i = 0; i < (int) nb; i++)
1133 map[i] = i;
1134 for (i = (int) nb; i < (int) dim - 1; i++)
1135 map[i] = i + 1;
1136 map[dim - 1] = nb;
1137
1138 ppl_Polyhedron_map_space_dimensions (ph, map, dim);
1139 free (map);
1140 }
1141
1142 /* 0 <= loop_i */
1143 {
1144 ppl_Constraint_t lb;
1145 ppl_Linear_Expression_t lb_expr;
1146
1147 ppl_new_Linear_Expression_with_dimension (&lb_expr, dim);
1148 ppl_set_coef (lb_expr, nb, 1);
1149 ppl_new_Constraint (&lb, lb_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1150 ppl_delete_Linear_Expression (lb_expr);
1151 ppl_Polyhedron_add_constraint (ph, lb);
1152 ppl_delete_Constraint (lb);
1153 }
1154
1155 if (TREE_CODE (nb_iters) == INTEGER_CST)
1156 {
1157 ppl_Constraint_t ub;
1158 ppl_Linear_Expression_t ub_expr;
1159
1160 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1161
1162 /* loop_i <= cst_nb_iters */
1163 ppl_set_coef (ub_expr, nb, -1);
1164 ppl_set_inhomogeneous_tree (ub_expr, nb_iters);
1165 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1166 ppl_Polyhedron_add_constraint (ph, ub);
1167 ppl_delete_Linear_Expression (ub_expr);
1168 ppl_delete_Constraint (ub);
1169 }
1170 else if (!chrec_contains_undetermined (nb_iters))
1171 {
1172 Value one;
1173 ppl_Constraint_t ub;
1174 ppl_Linear_Expression_t ub_expr;
1175 double_int nit;
1176
1177 value_init (one);
1178 value_set_si (one, 1);
1179 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1180 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1181 scan_tree_for_params (SCOP_REGION (scop), nb_iters, ub_expr, one);
1182 value_clear (one);
1183
1184 if (estimated_loop_iterations (loop, true, &nit))
1185 add_upper_bounds_from_estimated_nit (scop, nit, dim, ub_expr);
1186
1187 /* loop_i <= expr_nb_iters */
1188 ppl_set_coef (ub_expr, nb, -1);
1189 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1190 ppl_Polyhedron_add_constraint (ph, ub);
1191 ppl_delete_Linear_Expression (ub_expr);
1192 ppl_delete_Constraint (ub);
1193 }
1194 else
1195 gcc_unreachable ();
1196
1197 if (loop->inner && loop_in_sese_p (loop->inner, region))
1198 build_loop_iteration_domains (scop, loop->inner, ph, nb + 1, domains);
1199
1200 if (nb != 0
1201 && loop->next
1202 && loop_in_sese_p (loop->next, region))
1203 build_loop_iteration_domains (scop, loop->next, outer_ph, nb, domains);
1204
1205 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1206 (&domains[loop->num], ph);
1207
1208 ppl_delete_Polyhedron (ph);
1209 }
1210
1211 /* Returns a linear expression for tree T evaluated in PBB. */
1212
1213 static ppl_Linear_Expression_t
1214 create_linear_expr_from_tree (poly_bb_p pbb, tree t)
1215 {
1216 Value one;
1217 ppl_Linear_Expression_t res;
1218 ppl_dimension_type dim;
1219 sese region = SCOP_REGION (PBB_SCOP (pbb));
1220 loop_p loop = pbb_loop (pbb);
1221
1222 dim = pbb_dim_iter_domain (pbb) + pbb_nb_params (pbb);
1223 ppl_new_Linear_Expression_with_dimension (&res, dim);
1224
1225 t = scalar_evolution_in_region (region, loop, t);
1226 gcc_assert (!automatically_generated_chrec_p (t));
1227
1228 value_init (one);
1229 value_set_si (one, 1);
1230 scan_tree_for_params (region, t, res, one);
1231 value_clear (one);
1232
1233 return res;
1234 }
1235
1236 /* Returns the ppl constraint type from the gimple tree code CODE. */
1237
1238 static enum ppl_enum_Constraint_Type
1239 ppl_constraint_type_from_tree_code (enum tree_code code)
1240 {
1241 switch (code)
1242 {
1243 /* We do not support LT and GT to be able to work with C_Polyhedron.
1244 As we work on integer polyhedron "a < b" can be expressed by
1245 "a + 1 <= b". */
1246 case LT_EXPR:
1247 case GT_EXPR:
1248 gcc_unreachable ();
1249
1250 case LE_EXPR:
1251 return PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL;
1252
1253 case GE_EXPR:
1254 return PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL;
1255
1256 case EQ_EXPR:
1257 return PPL_CONSTRAINT_TYPE_EQUAL;
1258
1259 default:
1260 gcc_unreachable ();
1261 }
1262 }
1263
1264 /* Add conditional statement STMT to PS. It is evaluated in PBB and
1265 CODE is used as the comparison operator. This allows us to invert the
1266 condition or to handle inequalities. */
1267
1268 static void
1269 add_condition_to_domain (ppl_Pointset_Powerset_C_Polyhedron_t ps, gimple stmt,
1270 poly_bb_p pbb, enum tree_code code)
1271 {
1272 Value v;
1273 ppl_Coefficient_t c;
1274 ppl_Linear_Expression_t left, right;
1275 ppl_Constraint_t cstr;
1276 enum ppl_enum_Constraint_Type type;
1277
1278 left = create_linear_expr_from_tree (pbb, gimple_cond_lhs (stmt));
1279 right = create_linear_expr_from_tree (pbb, gimple_cond_rhs (stmt));
1280
1281 /* If we have < or > expressions convert them to <= or >= by adding 1 to
1282 the left or the right side of the expression. */
1283 if (code == LT_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 (left, c);
1290 ppl_delete_Coefficient (c);
1291 value_clear (v);
1292
1293 code = LE_EXPR;
1294 }
1295 else if (code == GT_EXPR)
1296 {
1297 value_init (v);
1298 value_set_si (v, 1);
1299 ppl_new_Coefficient (&c);
1300 ppl_assign_Coefficient_from_mpz_t (c, v);
1301 ppl_Linear_Expression_add_to_inhomogeneous (right, c);
1302 ppl_delete_Coefficient (c);
1303 value_clear (v);
1304
1305 code = GE_EXPR;
1306 }
1307
1308 type = ppl_constraint_type_from_tree_code (code);
1309
1310 ppl_subtract_Linear_Expression_from_Linear_Expression (left, right);
1311
1312 ppl_new_Constraint (&cstr, left, type);
1313 ppl_Pointset_Powerset_C_Polyhedron_add_constraint (ps, cstr);
1314
1315 ppl_delete_Constraint (cstr);
1316 ppl_delete_Linear_Expression (left);
1317 ppl_delete_Linear_Expression (right);
1318 }
1319
1320 /* Add conditional statement STMT to pbb. CODE is used as the comparision
1321 operator. This allows us to invert the condition or to handle
1322 inequalities. */
1323
1324 static void
1325 add_condition_to_pbb (poly_bb_p pbb, gimple stmt, enum tree_code code)
1326 {
1327 if (code == NE_EXPR)
1328 {
1329 ppl_Pointset_Powerset_C_Polyhedron_t left = PBB_DOMAIN (pbb);
1330 ppl_Pointset_Powerset_C_Polyhedron_t right;
1331 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1332 (&right, left);
1333 add_condition_to_domain (left, stmt, pbb, LT_EXPR);
1334 add_condition_to_domain (right, stmt, pbb, GT_EXPR);
1335 ppl_Pointset_Powerset_C_Polyhedron_upper_bound_assign (left,
1336 right);
1337 ppl_delete_Pointset_Powerset_C_Polyhedron (right);
1338 }
1339 else
1340 add_condition_to_domain (PBB_DOMAIN (pbb), stmt, pbb, code);
1341 }
1342
1343 /* Add conditions to the domain of PBB. */
1344
1345 static void
1346 add_conditions_to_domain (poly_bb_p pbb)
1347 {
1348 unsigned int i;
1349 gimple stmt;
1350 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
1351 VEC (gimple, heap) *conditions = GBB_CONDITIONS (gbb);
1352
1353 if (VEC_empty (gimple, conditions))
1354 return;
1355
1356 for (i = 0; VEC_iterate (gimple, conditions, i, stmt); i++)
1357 switch (gimple_code (stmt))
1358 {
1359 case GIMPLE_COND:
1360 {
1361 enum tree_code code = gimple_cond_code (stmt);
1362
1363 /* The conditions for ELSE-branches are inverted. */
1364 if (VEC_index (gimple, gbb->condition_cases, i) == NULL)
1365 code = invert_tree_comparison (code, false);
1366
1367 add_condition_to_pbb (pbb, stmt, code);
1368 break;
1369 }
1370
1371 case GIMPLE_SWITCH:
1372 /* Switch statements are not supported right now - fall throught. */
1373
1374 default:
1375 gcc_unreachable ();
1376 break;
1377 }
1378 }
1379
1380 /* Structure used to pass data to dom_walk. */
1381
1382 struct bsc
1383 {
1384 VEC (gimple, heap) **conditions, **cases;
1385 sese region;
1386 };
1387
1388 /* Returns non NULL when BB has a single predecessor and the last
1389 statement of that predecessor is a COND_EXPR. */
1390
1391 static gimple
1392 single_pred_cond (basic_block bb)
1393 {
1394 if (single_pred_p (bb))
1395 {
1396 edge e = single_pred_edge (bb);
1397 basic_block pred = e->src;
1398 gimple stmt = last_stmt (pred);
1399
1400 if (stmt && gimple_code (stmt) == GIMPLE_COND)
1401 return stmt;
1402 }
1403 return NULL;
1404 }
1405
1406 /* Call-back for dom_walk executed before visiting the dominated
1407 blocks. */
1408
1409 static void
1410 build_sese_conditions_before (struct dom_walk_data *dw_data,
1411 basic_block bb)
1412 {
1413 struct bsc *data = (struct bsc *) dw_data->global_data;
1414 VEC (gimple, heap) **conditions = data->conditions;
1415 VEC (gimple, heap) **cases = data->cases;
1416 gimple_bb_p gbb = gbb_from_bb (bb);
1417 gimple stmt = single_pred_cond (bb);
1418
1419 if (!bb_in_sese_p (bb, data->region))
1420 return;
1421
1422 if (stmt)
1423 {
1424 edge e = single_pred_edge (bb);
1425
1426 VEC_safe_push (gimple, heap, *conditions, stmt);
1427
1428 if (e->flags & EDGE_TRUE_VALUE)
1429 VEC_safe_push (gimple, heap, *cases, stmt);
1430 else
1431 VEC_safe_push (gimple, heap, *cases, NULL);
1432 }
1433
1434 if (gbb)
1435 {
1436 GBB_CONDITIONS (gbb) = VEC_copy (gimple, heap, *conditions);
1437 GBB_CONDITION_CASES (gbb) = VEC_copy (gimple, heap, *cases);
1438 }
1439 }
1440
1441 /* Call-back for dom_walk executed after visiting the dominated
1442 blocks. */
1443
1444 static void
1445 build_sese_conditions_after (struct dom_walk_data *dw_data,
1446 basic_block bb)
1447 {
1448 struct bsc *data = (struct bsc *) dw_data->global_data;
1449 VEC (gimple, heap) **conditions = data->conditions;
1450 VEC (gimple, heap) **cases = data->cases;
1451
1452 if (!bb_in_sese_p (bb, data->region))
1453 return;
1454
1455 if (single_pred_cond (bb))
1456 {
1457 VEC_pop (gimple, *conditions);
1458 VEC_pop (gimple, *cases);
1459 }
1460 }
1461
1462 /* Record all conditions in REGION. */
1463
1464 static void
1465 build_sese_conditions (sese region)
1466 {
1467 struct dom_walk_data walk_data;
1468 VEC (gimple, heap) *conditions = VEC_alloc (gimple, heap, 3);
1469 VEC (gimple, heap) *cases = VEC_alloc (gimple, heap, 3);
1470 struct bsc data;
1471
1472 data.conditions = &conditions;
1473 data.cases = &cases;
1474 data.region = region;
1475
1476 walk_data.dom_direction = CDI_DOMINATORS;
1477 walk_data.initialize_block_local_data = NULL;
1478 walk_data.before_dom_children = build_sese_conditions_before;
1479 walk_data.after_dom_children = build_sese_conditions_after;
1480 walk_data.global_data = &data;
1481 walk_data.block_local_data_size = 0;
1482
1483 init_walk_dominator_tree (&walk_data);
1484 walk_dominator_tree (&walk_data, SESE_ENTRY_BB (region));
1485 fini_walk_dominator_tree (&walk_data);
1486
1487 VEC_free (gimple, heap, conditions);
1488 VEC_free (gimple, heap, cases);
1489 }
1490
1491 /* Traverses all the GBBs of the SCOP and add their constraints to the
1492 iteration domains. */
1493
1494 static void
1495 add_conditions_to_constraints (scop_p scop)
1496 {
1497 int i;
1498 poly_bb_p pbb;
1499
1500 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1501 add_conditions_to_domain (pbb);
1502 }
1503
1504 /* Add constraints on the possible values of parameter P from the type
1505 of P. */
1506
1507 static void
1508 add_param_constraints (scop_p scop, ppl_Polyhedron_t context, graphite_dim_t p)
1509 {
1510 ppl_Constraint_t cstr;
1511 ppl_Linear_Expression_t le;
1512 tree parameter = VEC_index (tree, SESE_PARAMS (SCOP_REGION (scop)), p);
1513 tree type = TREE_TYPE (parameter);
1514 tree lb = NULL_TREE;
1515 tree ub = NULL_TREE;
1516
1517 if (POINTER_TYPE_P (type) || !TYPE_MIN_VALUE (type))
1518 lb = lower_bound_in_type (type, type);
1519 else
1520 lb = TYPE_MIN_VALUE (type);
1521
1522 if (POINTER_TYPE_P (type) || !TYPE_MAX_VALUE (type))
1523 ub = upper_bound_in_type (type, type);
1524 else
1525 ub = TYPE_MAX_VALUE (type);
1526
1527 if (lb)
1528 {
1529 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1530 ppl_set_coef (le, p, -1);
1531 ppl_set_inhomogeneous_tree (le, lb);
1532 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1533 ppl_Polyhedron_add_constraint (context, cstr);
1534 ppl_delete_Linear_Expression (le);
1535 ppl_delete_Constraint (cstr);
1536 }
1537
1538 if (ub)
1539 {
1540 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1541 ppl_set_coef (le, p, -1);
1542 ppl_set_inhomogeneous_tree (le, ub);
1543 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1544 ppl_Polyhedron_add_constraint (context, cstr);
1545 ppl_delete_Linear_Expression (le);
1546 ppl_delete_Constraint (cstr);
1547 }
1548 }
1549
1550 /* Build the context of the SCOP. The context usually contains extra
1551 constraints that are added to the iteration domains that constrain
1552 some parameters. */
1553
1554 static void
1555 build_scop_context (scop_p scop)
1556 {
1557 ppl_Polyhedron_t context;
1558 ppl_Pointset_Powerset_C_Polyhedron_t ps;
1559 graphite_dim_t p, n = scop_nb_params (scop);
1560
1561 ppl_new_C_Polyhedron_from_space_dimension (&context, n, 0);
1562
1563 for (p = 0; p < n; p++)
1564 add_param_constraints (scop, context, p);
1565
1566 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1567 (&ps, context);
1568 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1569 (SCOP_CONTEXT (scop), ps);
1570
1571 ppl_delete_Pointset_Powerset_C_Polyhedron (ps);
1572 ppl_delete_Polyhedron (context);
1573 }
1574
1575 /* Build the iteration domains: the loops belonging to the current
1576 SCOP, and that vary for the execution of the current basic block.
1577 Returns false if there is no loop in SCOP. */
1578
1579 static void
1580 build_scop_iteration_domain (scop_p scop)
1581 {
1582 struct loop *loop;
1583 sese region = SCOP_REGION (scop);
1584 int i;
1585 ppl_Polyhedron_t ph;
1586 poly_bb_p pbb;
1587 int nb_loops = number_of_loops ();
1588 ppl_Pointset_Powerset_C_Polyhedron_t *domains
1589 = XNEWVEC (ppl_Pointset_Powerset_C_Polyhedron_t, nb_loops);
1590
1591 for (i = 0; i < nb_loops; i++)
1592 domains[i] = NULL;
1593
1594 ppl_new_C_Polyhedron_from_space_dimension (&ph, scop_nb_params (scop), 0);
1595
1596 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1597 if (!loop_in_sese_p (loop_outer (loop), region))
1598 build_loop_iteration_domains (scop, loop, ph, 0, domains);
1599
1600 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1601 if (domains[gbb_loop (PBB_BLACK_BOX (pbb))->num])
1602 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1603 (&PBB_DOMAIN (pbb), (ppl_const_Pointset_Powerset_C_Polyhedron_t)
1604 domains[gbb_loop (PBB_BLACK_BOX (pbb))->num]);
1605 else
1606 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1607 (&PBB_DOMAIN (pbb), ph);
1608
1609 for (i = 0; i < nb_loops; i++)
1610 if (domains[i])
1611 ppl_delete_Pointset_Powerset_C_Polyhedron (domains[i]);
1612
1613 ppl_delete_Polyhedron (ph);
1614 free (domains);
1615 }
1616
1617 /* Add a constrain to the ACCESSES polyhedron for the alias set of
1618 data reference DR. ACCESSP_NB_DIMS is the dimension of the
1619 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1620 domain. */
1621
1622 static void
1623 pdr_add_alias_set (ppl_Polyhedron_t accesses, data_reference_p dr,
1624 ppl_dimension_type accessp_nb_dims,
1625 ppl_dimension_type dom_nb_dims)
1626 {
1627 ppl_Linear_Expression_t alias;
1628 ppl_Constraint_t cstr;
1629 int alias_set_num = 0;
1630 base_alias_pair *bap = (base_alias_pair *)(dr->aux);
1631
1632 if (bap && bap->alias_set)
1633 alias_set_num = *(bap->alias_set);
1634
1635 ppl_new_Linear_Expression_with_dimension (&alias, accessp_nb_dims);
1636
1637 ppl_set_coef (alias, dom_nb_dims, 1);
1638 ppl_set_inhomogeneous (alias, -alias_set_num);
1639 ppl_new_Constraint (&cstr, alias, PPL_CONSTRAINT_TYPE_EQUAL);
1640 ppl_Polyhedron_add_constraint (accesses, cstr);
1641
1642 ppl_delete_Linear_Expression (alias);
1643 ppl_delete_Constraint (cstr);
1644 }
1645
1646 /* Add to ACCESSES polyhedron equalities defining the access functions
1647 to the memory. ACCESSP_NB_DIMS is the dimension of the ACCESSES
1648 polyhedron, DOM_NB_DIMS is the dimension of the iteration domain.
1649 PBB is the poly_bb_p that contains the data reference DR. */
1650
1651 static void
1652 pdr_add_memory_accesses (ppl_Polyhedron_t accesses, data_reference_p dr,
1653 ppl_dimension_type accessp_nb_dims,
1654 ppl_dimension_type dom_nb_dims,
1655 poly_bb_p pbb)
1656 {
1657 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1658 Value v;
1659 scop_p scop = PBB_SCOP (pbb);
1660 sese region = SCOP_REGION (scop);
1661
1662 value_init (v);
1663
1664 for (i = 0; i < nb_subscripts; i++)
1665 {
1666 ppl_Linear_Expression_t fn, access;
1667 ppl_Constraint_t cstr;
1668 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1669 tree afn = DR_ACCESS_FN (dr, nb_subscripts - 1 - i);
1670
1671 ppl_new_Linear_Expression_with_dimension (&fn, dom_nb_dims);
1672 ppl_new_Linear_Expression_with_dimension (&access, accessp_nb_dims);
1673
1674 value_set_si (v, 1);
1675 scan_tree_for_params (region, afn, fn, v);
1676 ppl_assign_Linear_Expression_from_Linear_Expression (access, fn);
1677
1678 ppl_set_coef (access, subscript, -1);
1679 ppl_new_Constraint (&cstr, access, PPL_CONSTRAINT_TYPE_EQUAL);
1680 ppl_Polyhedron_add_constraint (accesses, cstr);
1681
1682 ppl_delete_Linear_Expression (fn);
1683 ppl_delete_Linear_Expression (access);
1684 ppl_delete_Constraint (cstr);
1685 }
1686
1687 value_clear (v);
1688 }
1689
1690 /* Add constrains representing the size of the accessed data to the
1691 ACCESSES polyhedron. ACCESSP_NB_DIMS is the dimension of the
1692 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1693 domain. */
1694
1695 static void
1696 pdr_add_data_dimensions (ppl_Polyhedron_t accesses, data_reference_p dr,
1697 ppl_dimension_type accessp_nb_dims,
1698 ppl_dimension_type dom_nb_dims)
1699 {
1700 tree ref = DR_REF (dr);
1701 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1702
1703 for (i = nb_subscripts - 1; i >= 0; i--, ref = TREE_OPERAND (ref, 0))
1704 {
1705 ppl_Linear_Expression_t expr;
1706 ppl_Constraint_t cstr;
1707 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1708 tree low, high;
1709
1710 if (TREE_CODE (ref) != ARRAY_REF)
1711 break;
1712
1713 low = array_ref_low_bound (ref);
1714
1715 /* subscript - low >= 0 */
1716 if (host_integerp (low, 0))
1717 {
1718 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1719 ppl_set_coef (expr, subscript, 1);
1720
1721 ppl_set_inhomogeneous (expr, -int_cst_value (low));
1722
1723 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1724 ppl_Polyhedron_add_constraint (accesses, cstr);
1725 ppl_delete_Linear_Expression (expr);
1726 ppl_delete_Constraint (cstr);
1727 }
1728
1729 high = array_ref_up_bound (ref);
1730
1731 /* high - subscript >= 0 */
1732 if (high && host_integerp (high, 0)
1733 /* 1-element arrays at end of structures may extend over
1734 their declared size. */
1735 && !(array_at_struct_end_p (ref)
1736 && operand_equal_p (low, high, 0)))
1737 {
1738 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1739 ppl_set_coef (expr, subscript, -1);
1740
1741 ppl_set_inhomogeneous (expr, int_cst_value (high));
1742
1743 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1744 ppl_Polyhedron_add_constraint (accesses, cstr);
1745 ppl_delete_Linear_Expression (expr);
1746 ppl_delete_Constraint (cstr);
1747 }
1748 }
1749 }
1750
1751 /* Build data accesses for DR in PBB. */
1752
1753 static void
1754 build_poly_dr (data_reference_p dr, poly_bb_p pbb)
1755 {
1756 ppl_Polyhedron_t accesses;
1757 ppl_Pointset_Powerset_C_Polyhedron_t accesses_ps;
1758 ppl_dimension_type dom_nb_dims;
1759 ppl_dimension_type accessp_nb_dims;
1760 int dr_base_object_set;
1761
1762 ppl_Pointset_Powerset_C_Polyhedron_space_dimension (PBB_DOMAIN (pbb),
1763 &dom_nb_dims);
1764 accessp_nb_dims = dom_nb_dims + 1 + DR_NUM_DIMENSIONS (dr);
1765
1766 ppl_new_C_Polyhedron_from_space_dimension (&accesses, accessp_nb_dims, 0);
1767
1768 pdr_add_alias_set (accesses, dr, accessp_nb_dims, dom_nb_dims);
1769 pdr_add_memory_accesses (accesses, dr, accessp_nb_dims, dom_nb_dims, pbb);
1770 pdr_add_data_dimensions (accesses, dr, accessp_nb_dims, dom_nb_dims);
1771
1772 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron (&accesses_ps,
1773 accesses);
1774 ppl_delete_Polyhedron (accesses);
1775
1776 if (dr->aux)
1777 dr_base_object_set = ((base_alias_pair *)(dr->aux))->base_obj_set;
1778
1779 new_poly_dr (pbb, dr_base_object_set, accesses_ps, DR_IS_READ (dr) ? PDR_READ : PDR_WRITE,
1780 dr, DR_NUM_DIMENSIONS (dr));
1781 }
1782
1783 /* Write to FILE the alias graph of data references in DIMACS format. */
1784
1785 static inline bool
1786 write_alias_graph_to_ascii_dimacs (FILE *file, char *comment,
1787 VEC (data_reference_p, heap) *drs)
1788 {
1789 int num_vertex = VEC_length (data_reference_p, drs);
1790 int edge_num = 0;
1791 data_reference_p dr1, dr2;
1792 int i, j;
1793
1794 if (num_vertex == 0)
1795 return true;
1796
1797 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1798 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1799 if (dr_may_alias_p (dr1, dr2))
1800 edge_num++;
1801
1802 fprintf (file, "$\n");
1803
1804 if (comment)
1805 fprintf (file, "c %s\n", comment);
1806
1807 fprintf (file, "p edge %d %d\n", num_vertex, edge_num);
1808
1809 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1810 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1811 if (dr_may_alias_p (dr1, dr2))
1812 fprintf (file, "e %d %d\n", i + 1, j + 1);
1813
1814 return true;
1815 }
1816
1817 /* Write to FILE the alias graph of data references in DOT format. */
1818
1819 static inline bool
1820 write_alias_graph_to_ascii_dot (FILE *file, char *comment,
1821 VEC (data_reference_p, heap) *drs)
1822 {
1823 int num_vertex = VEC_length (data_reference_p, drs);
1824 data_reference_p dr1, dr2;
1825 int i, j;
1826
1827 if (num_vertex == 0)
1828 return true;
1829
1830 fprintf (file, "$\n");
1831
1832 if (comment)
1833 fprintf (file, "c %s\n", comment);
1834
1835 /* First print all the vertices. */
1836 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1837 fprintf (file, "n%d;\n", i);
1838
1839 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1840 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1841 if (dr_may_alias_p (dr1, dr2))
1842 fprintf (file, "n%d n%d\n", i, j);
1843
1844 return true;
1845 }
1846
1847 /* Write to FILE the alias graph of data references in ECC format. */
1848
1849 static inline bool
1850 write_alias_graph_to_ascii_ecc (FILE *file, char *comment,
1851 VEC (data_reference_p, heap) *drs)
1852 {
1853 int num_vertex = VEC_length (data_reference_p, drs);
1854 data_reference_p dr1, dr2;
1855 int i, j;
1856
1857 if (num_vertex == 0)
1858 return true;
1859
1860 fprintf (file, "$\n");
1861
1862 if (comment)
1863 fprintf (file, "c %s\n", comment);
1864
1865 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1866 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1867 if (dr_may_alias_p (dr1, dr2))
1868 fprintf (file, "%d %d\n", i, j);
1869
1870 return true;
1871 }
1872
1873 /* Check if DR1 and DR2 are in the same object set. */
1874
1875 static bool
1876 dr_same_base_object_p (const struct data_reference *dr1,
1877 const struct data_reference *dr2)
1878 {
1879 return operand_equal_p (DR_BASE_OBJECT (dr1), DR_BASE_OBJECT (dr2), 0);
1880 }
1881
1882 /* Uses DFS component number as representative of alias-sets. Also tests for
1883 optimality by verifying if every connected component is a clique. Returns
1884 true (1) if the above test is true, and false (0) otherwise. */
1885
1886 static int
1887 build_alias_set_optimal_p (VEC (data_reference_p, heap) *drs)
1888 {
1889 int num_vertices = VEC_length (data_reference_p, drs);
1890 struct graph *g = new_graph (num_vertices);
1891 data_reference_p dr1, dr2;
1892 int i, j;
1893 int num_connected_components;
1894 int v_indx1, v_indx2, num_vertices_in_component;
1895 int *all_vertices;
1896 int *vertices;
1897 struct graph_edge *e;
1898 int this_component_is_clique;
1899 int all_components_are_cliques = 1;
1900
1901 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1902 for (j = i+1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1903 if (dr_may_alias_p (dr1, dr2))
1904 {
1905 add_edge (g, i, j);
1906 add_edge (g, j, i);
1907 }
1908
1909 all_vertices = XNEWVEC (int, num_vertices);
1910 vertices = XNEWVEC (int, num_vertices);
1911 for (i = 0; i < num_vertices; i++)
1912 all_vertices[i] = i;
1913
1914 num_connected_components = graphds_dfs (g, all_vertices, num_vertices,
1915 NULL, true, NULL);
1916 for (i = 0; i < g->n_vertices; i++)
1917 {
1918 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1919 base_alias_pair *bap;
1920
1921 if (dr->aux)
1922 bap = (base_alias_pair *)(dr->aux);
1923
1924 bap->alias_set = XNEW (int);
1925 *(bap->alias_set) = g->vertices[i].component + 1;
1926 }
1927
1928 /* Verify if the DFS numbering results in optimal solution. */
1929 for (i = 0; i < num_connected_components; i++)
1930 {
1931 num_vertices_in_component = 0;
1932 /* Get all vertices whose DFS component number is the same as i. */
1933 for (j = 0; j < num_vertices; j++)
1934 if (g->vertices[j].component == i)
1935 vertices[num_vertices_in_component++] = j;
1936
1937 /* Now test if the vertices in 'vertices' form a clique, by testing
1938 for edges among each pair. */
1939 this_component_is_clique = 1;
1940 for (v_indx1 = 0; v_indx1 < num_vertices_in_component; v_indx1++)
1941 {
1942 for (v_indx2 = v_indx1+1; v_indx2 < num_vertices_in_component; v_indx2++)
1943 {
1944 /* Check if the two vertices are connected by iterating
1945 through all the edges which have one of these are source. */
1946 e = g->vertices[vertices[v_indx2]].pred;
1947 while (e)
1948 {
1949 if (e->src == vertices[v_indx1])
1950 break;
1951 e = e->pred_next;
1952 }
1953 if (!e)
1954 {
1955 this_component_is_clique = 0;
1956 break;
1957 }
1958 }
1959 if (!this_component_is_clique)
1960 all_components_are_cliques = 0;
1961 }
1962 }
1963
1964 free (all_vertices);
1965 free (vertices);
1966 free_graph (g);
1967 return all_components_are_cliques;
1968 }
1969
1970 /* Group each data reference in DRS with it's base object set num. */
1971
1972 static void
1973 build_base_obj_set_for_drs (VEC (data_reference_p, heap) *drs)
1974 {
1975 int num_vertex = VEC_length (data_reference_p, drs);
1976 struct graph *g = new_graph (num_vertex);
1977 data_reference_p dr1, dr2;
1978 int i, j;
1979 int *queue;
1980
1981 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1982 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1983 if (dr_same_base_object_p (dr1, dr2))
1984 {
1985 add_edge (g, i, j);
1986 add_edge (g, j, i);
1987 }
1988
1989 queue = XNEWVEC (int, num_vertex);
1990 for (i = 0; i < num_vertex; i++)
1991 queue[i] = i;
1992
1993 graphds_dfs (g, queue, num_vertex, NULL, true, NULL);
1994
1995 for (i = 0; i < g->n_vertices; i++)
1996 {
1997 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1998 base_alias_pair *bap;
1999
2000 if (dr->aux)
2001 bap = (base_alias_pair *)(dr->aux);
2002
2003 bap->base_obj_set = g->vertices[i].component + 1;
2004 }
2005
2006 free (queue);
2007 free_graph (g);
2008 }
2009
2010 /* Build the data references for PBB. */
2011
2012 static void
2013 build_pbb_drs (poly_bb_p pbb)
2014 {
2015 int j;
2016 data_reference_p dr;
2017 VEC (data_reference_p, heap) *gbb_drs = GBB_DATA_REFS (PBB_BLACK_BOX (pbb));
2018
2019 for (j = 0; VEC_iterate (data_reference_p, gbb_drs, j, dr); j++)
2020 build_poly_dr (dr, pbb);
2021 }
2022
2023 /* Dump to file the alias graphs for the data references in DRS. */
2024
2025 static void
2026 dump_alias_graphs (VEC (data_reference_p, heap) *drs)
2027 {
2028 char comment[100];
2029 FILE *file_dimacs, *file_ecc, *file_dot;
2030
2031 file_dimacs = fopen ("/tmp/dr_alias_graph_dimacs", "ab");
2032 if (file_dimacs)
2033 {
2034 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2035 current_function_name ());
2036 write_alias_graph_to_ascii_dimacs (file_dimacs, comment, drs);
2037 fclose (file_dimacs);
2038 }
2039
2040 file_ecc = fopen ("/tmp/dr_alias_graph_ecc", "ab");
2041 if (file_ecc)
2042 {
2043 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2044 current_function_name ());
2045 write_alias_graph_to_ascii_ecc (file_ecc, comment, drs);
2046 fclose (file_ecc);
2047 }
2048
2049 file_dot = fopen ("/tmp/dr_alias_graph_dot", "ab");
2050 if (file_dot)
2051 {
2052 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2053 current_function_name ());
2054 write_alias_graph_to_ascii_dot (file_dot, comment, drs);
2055 fclose (file_dot);
2056 }
2057 }
2058
2059 /* Build data references in SCOP. */
2060
2061 static void
2062 build_scop_drs (scop_p scop)
2063 {
2064 int i, j;
2065 poly_bb_p pbb;
2066 data_reference_p dr;
2067 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 3);
2068
2069 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2070 for (j = 0; VEC_iterate (data_reference_p,
2071 GBB_DATA_REFS (PBB_BLACK_BOX (pbb)), j, dr); j++)
2072 VEC_safe_push (data_reference_p, heap, drs, dr);
2073
2074 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr); i++)
2075 dr->aux = XNEW (base_alias_pair);
2076
2077 if (!build_alias_set_optimal_p (drs))
2078 {
2079 /* TODO: Add support when building alias set is not optimal. */
2080 ;
2081 }
2082
2083 build_base_obj_set_for_drs (drs);
2084
2085 /* When debugging, enable the following code. This cannot be used
2086 in production compilers. */
2087 if (0)
2088 dump_alias_graphs (drs);
2089
2090 VEC_free (data_reference_p, heap, drs);
2091
2092 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2093 build_pbb_drs (pbb);
2094 }
2095
2096 /* Return a gsi at the position of the phi node STMT. */
2097
2098 static gimple_stmt_iterator
2099 gsi_for_phi_node (gimple stmt)
2100 {
2101 gimple_stmt_iterator psi;
2102 basic_block bb = gimple_bb (stmt);
2103
2104 for (psi = gsi_start_phis (bb); !gsi_end_p (psi); gsi_next (&psi))
2105 if (stmt == gsi_stmt (psi))
2106 return psi;
2107
2108 gcc_unreachable ();
2109 return psi;
2110 }
2111
2112 /* Insert the assignment "RES := VAR" just after the definition of VAR. */
2113
2114 static void
2115 insert_out_of_ssa_copy (tree res, tree var)
2116 {
2117 gimple stmt;
2118 gimple_seq stmts;
2119 gimple_stmt_iterator si;
2120 gimple_stmt_iterator gsi;
2121
2122 var = force_gimple_operand (var, &stmts, true, NULL_TREE);
2123 stmt = gimple_build_assign (res, var);
2124 if (!stmts)
2125 stmts = gimple_seq_alloc ();
2126 si = gsi_last (stmts);
2127 gsi_insert_after (&si, stmt, GSI_NEW_STMT);
2128
2129 stmt = SSA_NAME_DEF_STMT (var);
2130 if (gimple_code (stmt) == GIMPLE_PHI)
2131 {
2132 gsi = gsi_after_labels (gimple_bb (stmt));
2133 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2134 }
2135 else
2136 {
2137 gsi = gsi_for_stmt (stmt);
2138 gsi_insert_seq_after (&gsi, stmts, GSI_NEW_STMT);
2139 }
2140 }
2141
2142 /* Insert on edge E the assignment "RES := EXPR". */
2143
2144 static void
2145 insert_out_of_ssa_copy_on_edge (edge e, tree res, tree expr)
2146 {
2147 gimple_stmt_iterator gsi;
2148 gimple_seq stmts;
2149 tree var = force_gimple_operand (expr, &stmts, true, NULL_TREE);
2150 gimple stmt = gimple_build_assign (res, var);
2151
2152 if (!stmts)
2153 stmts = gimple_seq_alloc ();
2154
2155 gsi = gsi_last (stmts);
2156 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2157 gsi_insert_seq_on_edge (e, stmts);
2158 gsi_commit_edge_inserts ();
2159 }
2160
2161 /* Creates a zero dimension array of the same type as VAR. */
2162
2163 static tree
2164 create_zero_dim_array (tree var, const char *base_name)
2165 {
2166 tree index_type = build_index_type (integer_zero_node);
2167 tree elt_type = TREE_TYPE (var);
2168 tree array_type = build_array_type (elt_type, index_type);
2169 tree base = create_tmp_var (array_type, base_name);
2170
2171 add_referenced_var (base);
2172
2173 return build4 (ARRAY_REF, elt_type, base, integer_zero_node, NULL_TREE,
2174 NULL_TREE);
2175 }
2176
2177 /* Returns true when PHI is a loop close phi node. */
2178
2179 static bool
2180 scalar_close_phi_node_p (gimple phi)
2181 {
2182 if (gimple_code (phi) != GIMPLE_PHI
2183 || !is_gimple_reg (gimple_phi_result (phi)))
2184 return false;
2185
2186 return (gimple_phi_num_args (phi) == 1);
2187 }
2188
2189 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2190 dimension array for it. */
2191
2192 static void
2193 rewrite_close_phi_out_of_ssa (gimple_stmt_iterator *psi)
2194 {
2195 gimple phi = gsi_stmt (*psi);
2196 tree res = gimple_phi_result (phi);
2197 tree var = SSA_NAME_VAR (res);
2198 tree zero_dim_array = create_zero_dim_array (var, "Close_Phi");
2199 gimple_stmt_iterator gsi = gsi_after_labels (gimple_bb (phi));
2200 gimple stmt = gimple_build_assign (res, zero_dim_array);
2201 tree arg = gimple_phi_arg_def (phi, 0);
2202
2203 if (TREE_CODE (arg) == SSA_NAME
2204 && !SSA_NAME_IS_DEFAULT_DEF (arg))
2205 insert_out_of_ssa_copy (zero_dim_array, arg);
2206 else
2207 insert_out_of_ssa_copy_on_edge (single_pred_edge (gimple_bb (phi)),
2208 zero_dim_array, arg);
2209
2210 remove_phi_node (psi, false);
2211 gsi_insert_before (&gsi, stmt, GSI_NEW_STMT);
2212 SSA_NAME_DEF_STMT (res) = stmt;
2213 }
2214
2215 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2216 dimension array for it. */
2217
2218 static void
2219 rewrite_phi_out_of_ssa (gimple_stmt_iterator *psi)
2220 {
2221 size_t i;
2222 gimple phi = gsi_stmt (*psi);
2223 basic_block bb = gimple_bb (phi);
2224 tree res = gimple_phi_result (phi);
2225 tree var = SSA_NAME_VAR (res);
2226 tree zero_dim_array = create_zero_dim_array (var, "General_Reduction");
2227 gimple_stmt_iterator gsi;
2228 gimple stmt;
2229 gimple_seq stmts;
2230
2231 for (i = 0; i < gimple_phi_num_args (phi); i++)
2232 {
2233 tree arg = gimple_phi_arg_def (phi, i);
2234
2235 /* Try to avoid the insertion on edges as much as possible: this
2236 would avoid the insertion of code on loop latch edges, making
2237 the pattern matching of the vectorizer happy, or it would
2238 avoid the insertion of useless basic blocks. Note that it is
2239 incorrect to insert out of SSA copies close by their
2240 definition when they are more than two loop levels apart:
2241 for example, starting from a double nested loop
2242
2243 | a = ...
2244 | loop_1
2245 | loop_2
2246 | b = phi (a, c)
2247 | c = ...
2248 | end_2
2249 | end_1
2250
2251 the following transform is incorrect
2252
2253 | a = ...
2254 | Red[0] = a
2255 | loop_1
2256 | loop_2
2257 | b = Red[0]
2258 | c = ...
2259 | Red[0] = c
2260 | end_2
2261 | end_1
2262
2263 whereas inserting the copy on the incoming edge is correct
2264
2265 | a = ...
2266 | loop_1
2267 | Red[0] = a
2268 | loop_2
2269 | b = Red[0]
2270 | c = ...
2271 | Red[0] = c
2272 | end_2
2273 | end_1
2274 */
2275 if (TREE_CODE (arg) == SSA_NAME
2276 && is_gimple_reg (arg)
2277 && gimple_bb (SSA_NAME_DEF_STMT (arg))
2278 && (flow_bb_inside_loop_p (bb->loop_father,
2279 gimple_bb (SSA_NAME_DEF_STMT (arg)))
2280 || flow_bb_inside_loop_p (loop_outer (bb->loop_father),
2281 gimple_bb (SSA_NAME_DEF_STMT (arg)))))
2282 insert_out_of_ssa_copy (zero_dim_array, arg);
2283 else
2284 insert_out_of_ssa_copy_on_edge (gimple_phi_arg_edge (phi, i),
2285 zero_dim_array, arg);
2286 }
2287
2288 var = force_gimple_operand (zero_dim_array, &stmts, true, NULL_TREE);
2289
2290 if (!stmts)
2291 stmts = gimple_seq_alloc ();
2292
2293 stmt = gimple_build_assign (res, var);
2294 remove_phi_node (psi, false);
2295 SSA_NAME_DEF_STMT (res) = stmt;
2296
2297 gsi = gsi_last (stmts);
2298 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2299
2300 gsi = gsi_after_labels (bb);
2301 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2302 }
2303
2304 /* Return true when DEF can be analyzed in REGION by the scalar
2305 evolution analyzer. */
2306
2307 static bool
2308 scev_analyzable_p (tree def, sese region)
2309 {
2310 gimple stmt = SSA_NAME_DEF_STMT (def);
2311 loop_p loop = loop_containing_stmt (stmt);
2312 tree scev = scalar_evolution_in_region (region, loop, def);
2313
2314 return !chrec_contains_undetermined (scev);
2315 }
2316
2317 /* Rewrite the scalar dependence of DEF used in USE_STMT with a memory
2318 read from ZERO_DIM_ARRAY. */
2319
2320 static void
2321 rewrite_cross_bb_scalar_dependence (tree zero_dim_array, tree def, gimple use_stmt)
2322 {
2323 tree var = SSA_NAME_VAR (def);
2324 gimple name_stmt = gimple_build_assign (var, zero_dim_array);
2325 tree name = make_ssa_name (var, name_stmt);
2326 ssa_op_iter iter;
2327 use_operand_p use_p;
2328 gimple_stmt_iterator gsi;
2329
2330 gcc_assert (gimple_code (use_stmt) != GIMPLE_PHI);
2331
2332 gimple_assign_set_lhs (name_stmt, name);
2333
2334 gsi = gsi_for_stmt (use_stmt);
2335 gsi_insert_before (&gsi, name_stmt, GSI_NEW_STMT);
2336
2337 FOR_EACH_SSA_USE_OPERAND (use_p, use_stmt, iter, SSA_OP_ALL_USES)
2338 if (operand_equal_p (def, USE_FROM_PTR (use_p), 0))
2339 replace_exp (use_p, name);
2340
2341 update_stmt (use_stmt);
2342 }
2343
2344 /* Rewrite the scalar dependences crossing the boundary of the BB
2345 containing STMT with an array. */
2346
2347 static void
2348 rewrite_cross_bb_scalar_deps (sese region, gimple_stmt_iterator *gsi)
2349 {
2350 gimple stmt = gsi_stmt (*gsi);
2351 imm_use_iterator imm_iter;
2352 tree def;
2353 basic_block def_bb;
2354 tree zero_dim_array = NULL_TREE;
2355 gimple use_stmt;
2356
2357 if (gimple_code (stmt) != GIMPLE_ASSIGN)
2358 return;
2359
2360 def = gimple_assign_lhs (stmt);
2361 if (!is_gimple_reg (def)
2362 || scev_analyzable_p (def, region))
2363 return;
2364
2365 def_bb = gimple_bb (stmt);
2366
2367 FOR_EACH_IMM_USE_STMT (use_stmt, imm_iter, def)
2368 if (def_bb != gimple_bb (use_stmt)
2369 && gimple_code (use_stmt) != GIMPLE_PHI)
2370 {
2371 if (!zero_dim_array)
2372 {
2373 zero_dim_array = create_zero_dim_array
2374 (SSA_NAME_VAR (def), "Cross_BB_scalar_dependence");
2375 insert_out_of_ssa_copy (zero_dim_array, def);
2376 gsi_next (gsi);
2377 }
2378
2379 rewrite_cross_bb_scalar_dependence (zero_dim_array, def, use_stmt);
2380 }
2381 }
2382
2383 /* Rewrite out of SSA all the reduction phi nodes of SCOP. */
2384
2385 static void
2386 rewrite_reductions_out_of_ssa (scop_p scop)
2387 {
2388 basic_block bb;
2389 gimple_stmt_iterator psi;
2390 sese region = SCOP_REGION (scop);
2391
2392 FOR_EACH_BB (bb)
2393 if (bb_in_sese_p (bb, region))
2394 for (psi = gsi_start_phis (bb); !gsi_end_p (psi);)
2395 {
2396 if (scalar_close_phi_node_p (gsi_stmt (psi)))
2397 rewrite_close_phi_out_of_ssa (&psi);
2398 else if (reduction_phi_p (region, &psi))
2399 rewrite_phi_out_of_ssa (&psi);
2400 }
2401
2402 update_ssa (TODO_update_ssa);
2403 #ifdef ENABLE_CHECKING
2404 verify_ssa (false);
2405 verify_loop_closed_ssa ();
2406 #endif
2407
2408 FOR_EACH_BB (bb)
2409 if (bb_in_sese_p (bb, region))
2410 for (psi = gsi_start_bb (bb); !gsi_end_p (psi); gsi_next (&psi))
2411 rewrite_cross_bb_scalar_deps (region, &psi);
2412
2413 update_ssa (TODO_update_ssa);
2414 #ifdef ENABLE_CHECKING
2415 verify_ssa (false);
2416 verify_loop_closed_ssa ();
2417 #endif
2418 }
2419
2420 /* Returns the number of pbbs that are in loops contained in SCOP. */
2421
2422 static int
2423 nb_pbbs_in_loops (scop_p scop)
2424 {
2425 int i;
2426 poly_bb_p pbb;
2427 int res = 0;
2428
2429 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2430 if (loop_in_sese_p (gbb_loop (PBB_BLACK_BOX (pbb)), SCOP_REGION (scop)))
2431 res++;
2432
2433 return res;
2434 }
2435
2436 /* Return the number of data references in BB that write in
2437 memory. */
2438
2439 static int
2440 nb_data_writes_in_bb (basic_block bb)
2441 {
2442 int res = 0;
2443 gimple_stmt_iterator gsi;
2444
2445 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
2446 if (gimple_vdef (gsi_stmt (gsi)))
2447 res++;
2448
2449 return res;
2450 }
2451
2452 /* Splits STMT out of its current BB. */
2453
2454 static basic_block
2455 split_reduction_stmt (gimple stmt)
2456 {
2457 gimple_stmt_iterator gsi;
2458 basic_block bb = gimple_bb (stmt);
2459 edge e;
2460
2461 /* Do not split basic blocks with no writes to memory: the reduction
2462 will be the only write to memory. */
2463 if (nb_data_writes_in_bb (bb) == 0)
2464 return bb;
2465
2466 split_block (bb, stmt);
2467
2468 if (gsi_one_before_end_p (gsi_start_bb (bb)))
2469 return bb;
2470
2471 gsi = gsi_last_bb (bb);
2472 gsi_prev (&gsi);
2473 e = split_block (bb, gsi_stmt (gsi));
2474
2475 return e->dest;
2476 }
2477
2478 /* Return true when stmt is a reduction operation. */
2479
2480 static inline bool
2481 is_reduction_operation_p (gimple stmt)
2482 {
2483 enum tree_code code;
2484
2485 gcc_assert (is_gimple_assign (stmt));
2486 code = gimple_assign_rhs_code (stmt);
2487
2488 return flag_associative_math
2489 && commutative_tree_code (code)
2490 && associative_tree_code (code);
2491 }
2492
2493 /* Returns true when PHI contains an argument ARG. */
2494
2495 static bool
2496 phi_contains_arg (gimple phi, tree arg)
2497 {
2498 size_t i;
2499
2500 for (i = 0; i < gimple_phi_num_args (phi); i++)
2501 if (operand_equal_p (arg, gimple_phi_arg_def (phi, i), 0))
2502 return true;
2503
2504 return false;
2505 }
2506
2507 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2508
2509 static gimple
2510 follow_ssa_with_commutative_ops (tree arg, tree lhs)
2511 {
2512 gimple stmt;
2513
2514 if (TREE_CODE (arg) != SSA_NAME)
2515 return NULL;
2516
2517 stmt = SSA_NAME_DEF_STMT (arg);
2518
2519 if (gimple_code (stmt) == GIMPLE_NOP
2520 || gimple_code (stmt) == GIMPLE_CALL)
2521 return NULL;
2522
2523 if (gimple_code (stmt) == GIMPLE_PHI)
2524 {
2525 if (phi_contains_arg (stmt, lhs))
2526 return stmt;
2527 return NULL;
2528 }
2529
2530 if (!is_gimple_assign (stmt))
2531 return NULL;
2532
2533 if (gimple_num_ops (stmt) == 2)
2534 return follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2535
2536 if (is_reduction_operation_p (stmt))
2537 {
2538 gimple res = follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2539
2540 return res ? res :
2541 follow_ssa_with_commutative_ops (gimple_assign_rhs2 (stmt), lhs);
2542 }
2543
2544 return NULL;
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_arg (tree lhs, gimple stmt, tree arg,
2552 VEC (gimple, heap) **in,
2553 VEC (gimple, heap) **out)
2554 {
2555 gimple phi = follow_ssa_with_commutative_ops (arg, lhs);
2556
2557 if (!phi)
2558 return NULL;
2559
2560 VEC_safe_push (gimple, heap, *in, stmt);
2561 VEC_safe_push (gimple, heap, *out, stmt);
2562 return phi;
2563 }
2564
2565 /* Detect commutative and associative scalar reductions starting at
2566 the STMT. Return the phi node of the reduction cycle, or NULL. */
2567
2568 static gimple
2569 detect_commutative_reduction_assign (gimple stmt, VEC (gimple, heap) **in,
2570 VEC (gimple, heap) **out)
2571 {
2572 tree lhs = gimple_assign_lhs (stmt);
2573
2574 if (gimple_num_ops (stmt) == 2)
2575 return detect_commutative_reduction_arg (lhs, stmt,
2576 gimple_assign_rhs1 (stmt),
2577 in, out);
2578
2579 if (is_reduction_operation_p (stmt))
2580 {
2581 gimple res = detect_commutative_reduction_arg (lhs, stmt,
2582 gimple_assign_rhs1 (stmt),
2583 in, out);
2584 return res ? res
2585 : detect_commutative_reduction_arg (lhs, stmt,
2586 gimple_assign_rhs2 (stmt),
2587 in, out);
2588 }
2589
2590 return NULL;
2591 }
2592
2593 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2594
2595 static gimple
2596 follow_inital_value_to_phi (tree arg, tree lhs)
2597 {
2598 gimple stmt;
2599
2600 if (!arg || TREE_CODE (arg) != SSA_NAME)
2601 return NULL;
2602
2603 stmt = SSA_NAME_DEF_STMT (arg);
2604
2605 if (gimple_code (stmt) == GIMPLE_PHI
2606 && phi_contains_arg (stmt, lhs))
2607 return stmt;
2608
2609 return NULL;
2610 }
2611
2612
2613 /* Return the argument of the loop PHI that is the inital value coming
2614 from outside the loop. */
2615
2616 static edge
2617 edge_initial_value_for_loop_phi (gimple phi)
2618 {
2619 size_t i;
2620
2621 for (i = 0; i < gimple_phi_num_args (phi); i++)
2622 {
2623 edge e = gimple_phi_arg_edge (phi, i);
2624
2625 if (loop_depth (e->src->loop_father)
2626 < loop_depth (e->dest->loop_father))
2627 return e;
2628 }
2629
2630 return NULL;
2631 }
2632
2633 /* Return the argument of the loop PHI that is the inital value coming
2634 from outside the loop. */
2635
2636 static tree
2637 initial_value_for_loop_phi (gimple phi)
2638 {
2639 size_t i;
2640
2641 for (i = 0; i < gimple_phi_num_args (phi); i++)
2642 {
2643 edge e = gimple_phi_arg_edge (phi, i);
2644
2645 if (loop_depth (e->src->loop_father)
2646 < loop_depth (e->dest->loop_father))
2647 return gimple_phi_arg_def (phi, i);
2648 }
2649
2650 return NULL_TREE;
2651 }
2652
2653 /* Detect commutative and associative scalar reductions starting at
2654 the loop closed phi node CLOSE_PHI. Return the phi node of the
2655 reduction cycle, or NULL. */
2656
2657 static gimple
2658 detect_commutative_reduction (gimple stmt, VEC (gimple, heap) **in,
2659 VEC (gimple, heap) **out)
2660 {
2661 if (scalar_close_phi_node_p (stmt))
2662 {
2663 tree arg = gimple_phi_arg_def (stmt, 0);
2664 gimple def, loop_phi;
2665
2666 if (TREE_CODE (arg) != SSA_NAME)
2667 return NULL;
2668
2669 def = SSA_NAME_DEF_STMT (arg);
2670 loop_phi = detect_commutative_reduction (def, in, out);
2671
2672 if (loop_phi)
2673 {
2674 tree lhs = gimple_phi_result (stmt);
2675 tree init = initial_value_for_loop_phi (loop_phi);
2676 gimple phi = follow_inital_value_to_phi (init, lhs);
2677
2678 VEC_safe_push (gimple, heap, *in, loop_phi);
2679 VEC_safe_push (gimple, heap, *out, stmt);
2680 return phi;
2681 }
2682 else
2683 return NULL;
2684 }
2685
2686 if (gimple_code (stmt) == GIMPLE_ASSIGN)
2687 return detect_commutative_reduction_assign (stmt, in, out);
2688
2689 return NULL;
2690 }
2691
2692 /* Translate the scalar reduction statement STMT to an array RED
2693 knowing that its recursive phi node is LOOP_PHI. */
2694
2695 static void
2696 translate_scalar_reduction_to_array_for_stmt (tree red, gimple stmt,
2697 gimple loop_phi)
2698 {
2699 gimple_stmt_iterator insert_gsi = gsi_after_labels (gimple_bb (loop_phi));
2700 tree res = gimple_phi_result (loop_phi);
2701 gimple assign = gimple_build_assign (res, red);
2702
2703 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2704
2705 insert_gsi = gsi_after_labels (gimple_bb (stmt));
2706 assign = gimple_build_assign (red, gimple_assign_lhs (stmt));
2707 insert_gsi = gsi_for_stmt (stmt);
2708 gsi_insert_after (&insert_gsi, assign, GSI_SAME_STMT);
2709 }
2710
2711 /* Insert the assignment "result (CLOSE_PHI) = RED". */
2712
2713 static void
2714 insert_copyout (tree red, gimple close_phi)
2715 {
2716 tree res = gimple_phi_result (close_phi);
2717 basic_block bb = gimple_bb (close_phi);
2718 gimple_stmt_iterator insert_gsi = gsi_after_labels (bb);
2719 gimple assign = gimple_build_assign (res, red);
2720
2721 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2722 }
2723
2724 /* Insert the assignment "RED = initial_value (LOOP_PHI)". */
2725
2726 static void
2727 insert_copyin (tree red, gimple loop_phi)
2728 {
2729 gimple_seq stmts;
2730 tree init = initial_value_for_loop_phi (loop_phi);
2731 tree expr = build2 (MODIFY_EXPR, TREE_TYPE (init), red, init);
2732
2733 force_gimple_operand (expr, &stmts, true, NULL);
2734 gsi_insert_seq_on_edge (edge_initial_value_for_loop_phi (loop_phi), stmts);
2735 }
2736
2737 /* Removes the PHI node and resets all the debug stmts that are using
2738 the PHI_RESULT. */
2739
2740 static void
2741 remove_phi (gimple phi)
2742 {
2743 imm_use_iterator imm_iter;
2744 tree def;
2745 use_operand_p use_p;
2746 gimple_stmt_iterator gsi;
2747 VEC (gimple, heap) *update = VEC_alloc (gimple, heap, 3);
2748 unsigned int i;
2749 gimple stmt;
2750
2751 def = PHI_RESULT (phi);
2752 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, def)
2753 {
2754 stmt = USE_STMT (use_p);
2755
2756 if (is_gimple_debug (stmt))
2757 {
2758 gimple_debug_bind_reset_value (stmt);
2759 VEC_safe_push (gimple, heap, update, stmt);
2760 }
2761 }
2762
2763 for (i = 0; VEC_iterate (gimple, update, i, stmt); i++)
2764 update_stmt (stmt);
2765
2766 VEC_free (gimple, heap, update);
2767
2768 gsi = gsi_for_phi_node (phi);
2769 remove_phi_node (&gsi, false);
2770 }
2771
2772 /* Rewrite out of SSA the reduction described by the loop phi nodes
2773 IN, and the close phi nodes OUT. IN and OUT are structured by loop
2774 levels like this:
2775
2776 IN: stmt, loop_n, ..., loop_0
2777 OUT: stmt, close_n, ..., close_0
2778
2779 the first element is the reduction statement, and the next elements
2780 are the loop and close phi nodes of each of the outer loops. */
2781
2782 static void
2783 translate_scalar_reduction_to_array (VEC (gimple, heap) *in,
2784 VEC (gimple, heap) *out,
2785 sbitmap reductions)
2786 {
2787 unsigned int i;
2788 gimple loop_phi;
2789 tree red;
2790
2791 for (i = 0; VEC_iterate (gimple, in, i, loop_phi); i++)
2792 {
2793 gimple close_phi = VEC_index (gimple, out, i);
2794
2795 if (i == 0)
2796 {
2797 gimple stmt = loop_phi;
2798 basic_block bb = split_reduction_stmt (stmt);
2799
2800 SET_BIT (reductions, bb->index);
2801 gcc_assert (close_phi == loop_phi);
2802
2803 red = create_zero_dim_array
2804 (gimple_assign_lhs (stmt), "Commutative_Associative_Reduction");
2805 translate_scalar_reduction_to_array_for_stmt
2806 (red, stmt, VEC_index (gimple, in, 1));
2807 continue;
2808 }
2809
2810 if (i == VEC_length (gimple, in) - 1)
2811 {
2812 insert_copyout (red, close_phi);
2813 insert_copyin (red, loop_phi);
2814 }
2815
2816 remove_phi (loop_phi);
2817 remove_phi (close_phi);
2818 }
2819 }
2820
2821 /* Rewrites out of SSA a commutative reduction at CLOSE_PHI. */
2822
2823 static void
2824 rewrite_commutative_reductions_out_of_ssa_close_phi (gimple close_phi,
2825 sbitmap reductions)
2826 {
2827 VEC (gimple, heap) *in = VEC_alloc (gimple, heap, 10);
2828 VEC (gimple, heap) *out = VEC_alloc (gimple, heap, 10);
2829
2830 detect_commutative_reduction (close_phi, &in, &out);
2831 if (VEC_length (gimple, in) > 0)
2832 translate_scalar_reduction_to_array (in, out, reductions);
2833
2834 VEC_free (gimple, heap, in);
2835 VEC_free (gimple, heap, out);
2836 }
2837
2838 /* Rewrites all the commutative reductions from LOOP out of SSA. */
2839
2840 static void
2841 rewrite_commutative_reductions_out_of_ssa_loop (loop_p loop,
2842 sbitmap reductions)
2843 {
2844 gimple_stmt_iterator gsi;
2845 edge exit = single_exit (loop);
2846
2847 if (!exit)
2848 return;
2849
2850 for (gsi = gsi_start_phis (exit->dest); !gsi_end_p (gsi); gsi_next (&gsi))
2851 rewrite_commutative_reductions_out_of_ssa_close_phi (gsi_stmt (gsi),
2852 reductions);
2853 }
2854
2855 /* Rewrites all the commutative reductions from SCOP out of SSA. */
2856
2857 static void
2858 rewrite_commutative_reductions_out_of_ssa (sese region, sbitmap reductions)
2859 {
2860 loop_iterator li;
2861 loop_p loop;
2862
2863 FOR_EACH_LOOP (li, loop, 0)
2864 if (loop_in_sese_p (loop, region))
2865 rewrite_commutative_reductions_out_of_ssa_loop (loop, reductions);
2866
2867 gsi_commit_edge_inserts ();
2868 update_ssa (TODO_update_ssa);
2869 #ifdef ENABLE_CHECKING
2870 verify_ssa (false);
2871 verify_loop_closed_ssa ();
2872 #endif
2873 }
2874
2875 /* A LOOP is in normal form for Graphite when it contains only one
2876 scalar phi node that defines the main induction variable of the
2877 loop, only one increment of the IV, and only one exit condition. */
2878
2879 static void
2880 graphite_loop_normal_form (loop_p loop)
2881 {
2882 struct tree_niter_desc niter;
2883 tree nit;
2884 gimple_seq stmts;
2885 edge exit = single_dom_exit (loop);
2886
2887 bool known_niter = number_of_iterations_exit (loop, exit, &niter, false);
2888
2889 /* At this point we should know the number of iterations, */
2890 gcc_assert (known_niter);
2891
2892 nit = force_gimple_operand (unshare_expr (niter.niter), &stmts, true,
2893 NULL_TREE);
2894 if (stmts)
2895 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
2896
2897 loop->single_iv = canonicalize_loop_ivs (loop, &nit);
2898 }
2899
2900 /* Rewrite all the loops of SCOP in normal form: one induction
2901 variable per loop. */
2902
2903 static void
2904 scop_canonicalize_loops (scop_p scop)
2905 {
2906 loop_iterator li;
2907 loop_p loop;
2908
2909 FOR_EACH_LOOP (li, loop, 0)
2910 if (loop_in_sese_p (loop, SCOP_REGION (scop)))
2911 graphite_loop_normal_form (loop);
2912 }
2913
2914 /* Java does not initialize long_long_integer_type_node. */
2915 #define my_long_long (long_long_integer_type_node ? long_long_integer_type_node : ssizetype)
2916
2917 /* Can all ivs be represented by a signed integer?
2918 As CLooG might generate negative values in its expressions, signed loop ivs
2919 are required in the backend. */
2920 static bool
2921 scop_ivs_can_be_represented (scop_p scop)
2922 {
2923 loop_iterator li;
2924 loop_p loop;
2925
2926 FOR_EACH_LOOP (li, loop, 0)
2927 {
2928 tree type;
2929 int precision;
2930
2931 if (!loop_in_sese_p (loop, SCOP_REGION (scop)))
2932 continue;
2933
2934 if (!loop->single_iv)
2935 continue;
2936
2937 type = TREE_TYPE(loop->single_iv);
2938 precision = TYPE_PRECISION (type);
2939
2940 if (TYPE_UNSIGNED (type)
2941 && precision >= TYPE_PRECISION (my_long_long))
2942 return false;
2943 }
2944
2945 return true;
2946 }
2947
2948 #undef my_long_long
2949
2950 /* Builds the polyhedral representation for a SESE region. */
2951
2952 void
2953 build_poly_scop (scop_p scop)
2954 {
2955 sese region = SCOP_REGION (scop);
2956 sbitmap reductions = sbitmap_alloc (last_basic_block * 2);
2957 graphite_dim_t max_dim;
2958
2959 sbitmap_zero (reductions);
2960 rewrite_commutative_reductions_out_of_ssa (region, reductions);
2961 rewrite_reductions_out_of_ssa (scop);
2962 build_scop_bbs (scop, reductions);
2963 sbitmap_free (reductions);
2964
2965 /* FIXME: This restriction is needed to avoid a problem in CLooG.
2966 Once CLooG is fixed, remove this guard. Anyways, it makes no
2967 sense to optimize a scop containing only PBBs that do not belong
2968 to any loops. */
2969 if (nb_pbbs_in_loops (scop) == 0)
2970 return;
2971
2972 scop_canonicalize_loops (scop);
2973 if (!scop_ivs_can_be_represented (scop))
2974 return;
2975
2976 build_sese_loop_nests (region);
2977 build_sese_conditions (region);
2978 find_scop_parameters (scop);
2979
2980 max_dim = PARAM_VALUE (PARAM_GRAPHITE_MAX_NB_SCOP_PARAMS);
2981 if (scop_nb_params (scop) > max_dim)
2982 return;
2983
2984 build_scop_iteration_domain (scop);
2985 build_scop_context (scop);
2986
2987 add_conditions_to_constraints (scop);
2988 scop_to_lst (scop);
2989 build_scop_scattering (scop);
2990 build_scop_drs (scop);
2991
2992 /* This SCoP has been translated to the polyhedral
2993 representation. */
2994 POLY_SCOP_P (scop) = true;
2995 }
2996
2997 /* Always return false. Exercise the scop_to_clast function. */
2998
2999 void
3000 check_poly_representation (scop_p scop ATTRIBUTE_UNUSED)
3001 {
3002 #ifdef ENABLE_CHECKING
3003 cloog_prog_clast pc = scop_to_clast (scop);
3004 cloog_clast_free (pc.stmt);
3005 cloog_program_free (pc.prog);
3006 #endif
3007 }
3008 #endif