Fix comments and indentation.
[gcc.git] / gcc / graphite-sese-to-poly.c
1 /* Conversion of SESE regions to Polyhedra.
2 Copyright (C) 2009, 2010 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
284 return gbb;
285 }
286
287 static void
288 free_data_refs_aux (VEC (data_reference_p, heap) *datarefs)
289 {
290 unsigned int i;
291 struct data_reference *dr;
292
293 for (i = 0; VEC_iterate (data_reference_p, datarefs, i, dr); i++)
294 if (dr->aux)
295 {
296 base_alias_pair *bap = (base_alias_pair *)(dr->aux);
297
298 if (bap->alias_set)
299 free (bap->alias_set);
300
301 free (bap);
302 dr->aux = NULL;
303 }
304 }
305 /* Frees GBB. */
306
307 static void
308 free_gimple_bb (struct gimple_bb *gbb)
309 {
310 free_data_refs_aux (GBB_DATA_REFS (gbb));
311 free_data_refs (GBB_DATA_REFS (gbb));
312
313 VEC_free (gimple, heap, GBB_CONDITIONS (gbb));
314 VEC_free (gimple, heap, GBB_CONDITION_CASES (gbb));
315 GBB_BB (gbb)->aux = 0;
316 XDELETE (gbb);
317 }
318
319 /* Deletes all gimple bbs in SCOP. */
320
321 static void
322 remove_gbbs_in_scop (scop_p scop)
323 {
324 int i;
325 poly_bb_p pbb;
326
327 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
328 free_gimple_bb (PBB_BLACK_BOX (pbb));
329 }
330
331 /* Deletes all scops in SCOPS. */
332
333 void
334 free_scops (VEC (scop_p, heap) *scops)
335 {
336 int i;
337 scop_p scop;
338
339 for (i = 0; VEC_iterate (scop_p, scops, i, scop); i++)
340 {
341 remove_gbbs_in_scop (scop);
342 free_sese (SCOP_REGION (scop));
343 free_scop (scop);
344 }
345
346 VEC_free (scop_p, heap, scops);
347 }
348
349 /* Generates a polyhedral black box only if the bb contains interesting
350 information. */
351
352 static void
353 try_generate_gimple_bb (scop_p scop, basic_block bb, sbitmap reductions)
354 {
355 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 5);
356 loop_p nest = outermost_loop_in_sese (SCOP_REGION (scop), bb);
357 gimple_stmt_iterator gsi;
358
359 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
360 {
361 gimple stmt = gsi_stmt (gsi);
362 if (!is_gimple_debug (stmt))
363 graphite_find_data_references_in_stmt (nest, stmt, &drs);
364 }
365
366 if (!graphite_stmt_p (SCOP_REGION (scop), bb, drs))
367 free_data_refs (drs);
368 else
369 new_poly_bb (scop, new_gimple_bb (bb, drs), TEST_BIT (reductions,
370 bb->index));
371 }
372
373 /* Returns true if all predecessors of BB, that are not dominated by BB, are
374 marked in MAP. The predecessors dominated by BB are loop latches and will
375 be handled after BB. */
376
377 static bool
378 all_non_dominated_preds_marked_p (basic_block bb, sbitmap map)
379 {
380 edge e;
381 edge_iterator ei;
382
383 FOR_EACH_EDGE (e, ei, bb->preds)
384 if (!TEST_BIT (map, e->src->index)
385 && !dominated_by_p (CDI_DOMINATORS, e->src, bb))
386 return false;
387
388 return true;
389 }
390
391 /* Compare the depth of two basic_block's P1 and P2. */
392
393 static int
394 compare_bb_depths (const void *p1, const void *p2)
395 {
396 const_basic_block const bb1 = *(const_basic_block const*)p1;
397 const_basic_block const bb2 = *(const_basic_block const*)p2;
398 int d1 = loop_depth (bb1->loop_father);
399 int d2 = loop_depth (bb2->loop_father);
400
401 if (d1 < d2)
402 return 1;
403
404 if (d1 > d2)
405 return -1;
406
407 return 0;
408 }
409
410 /* Sort the basic blocks from DOM such that the first are the ones at
411 a deepest loop level. */
412
413 static void
414 graphite_sort_dominated_info (VEC (basic_block, heap) *dom)
415 {
416 size_t len = VEC_length (basic_block, dom);
417
418 qsort (VEC_address (basic_block, dom), len, sizeof (basic_block),
419 compare_bb_depths);
420 }
421
422 /* Recursive helper function for build_scops_bbs. */
423
424 static void
425 build_scop_bbs_1 (scop_p scop, sbitmap visited, basic_block bb, sbitmap reductions)
426 {
427 sese region = SCOP_REGION (scop);
428 VEC (basic_block, heap) *dom;
429
430 if (TEST_BIT (visited, bb->index)
431 || !bb_in_sese_p (bb, region))
432 return;
433
434 try_generate_gimple_bb (scop, bb, reductions);
435 SET_BIT (visited, bb->index);
436
437 dom = get_dominated_by (CDI_DOMINATORS, bb);
438
439 if (dom == NULL)
440 return;
441
442 graphite_sort_dominated_info (dom);
443
444 while (!VEC_empty (basic_block, dom))
445 {
446 int i;
447 basic_block dom_bb;
448
449 for (i = 0; VEC_iterate (basic_block, dom, i, dom_bb); i++)
450 if (all_non_dominated_preds_marked_p (dom_bb, visited))
451 {
452 build_scop_bbs_1 (scop, visited, dom_bb, reductions);
453 VEC_unordered_remove (basic_block, dom, i);
454 break;
455 }
456 }
457
458 VEC_free (basic_block, heap, dom);
459 }
460
461 /* Gather the basic blocks belonging to the SCOP. */
462
463 static void
464 build_scop_bbs (scop_p scop, sbitmap reductions)
465 {
466 sbitmap visited = sbitmap_alloc (last_basic_block);
467 sese region = SCOP_REGION (scop);
468
469 sbitmap_zero (visited);
470 build_scop_bbs_1 (scop, visited, SESE_ENTRY_BB (region), reductions);
471 sbitmap_free (visited);
472 }
473
474 /* Converts the STATIC_SCHEDULE of PBB into a scattering polyhedron.
475 We generate SCATTERING_DIMENSIONS scattering dimensions.
476
477 CLooG 0.15.0 and previous versions require, that all
478 scattering functions of one CloogProgram have the same number of
479 scattering dimensions, therefore we allow to specify it. This
480 should be removed in future versions of CLooG.
481
482 The scattering polyhedron consists of these dimensions: scattering,
483 loop_iterators, parameters.
484
485 Example:
486
487 | scattering_dimensions = 5
488 | used_scattering_dimensions = 3
489 | nb_iterators = 1
490 | scop_nb_params = 2
491 |
492 | Schedule:
493 | i
494 | 4 5
495 |
496 | Scattering polyhedron:
497 |
498 | scattering: {s1, s2, s3, s4, s5}
499 | loop_iterators: {i}
500 | parameters: {p1, p2}
501 |
502 | s1 s2 s3 s4 s5 i p1 p2 1
503 | 1 0 0 0 0 0 0 0 -4 = 0
504 | 0 1 0 0 0 -1 0 0 0 = 0
505 | 0 0 1 0 0 0 0 0 -5 = 0 */
506
507 static void
508 build_pbb_scattering_polyhedrons (ppl_Linear_Expression_t static_schedule,
509 poly_bb_p pbb, int scattering_dimensions)
510 {
511 int i;
512 scop_p scop = PBB_SCOP (pbb);
513 int nb_iterators = pbb_dim_iter_domain (pbb);
514 int used_scattering_dimensions = nb_iterators * 2 + 1;
515 int nb_params = scop_nb_params (scop);
516 ppl_Coefficient_t c;
517 ppl_dimension_type dim = scattering_dimensions + nb_iterators + nb_params;
518 mpz_t v;
519
520 gcc_assert (scattering_dimensions >= used_scattering_dimensions);
521
522 mpz_init (v);
523 ppl_new_Coefficient (&c);
524 PBB_TRANSFORMED (pbb) = poly_scattering_new ();
525 ppl_new_C_Polyhedron_from_space_dimension
526 (&PBB_TRANSFORMED_SCATTERING (pbb), dim, 0);
527
528 PBB_NB_SCATTERING_TRANSFORM (pbb) = scattering_dimensions;
529
530 for (i = 0; i < scattering_dimensions; i++)
531 {
532 ppl_Constraint_t cstr;
533 ppl_Linear_Expression_t expr;
534
535 ppl_new_Linear_Expression_with_dimension (&expr, dim);
536 mpz_set_si (v, 1);
537 ppl_assign_Coefficient_from_mpz_t (c, v);
538 ppl_Linear_Expression_add_to_coefficient (expr, i, c);
539
540 /* Textual order inside this loop. */
541 if ((i % 2) == 0)
542 {
543 ppl_Linear_Expression_coefficient (static_schedule, i / 2, c);
544 ppl_Coefficient_to_mpz_t (c, v);
545 mpz_neg (v, v);
546 ppl_assign_Coefficient_from_mpz_t (c, v);
547 ppl_Linear_Expression_add_to_inhomogeneous (expr, c);
548 }
549
550 /* Iterations of this loop. */
551 else /* if ((i % 2) == 1) */
552 {
553 int loop = (i - 1) / 2;
554
555 mpz_set_si (v, -1);
556 ppl_assign_Coefficient_from_mpz_t (c, v);
557 ppl_Linear_Expression_add_to_coefficient
558 (expr, scattering_dimensions + loop, c);
559 }
560
561 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_EQUAL);
562 ppl_Polyhedron_add_constraint (PBB_TRANSFORMED_SCATTERING (pbb), cstr);
563 ppl_delete_Linear_Expression (expr);
564 ppl_delete_Constraint (cstr);
565 }
566
567 mpz_clear (v);
568 ppl_delete_Coefficient (c);
569
570 PBB_ORIGINAL (pbb) = poly_scattering_copy (PBB_TRANSFORMED (pbb));
571 }
572
573 /* Build for BB the static schedule.
574
575 The static schedule is a Dewey numbering of the abstract syntax
576 tree: http://en.wikipedia.org/wiki/Dewey_Decimal_Classification
577
578 The following example informally defines the static schedule:
579
580 A
581 for (i: ...)
582 {
583 for (j: ...)
584 {
585 B
586 C
587 }
588
589 for (k: ...)
590 {
591 D
592 E
593 }
594 }
595 F
596
597 Static schedules for A to F:
598
599 DEPTH
600 0 1 2
601 A 0
602 B 1 0 0
603 C 1 0 1
604 D 1 1 0
605 E 1 1 1
606 F 2
607 */
608
609 static void
610 build_scop_scattering (scop_p scop)
611 {
612 int i;
613 poly_bb_p pbb;
614 gimple_bb_p previous_gbb = NULL;
615 ppl_Linear_Expression_t static_schedule;
616 ppl_Coefficient_t c;
617 mpz_t v;
618
619 mpz_init (v);
620 ppl_new_Coefficient (&c);
621 ppl_new_Linear_Expression (&static_schedule);
622
623 /* We have to start schedules at 0 on the first component and
624 because we cannot compare_prefix_loops against a previous loop,
625 prefix will be equal to zero, and that index will be
626 incremented before copying. */
627 mpz_set_si (v, -1);
628 ppl_assign_Coefficient_from_mpz_t (c, v);
629 ppl_Linear_Expression_add_to_coefficient (static_schedule, 0, c);
630
631 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
632 {
633 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
634 ppl_Linear_Expression_t common;
635 int prefix;
636 int nb_scat_dims = pbb_dim_iter_domain (pbb) * 2 + 1;
637
638 if (previous_gbb)
639 prefix = nb_common_loops (SCOP_REGION (scop), previous_gbb, gbb);
640 else
641 prefix = 0;
642
643 previous_gbb = gbb;
644 ppl_new_Linear_Expression_with_dimension (&common, prefix + 1);
645 ppl_assign_Linear_Expression_from_Linear_Expression (common,
646 static_schedule);
647
648 mpz_set_si (v, 1);
649 ppl_assign_Coefficient_from_mpz_t (c, v);
650 ppl_Linear_Expression_add_to_coefficient (common, prefix, c);
651 ppl_assign_Linear_Expression_from_Linear_Expression (static_schedule,
652 common);
653
654 build_pbb_scattering_polyhedrons (common, pbb, nb_scat_dims);
655
656 ppl_delete_Linear_Expression (common);
657 }
658
659 mpz_clear (v);
660 ppl_delete_Coefficient (c);
661 ppl_delete_Linear_Expression (static_schedule);
662 }
663
664 /* Add the value K to the dimension D of the linear expression EXPR. */
665
666 static void
667 add_value_to_dim (ppl_dimension_type d, ppl_Linear_Expression_t expr,
668 mpz_t k)
669 {
670 mpz_t val;
671 ppl_Coefficient_t coef;
672
673 ppl_new_Coefficient (&coef);
674 ppl_Linear_Expression_coefficient (expr, d, coef);
675 mpz_init (val);
676 ppl_Coefficient_to_mpz_t (coef, val);
677
678 mpz_add (val, val, k);
679
680 ppl_assign_Coefficient_from_mpz_t (coef, val);
681 ppl_Linear_Expression_add_to_coefficient (expr, d, coef);
682 mpz_clear (val);
683 ppl_delete_Coefficient (coef);
684 }
685
686 /* In the context of scop S, scan E, the right hand side of a scalar
687 evolution function in loop VAR, and translate it to a linear
688 expression EXPR. */
689
690 static void
691 scan_tree_for_params_right_scev (sese s, tree e, int var,
692 ppl_Linear_Expression_t expr)
693 {
694 if (expr)
695 {
696 loop_p loop = get_loop (var);
697 ppl_dimension_type l = sese_loop_depth (s, loop) - 1;
698 mpz_t val;
699
700 /* Scalar evolutions should happen in the sese region. */
701 gcc_assert (sese_loop_depth (s, loop) > 0);
702
703 /* We can not deal with parametric strides like:
704
705 | p = parameter;
706 |
707 | for i:
708 | a [i * p] = ... */
709 gcc_assert (TREE_CODE (e) == INTEGER_CST);
710
711 mpz_init (val);
712 mpz_set_si (val, int_cst_value (e));
713 add_value_to_dim (l, expr, val);
714 mpz_clear (val);
715 }
716 }
717
718 /* Scan the integer constant CST, and add it to the inhomogeneous part of the
719 linear expression EXPR. K is the multiplier of the constant. */
720
721 static void
722 scan_tree_for_params_int (tree cst, ppl_Linear_Expression_t expr, mpz_t k)
723 {
724 mpz_t val;
725 ppl_Coefficient_t coef;
726 int v = int_cst_value (cst);
727
728 mpz_init (val);
729 mpz_set_si (val, 0);
730
731 /* Necessary to not get "-1 = 2^n - 1". */
732 if (v < 0)
733 mpz_sub_ui (val, val, -v);
734 else
735 mpz_add_ui (val, val, v);
736
737 mpz_mul (val, val, k);
738 ppl_new_Coefficient (&coef);
739 ppl_assign_Coefficient_from_mpz_t (coef, val);
740 ppl_Linear_Expression_add_to_inhomogeneous (expr, coef);
741 mpz_clear (val);
742 ppl_delete_Coefficient (coef);
743 }
744
745 /* When parameter NAME is in REGION, returns its index in SESE_PARAMS.
746 Otherwise returns -1. */
747
748 static inline int
749 parameter_index_in_region_1 (tree name, sese region)
750 {
751 int i;
752 tree p;
753
754 gcc_assert (TREE_CODE (name) == SSA_NAME);
755
756 for (i = 0; VEC_iterate (tree, SESE_PARAMS (region), i, p); i++)
757 if (p == name)
758 return i;
759
760 return -1;
761 }
762
763 /* When the parameter NAME is in REGION, returns its index in
764 SESE_PARAMS. Otherwise this function inserts NAME in SESE_PARAMS
765 and returns the index of NAME. */
766
767 static int
768 parameter_index_in_region (tree name, sese region)
769 {
770 int i;
771
772 gcc_assert (TREE_CODE (name) == SSA_NAME);
773
774 i = parameter_index_in_region_1 (name, region);
775 if (i != -1)
776 return i;
777
778 gcc_assert (SESE_ADD_PARAMS (region));
779
780 i = VEC_length (tree, SESE_PARAMS (region));
781 VEC_safe_push (tree, heap, SESE_PARAMS (region), name);
782 return i;
783 }
784
785 /* In the context of sese S, scan the expression E and translate it to
786 a linear expression C. When parsing a symbolic multiplication, K
787 represents the constant multiplier of an expression containing
788 parameters. */
789
790 static void
791 scan_tree_for_params (sese s, tree e, ppl_Linear_Expression_t c,
792 mpz_t k)
793 {
794 if (e == chrec_dont_know)
795 return;
796
797 switch (TREE_CODE (e))
798 {
799 case POLYNOMIAL_CHREC:
800 scan_tree_for_params_right_scev (s, CHREC_RIGHT (e),
801 CHREC_VARIABLE (e), c);
802 scan_tree_for_params (s, CHREC_LEFT (e), c, k);
803 break;
804
805 case MULT_EXPR:
806 if (chrec_contains_symbols (TREE_OPERAND (e, 0)))
807 {
808 if (c)
809 {
810 mpz_t val;
811 gcc_assert (host_integerp (TREE_OPERAND (e, 1), 0));
812 mpz_init (val);
813 mpz_set_si (val, int_cst_value (TREE_OPERAND (e, 1)));
814 mpz_mul (val, val, k);
815 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, val);
816 mpz_clear (val);
817 }
818 else
819 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
820 }
821 else
822 {
823 if (c)
824 {
825 mpz_t val;
826 gcc_assert (host_integerp (TREE_OPERAND (e, 0), 0));
827 mpz_init (val);
828 mpz_set_si (val, int_cst_value (TREE_OPERAND (e, 0)));
829 mpz_mul (val, val, k);
830 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, val);
831 mpz_clear (val);
832 }
833 else
834 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
835 }
836 break;
837
838 case PLUS_EXPR:
839 case POINTER_PLUS_EXPR:
840 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
841 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
842 break;
843
844 case MINUS_EXPR:
845 {
846 ppl_Linear_Expression_t tmp_expr = NULL;
847
848 if (c)
849 {
850 ppl_dimension_type dim;
851 ppl_Linear_Expression_space_dimension (c, &dim);
852 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
853 }
854
855 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
856 scan_tree_for_params (s, TREE_OPERAND (e, 1), tmp_expr, k);
857
858 if (c)
859 {
860 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
861 tmp_expr);
862 ppl_delete_Linear_Expression (tmp_expr);
863 }
864
865 break;
866 }
867
868 case NEGATE_EXPR:
869 {
870 ppl_Linear_Expression_t tmp_expr = NULL;
871
872 if (c)
873 {
874 ppl_dimension_type dim;
875 ppl_Linear_Expression_space_dimension (c, &dim);
876 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
877 }
878
879 scan_tree_for_params (s, TREE_OPERAND (e, 0), tmp_expr, k);
880
881 if (c)
882 {
883 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
884 tmp_expr);
885 ppl_delete_Linear_Expression (tmp_expr);
886 }
887
888 break;
889 }
890
891 case BIT_NOT_EXPR:
892 {
893 ppl_Linear_Expression_t tmp_expr = NULL;
894
895 if (c)
896 {
897 ppl_dimension_type dim;
898 ppl_Linear_Expression_space_dimension (c, &dim);
899 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
900 }
901
902 scan_tree_for_params (s, TREE_OPERAND (e, 0), tmp_expr, k);
903
904 if (c)
905 {
906 ppl_Coefficient_t coef;
907 mpz_t minus_one;
908
909 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
910 tmp_expr);
911 ppl_delete_Linear_Expression (tmp_expr);
912 mpz_init (minus_one);
913 mpz_set_si (minus_one, -1);
914 ppl_new_Coefficient_from_mpz_t (&coef, minus_one);
915 ppl_Linear_Expression_add_to_inhomogeneous (c, coef);
916 mpz_clear (minus_one);
917 ppl_delete_Coefficient (coef);
918 }
919
920 break;
921 }
922
923 case SSA_NAME:
924 {
925 ppl_dimension_type p = parameter_index_in_region (e, s);
926
927 if (c)
928 {
929 ppl_dimension_type dim;
930 ppl_Linear_Expression_space_dimension (c, &dim);
931 p += dim - sese_nb_params (s);
932 add_value_to_dim (p, c, k);
933 }
934 break;
935 }
936
937 case INTEGER_CST:
938 if (c)
939 scan_tree_for_params_int (e, c, k);
940 break;
941
942 CASE_CONVERT:
943 case NON_LVALUE_EXPR:
944 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
945 break;
946
947 default:
948 gcc_unreachable ();
949 break;
950 }
951 }
952
953 /* Find parameters with respect to REGION in BB. We are looking in memory
954 access functions, conditions and loop bounds. */
955
956 static void
957 find_params_in_bb (sese region, gimple_bb_p gbb)
958 {
959 int i;
960 unsigned j;
961 data_reference_p dr;
962 gimple stmt;
963 loop_p loop = GBB_BB (gbb)->loop_father;
964 mpz_t one;
965
966 mpz_init (one);
967 mpz_set_si (one, 1);
968
969 /* Find parameters in the access functions of data references. */
970 for (i = 0; VEC_iterate (data_reference_p, GBB_DATA_REFS (gbb), i, dr); i++)
971 for (j = 0; j < DR_NUM_DIMENSIONS (dr); j++)
972 scan_tree_for_params (region, DR_ACCESS_FN (dr, j), NULL, one);
973
974 /* Find parameters in conditional statements. */
975 for (i = 0; VEC_iterate (gimple, GBB_CONDITIONS (gbb), i, stmt); i++)
976 {
977 tree lhs = scalar_evolution_in_region (region, loop,
978 gimple_cond_lhs (stmt));
979 tree rhs = scalar_evolution_in_region (region, loop,
980 gimple_cond_rhs (stmt));
981
982 scan_tree_for_params (region, lhs, NULL, one);
983 scan_tree_for_params (region, rhs, NULL, one);
984 }
985
986 mpz_clear (one);
987 }
988
989 /* Record the parameters used in the SCOP. A variable is a parameter
990 in a scop if it does not vary during the execution of that scop. */
991
992 static void
993 find_scop_parameters (scop_p scop)
994 {
995 poly_bb_p pbb;
996 unsigned i;
997 sese region = SCOP_REGION (scop);
998 struct loop *loop;
999 mpz_t one;
1000
1001 mpz_init (one);
1002 mpz_set_si (one, 1);
1003
1004 /* Find the parameters used in the loop bounds. */
1005 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1006 {
1007 tree nb_iters = number_of_latch_executions (loop);
1008
1009 if (!chrec_contains_symbols (nb_iters))
1010 continue;
1011
1012 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1013 scan_tree_for_params (region, nb_iters, NULL, one);
1014 }
1015
1016 mpz_clear (one);
1017
1018 /* Find the parameters used in data accesses. */
1019 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1020 find_params_in_bb (region, PBB_BLACK_BOX (pbb));
1021
1022 scop_set_nb_params (scop, sese_nb_params (region));
1023 SESE_ADD_PARAMS (region) = false;
1024
1025 ppl_new_Pointset_Powerset_C_Polyhedron_from_space_dimension
1026 (&SCOP_CONTEXT (scop), scop_nb_params (scop), 0);
1027 }
1028
1029 /* Returns a gimple_bb from BB. */
1030
1031 static inline gimple_bb_p
1032 gbb_from_bb (basic_block bb)
1033 {
1034 return (gimple_bb_p) bb->aux;
1035 }
1036
1037 /* Insert in the SCOP context constraints from the estimation of the
1038 number of iterations. UB_EXPR is a linear expression describing
1039 the number of iterations in a loop. This expression is bounded by
1040 the estimation NIT. */
1041
1042 static void
1043 add_upper_bounds_from_estimated_nit (scop_p scop, double_int nit,
1044 ppl_dimension_type dim,
1045 ppl_Linear_Expression_t ub_expr)
1046 {
1047 mpz_t val;
1048 ppl_Linear_Expression_t nb_iters_le;
1049 ppl_Polyhedron_t pol;
1050 ppl_Coefficient_t coef;
1051 ppl_Constraint_t ub;
1052
1053 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1054 ppl_new_C_Polyhedron_from_space_dimension (&pol, dim, 0);
1055 ppl_new_Linear_Expression_from_Linear_Expression (&nb_iters_le,
1056 ub_expr);
1057
1058 /* Construct the negated number of last iteration in VAL. */
1059 mpz_init (val);
1060 mpz_set_double_int (val, nit, false);
1061 mpz_sub_ui (val, val, 1);
1062 mpz_neg (val, val);
1063
1064 /* NB_ITERS_LE holds the number of last iteration in
1065 parametrical form. Subtract estimated number of last
1066 iteration and assert that result is not positive. */
1067 ppl_new_Coefficient_from_mpz_t (&coef, val);
1068 ppl_Linear_Expression_add_to_inhomogeneous (nb_iters_le, coef);
1069 ppl_delete_Coefficient (coef);
1070 ppl_new_Constraint (&ub, nb_iters_le,
1071 PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1072 ppl_Polyhedron_add_constraint (pol, ub);
1073
1074 /* Remove all but last GDIM dimensions from POL to obtain
1075 only the constraints on the parameters. */
1076 {
1077 graphite_dim_t gdim = scop_nb_params (scop);
1078 ppl_dimension_type *dims = XNEWVEC (ppl_dimension_type, dim - gdim);
1079 graphite_dim_t i;
1080
1081 for (i = 0; i < dim - gdim; i++)
1082 dims[i] = i;
1083
1084 ppl_Polyhedron_remove_space_dimensions (pol, dims, dim - gdim);
1085 XDELETEVEC (dims);
1086 }
1087
1088 /* Add the constraints on the parameters to the SCoP context. */
1089 {
1090 ppl_Pointset_Powerset_C_Polyhedron_t constraints_ps;
1091
1092 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1093 (&constraints_ps, pol);
1094 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1095 (SCOP_CONTEXT (scop), constraints_ps);
1096 ppl_delete_Pointset_Powerset_C_Polyhedron (constraints_ps);
1097 }
1098
1099 ppl_delete_Polyhedron (pol);
1100 ppl_delete_Linear_Expression (nb_iters_le);
1101 ppl_delete_Constraint (ub);
1102 mpz_clear (val);
1103 }
1104
1105 /* Builds the constraint polyhedra for LOOP in SCOP. OUTER_PH gives
1106 the constraints for the surrounding loops. */
1107
1108 static void
1109 build_loop_iteration_domains (scop_p scop, struct loop *loop,
1110 ppl_Polyhedron_t outer_ph, int nb,
1111 ppl_Pointset_Powerset_C_Polyhedron_t *domains)
1112 {
1113 int i;
1114 ppl_Polyhedron_t ph;
1115 tree nb_iters = number_of_latch_executions (loop);
1116 ppl_dimension_type dim = nb + 1 + scop_nb_params (scop);
1117 sese region = SCOP_REGION (scop);
1118
1119 {
1120 ppl_const_Constraint_System_t pcs;
1121 ppl_dimension_type *map
1122 = (ppl_dimension_type *) XNEWVEC (ppl_dimension_type, dim);
1123
1124 ppl_new_C_Polyhedron_from_space_dimension (&ph, dim, 0);
1125 ppl_Polyhedron_get_constraints (outer_ph, &pcs);
1126 ppl_Polyhedron_add_constraints (ph, pcs);
1127
1128 for (i = 0; i < (int) nb; i++)
1129 map[i] = i;
1130 for (i = (int) nb; i < (int) dim - 1; i++)
1131 map[i] = i + 1;
1132 map[dim - 1] = nb;
1133
1134 ppl_Polyhedron_map_space_dimensions (ph, map, dim);
1135 free (map);
1136 }
1137
1138 /* 0 <= loop_i */
1139 {
1140 ppl_Constraint_t lb;
1141 ppl_Linear_Expression_t lb_expr;
1142
1143 ppl_new_Linear_Expression_with_dimension (&lb_expr, dim);
1144 ppl_set_coef (lb_expr, nb, 1);
1145 ppl_new_Constraint (&lb, lb_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1146 ppl_delete_Linear_Expression (lb_expr);
1147 ppl_Polyhedron_add_constraint (ph, lb);
1148 ppl_delete_Constraint (lb);
1149 }
1150
1151 if (TREE_CODE (nb_iters) == INTEGER_CST)
1152 {
1153 ppl_Constraint_t ub;
1154 ppl_Linear_Expression_t ub_expr;
1155
1156 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1157
1158 /* loop_i <= cst_nb_iters */
1159 ppl_set_coef (ub_expr, nb, -1);
1160 ppl_set_inhomogeneous_tree (ub_expr, nb_iters);
1161 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1162 ppl_Polyhedron_add_constraint (ph, ub);
1163 ppl_delete_Linear_Expression (ub_expr);
1164 ppl_delete_Constraint (ub);
1165 }
1166 else if (!chrec_contains_undetermined (nb_iters))
1167 {
1168 mpz_t one;
1169 ppl_Constraint_t ub;
1170 ppl_Linear_Expression_t ub_expr;
1171 double_int nit;
1172
1173 mpz_init (one);
1174 mpz_set_si (one, 1);
1175 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1176 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1177 scan_tree_for_params (SCOP_REGION (scop), nb_iters, ub_expr, one);
1178 mpz_clear (one);
1179
1180 if (estimated_loop_iterations (loop, true, &nit))
1181 add_upper_bounds_from_estimated_nit (scop, nit, dim, ub_expr);
1182
1183 /* loop_i <= expr_nb_iters */
1184 ppl_set_coef (ub_expr, nb, -1);
1185 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1186 ppl_Polyhedron_add_constraint (ph, ub);
1187 ppl_delete_Linear_Expression (ub_expr);
1188 ppl_delete_Constraint (ub);
1189 }
1190 else
1191 gcc_unreachable ();
1192
1193 if (loop->inner && loop_in_sese_p (loop->inner, region))
1194 build_loop_iteration_domains (scop, loop->inner, ph, nb + 1, domains);
1195
1196 if (nb != 0
1197 && loop->next
1198 && loop_in_sese_p (loop->next, region))
1199 build_loop_iteration_domains (scop, loop->next, outer_ph, nb, domains);
1200
1201 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1202 (&domains[loop->num], ph);
1203
1204 ppl_delete_Polyhedron (ph);
1205 }
1206
1207 /* Returns a linear expression for tree T evaluated in PBB. */
1208
1209 static ppl_Linear_Expression_t
1210 create_linear_expr_from_tree (poly_bb_p pbb, tree t)
1211 {
1212 mpz_t one;
1213 ppl_Linear_Expression_t res;
1214 ppl_dimension_type dim;
1215 sese region = SCOP_REGION (PBB_SCOP (pbb));
1216 loop_p loop = pbb_loop (pbb);
1217
1218 dim = pbb_dim_iter_domain (pbb) + pbb_nb_params (pbb);
1219 ppl_new_Linear_Expression_with_dimension (&res, dim);
1220
1221 t = scalar_evolution_in_region (region, loop, t);
1222 gcc_assert (!automatically_generated_chrec_p (t));
1223
1224 mpz_init (one);
1225 mpz_set_si (one, 1);
1226 scan_tree_for_params (region, t, res, one);
1227 mpz_clear (one);
1228
1229 return res;
1230 }
1231
1232 /* Returns the ppl constraint type from the gimple tree code CODE. */
1233
1234 static enum ppl_enum_Constraint_Type
1235 ppl_constraint_type_from_tree_code (enum tree_code code)
1236 {
1237 switch (code)
1238 {
1239 /* We do not support LT and GT to be able to work with C_Polyhedron.
1240 As we work on integer polyhedron "a < b" can be expressed by
1241 "a + 1 <= b". */
1242 case LT_EXPR:
1243 case GT_EXPR:
1244 gcc_unreachable ();
1245
1246 case LE_EXPR:
1247 return PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL;
1248
1249 case GE_EXPR:
1250 return PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL;
1251
1252 case EQ_EXPR:
1253 return PPL_CONSTRAINT_TYPE_EQUAL;
1254
1255 default:
1256 gcc_unreachable ();
1257 }
1258 }
1259
1260 /* Add conditional statement STMT to PS. It is evaluated in PBB and
1261 CODE is used as the comparison operator. This allows us to invert the
1262 condition or to handle inequalities. */
1263
1264 static void
1265 add_condition_to_domain (ppl_Pointset_Powerset_C_Polyhedron_t ps, gimple stmt,
1266 poly_bb_p pbb, enum tree_code code)
1267 {
1268 mpz_t v;
1269 ppl_Coefficient_t c;
1270 ppl_Linear_Expression_t left, right;
1271 ppl_Constraint_t cstr;
1272 enum ppl_enum_Constraint_Type type;
1273
1274 left = create_linear_expr_from_tree (pbb, gimple_cond_lhs (stmt));
1275 right = create_linear_expr_from_tree (pbb, gimple_cond_rhs (stmt));
1276
1277 /* If we have < or > expressions convert them to <= or >= by adding 1 to
1278 the left or the right side of the expression. */
1279 if (code == LT_EXPR)
1280 {
1281 mpz_init (v);
1282 mpz_set_si (v, 1);
1283 ppl_new_Coefficient (&c);
1284 ppl_assign_Coefficient_from_mpz_t (c, v);
1285 ppl_Linear_Expression_add_to_inhomogeneous (left, c);
1286 ppl_delete_Coefficient (c);
1287 mpz_clear (v);
1288
1289 code = LE_EXPR;
1290 }
1291 else if (code == GT_EXPR)
1292 {
1293 mpz_init (v);
1294 mpz_set_si (v, 1);
1295 ppl_new_Coefficient (&c);
1296 ppl_assign_Coefficient_from_mpz_t (c, v);
1297 ppl_Linear_Expression_add_to_inhomogeneous (right, c);
1298 ppl_delete_Coefficient (c);
1299 mpz_clear (v);
1300
1301 code = GE_EXPR;
1302 }
1303
1304 type = ppl_constraint_type_from_tree_code (code);
1305
1306 ppl_subtract_Linear_Expression_from_Linear_Expression (left, right);
1307
1308 ppl_new_Constraint (&cstr, left, type);
1309 ppl_Pointset_Powerset_C_Polyhedron_add_constraint (ps, cstr);
1310
1311 ppl_delete_Constraint (cstr);
1312 ppl_delete_Linear_Expression (left);
1313 ppl_delete_Linear_Expression (right);
1314 }
1315
1316 /* Add conditional statement STMT to pbb. CODE is used as the comparision
1317 operator. This allows us to invert the condition or to handle
1318 inequalities. */
1319
1320 static void
1321 add_condition_to_pbb (poly_bb_p pbb, gimple stmt, enum tree_code code)
1322 {
1323 if (code == NE_EXPR)
1324 {
1325 ppl_Pointset_Powerset_C_Polyhedron_t left = PBB_DOMAIN (pbb);
1326 ppl_Pointset_Powerset_C_Polyhedron_t right;
1327 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1328 (&right, left);
1329 add_condition_to_domain (left, stmt, pbb, LT_EXPR);
1330 add_condition_to_domain (right, stmt, pbb, GT_EXPR);
1331 ppl_Pointset_Powerset_C_Polyhedron_upper_bound_assign (left, right);
1332 ppl_delete_Pointset_Powerset_C_Polyhedron (right);
1333 }
1334 else
1335 add_condition_to_domain (PBB_DOMAIN (pbb), stmt, pbb, code);
1336 }
1337
1338 /* Add conditions to the domain of PBB. */
1339
1340 static void
1341 add_conditions_to_domain (poly_bb_p pbb)
1342 {
1343 unsigned int i;
1344 gimple stmt;
1345 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
1346
1347 if (VEC_empty (gimple, GBB_CONDITIONS (gbb)))
1348 return;
1349
1350 for (i = 0; VEC_iterate (gimple, GBB_CONDITIONS (gbb), i, stmt); i++)
1351 switch (gimple_code (stmt))
1352 {
1353 case GIMPLE_COND:
1354 {
1355 enum tree_code code = gimple_cond_code (stmt);
1356
1357 /* The conditions for ELSE-branches are inverted. */
1358 if (!VEC_index (gimple, GBB_CONDITION_CASES (gbb), i))
1359 code = invert_tree_comparison (code, false);
1360
1361 add_condition_to_pbb (pbb, stmt, code);
1362 break;
1363 }
1364
1365 case GIMPLE_SWITCH:
1366 /* Switch statements are not supported right now - fall throught. */
1367
1368 default:
1369 gcc_unreachable ();
1370 break;
1371 }
1372 }
1373
1374 /* Structure used to pass data to dom_walk. */
1375
1376 struct bsc
1377 {
1378 VEC (gimple, heap) **conditions, **cases;
1379 sese region;
1380 };
1381
1382 /* Returns non NULL when BB has a single predecessor and the last
1383 statement of that predecessor is a COND_EXPR. */
1384
1385 static gimple
1386 single_pred_cond (basic_block bb)
1387 {
1388 if (single_pred_p (bb))
1389 {
1390 edge e = single_pred_edge (bb);
1391 basic_block pred = e->src;
1392 gimple stmt = last_stmt (pred);
1393
1394 if (stmt && gimple_code (stmt) == GIMPLE_COND)
1395 return stmt;
1396 }
1397 return NULL;
1398 }
1399
1400 /* Call-back for dom_walk executed before visiting the dominated
1401 blocks. */
1402
1403 static void
1404 build_sese_conditions_before (struct dom_walk_data *dw_data,
1405 basic_block bb)
1406 {
1407 struct bsc *data = (struct bsc *) dw_data->global_data;
1408 VEC (gimple, heap) **conditions = data->conditions;
1409 VEC (gimple, heap) **cases = data->cases;
1410 gimple_bb_p gbb;
1411 gimple stmt;
1412
1413 if (!bb_in_sese_p (bb, data->region))
1414 return;
1415
1416 stmt = single_pred_cond (bb);
1417
1418 if (stmt)
1419 {
1420 edge e = single_pred_edge (bb);
1421
1422 VEC_safe_push (gimple, heap, *conditions, stmt);
1423
1424 if (e->flags & EDGE_TRUE_VALUE)
1425 VEC_safe_push (gimple, heap, *cases, stmt);
1426 else
1427 VEC_safe_push (gimple, heap, *cases, NULL);
1428 }
1429
1430 gbb = gbb_from_bb (bb);
1431
1432 if (gbb)
1433 {
1434 GBB_CONDITIONS (gbb) = VEC_copy (gimple, heap, *conditions);
1435 GBB_CONDITION_CASES (gbb) = VEC_copy (gimple, heap, *cases);
1436 }
1437 }
1438
1439 /* Call-back for dom_walk executed after visiting the dominated
1440 blocks. */
1441
1442 static void
1443 build_sese_conditions_after (struct dom_walk_data *dw_data,
1444 basic_block bb)
1445 {
1446 struct bsc *data = (struct bsc *) dw_data->global_data;
1447 VEC (gimple, heap) **conditions = data->conditions;
1448 VEC (gimple, heap) **cases = data->cases;
1449
1450 if (!bb_in_sese_p (bb, data->region))
1451 return;
1452
1453 if (single_pred_cond (bb))
1454 {
1455 VEC_pop (gimple, *conditions);
1456 VEC_pop (gimple, *cases);
1457 }
1458 }
1459
1460 /* Record all conditions in REGION. */
1461
1462 static void
1463 build_sese_conditions (sese region)
1464 {
1465 struct dom_walk_data walk_data;
1466 VEC (gimple, heap) *conditions = VEC_alloc (gimple, heap, 3);
1467 VEC (gimple, heap) *cases = VEC_alloc (gimple, heap, 3);
1468 struct bsc data;
1469
1470 data.conditions = &conditions;
1471 data.cases = &cases;
1472 data.region = region;
1473
1474 walk_data.dom_direction = CDI_DOMINATORS;
1475 walk_data.initialize_block_local_data = NULL;
1476 walk_data.before_dom_children = build_sese_conditions_before;
1477 walk_data.after_dom_children = build_sese_conditions_after;
1478 walk_data.global_data = &data;
1479 walk_data.block_local_data_size = 0;
1480
1481 init_walk_dominator_tree (&walk_data);
1482 walk_dominator_tree (&walk_data, SESE_ENTRY_BB (region));
1483 fini_walk_dominator_tree (&walk_data);
1484
1485 VEC_free (gimple, heap, conditions);
1486 VEC_free (gimple, heap, cases);
1487 }
1488
1489 /* Traverses all the GBBs of the SCOP and add their constraints to the
1490 iteration domains. */
1491
1492 static void
1493 add_conditions_to_constraints (scop_p scop)
1494 {
1495 int i;
1496 poly_bb_p pbb;
1497
1498 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1499 add_conditions_to_domain (pbb);
1500 }
1501
1502 /* Add constraints on the possible values of parameter P from the type
1503 of P. */
1504
1505 static void
1506 add_param_constraints (scop_p scop, ppl_Polyhedron_t context, graphite_dim_t p)
1507 {
1508 ppl_Constraint_t cstr;
1509 ppl_Linear_Expression_t le;
1510 tree parameter = VEC_index (tree, SESE_PARAMS (SCOP_REGION (scop)), p);
1511 tree type = TREE_TYPE (parameter);
1512 tree lb = NULL_TREE;
1513 tree ub = NULL_TREE;
1514
1515 if (POINTER_TYPE_P (type) || !TYPE_MIN_VALUE (type))
1516 lb = lower_bound_in_type (type, type);
1517 else
1518 lb = TYPE_MIN_VALUE (type);
1519
1520 if (POINTER_TYPE_P (type) || !TYPE_MAX_VALUE (type))
1521 ub = upper_bound_in_type (type, type);
1522 else
1523 ub = TYPE_MAX_VALUE (type);
1524
1525 if (lb)
1526 {
1527 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1528 ppl_set_coef (le, p, -1);
1529 ppl_set_inhomogeneous_tree (le, lb);
1530 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1531 ppl_Polyhedron_add_constraint (context, cstr);
1532 ppl_delete_Linear_Expression (le);
1533 ppl_delete_Constraint (cstr);
1534 }
1535
1536 if (ub)
1537 {
1538 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1539 ppl_set_coef (le, p, -1);
1540 ppl_set_inhomogeneous_tree (le, ub);
1541 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1542 ppl_Polyhedron_add_constraint (context, cstr);
1543 ppl_delete_Linear_Expression (le);
1544 ppl_delete_Constraint (cstr);
1545 }
1546 }
1547
1548 /* Build the context of the SCOP. The context usually contains extra
1549 constraints that are added to the iteration domains that constrain
1550 some parameters. */
1551
1552 static void
1553 build_scop_context (scop_p scop)
1554 {
1555 ppl_Polyhedron_t context;
1556 ppl_Pointset_Powerset_C_Polyhedron_t ps;
1557 graphite_dim_t p, n = scop_nb_params (scop);
1558
1559 ppl_new_C_Polyhedron_from_space_dimension (&context, n, 0);
1560
1561 for (p = 0; p < n; p++)
1562 add_param_constraints (scop, context, p);
1563
1564 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1565 (&ps, context);
1566 ppl_Pointset_Powerset_C_Polyhedron_intersection_assign
1567 (SCOP_CONTEXT (scop), ps);
1568
1569 ppl_delete_Pointset_Powerset_C_Polyhedron (ps);
1570 ppl_delete_Polyhedron (context);
1571 }
1572
1573 /* Build the iteration domains: the loops belonging to the current
1574 SCOP, and that vary for the execution of the current basic block.
1575 Returns false if there is no loop in SCOP. */
1576
1577 static void
1578 build_scop_iteration_domain (scop_p scop)
1579 {
1580 struct loop *loop;
1581 sese region = SCOP_REGION (scop);
1582 int i;
1583 ppl_Polyhedron_t ph;
1584 poly_bb_p pbb;
1585 int nb_loops = number_of_loops ();
1586 ppl_Pointset_Powerset_C_Polyhedron_t *domains
1587 = XNEWVEC (ppl_Pointset_Powerset_C_Polyhedron_t, nb_loops);
1588
1589 for (i = 0; i < nb_loops; i++)
1590 domains[i] = NULL;
1591
1592 ppl_new_C_Polyhedron_from_space_dimension (&ph, scop_nb_params (scop), 0);
1593
1594 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1595 if (!loop_in_sese_p (loop_outer (loop), region))
1596 build_loop_iteration_domains (scop, loop, ph, 0, domains);
1597
1598 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1599 if (domains[gbb_loop (PBB_BLACK_BOX (pbb))->num])
1600 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1601 (&PBB_DOMAIN (pbb), (ppl_const_Pointset_Powerset_C_Polyhedron_t)
1602 domains[gbb_loop (PBB_BLACK_BOX (pbb))->num]);
1603 else
1604 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1605 (&PBB_DOMAIN (pbb), ph);
1606
1607 for (i = 0; i < nb_loops; i++)
1608 if (domains[i])
1609 ppl_delete_Pointset_Powerset_C_Polyhedron (domains[i]);
1610
1611 ppl_delete_Polyhedron (ph);
1612 free (domains);
1613 }
1614
1615 /* Add a constrain to the ACCESSES polyhedron for the alias set of
1616 data reference DR. ACCESSP_NB_DIMS is the dimension of the
1617 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1618 domain. */
1619
1620 static void
1621 pdr_add_alias_set (ppl_Polyhedron_t accesses, data_reference_p dr,
1622 ppl_dimension_type accessp_nb_dims,
1623 ppl_dimension_type dom_nb_dims)
1624 {
1625 ppl_Linear_Expression_t alias;
1626 ppl_Constraint_t cstr;
1627 int alias_set_num = 0;
1628 base_alias_pair *bap = (base_alias_pair *)(dr->aux);
1629
1630 if (bap && bap->alias_set)
1631 alias_set_num = *(bap->alias_set);
1632
1633 ppl_new_Linear_Expression_with_dimension (&alias, accessp_nb_dims);
1634
1635 ppl_set_coef (alias, dom_nb_dims, 1);
1636 ppl_set_inhomogeneous (alias, -alias_set_num);
1637 ppl_new_Constraint (&cstr, alias, PPL_CONSTRAINT_TYPE_EQUAL);
1638 ppl_Polyhedron_add_constraint (accesses, cstr);
1639
1640 ppl_delete_Linear_Expression (alias);
1641 ppl_delete_Constraint (cstr);
1642 }
1643
1644 /* Add to ACCESSES polyhedron equalities defining the access functions
1645 to the memory. ACCESSP_NB_DIMS is the dimension of the ACCESSES
1646 polyhedron, DOM_NB_DIMS is the dimension of the iteration domain.
1647 PBB is the poly_bb_p that contains the data reference DR. */
1648
1649 static void
1650 pdr_add_memory_accesses (ppl_Polyhedron_t accesses, data_reference_p dr,
1651 ppl_dimension_type accessp_nb_dims,
1652 ppl_dimension_type dom_nb_dims,
1653 poly_bb_p pbb)
1654 {
1655 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1656 mpz_t v;
1657 scop_p scop = PBB_SCOP (pbb);
1658 sese region = SCOP_REGION (scop);
1659
1660 mpz_init (v);
1661
1662 for (i = 0; i < nb_subscripts; i++)
1663 {
1664 ppl_Linear_Expression_t fn, access;
1665 ppl_Constraint_t cstr;
1666 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1667 tree afn = DR_ACCESS_FN (dr, nb_subscripts - 1 - i);
1668
1669 ppl_new_Linear_Expression_with_dimension (&fn, dom_nb_dims);
1670 ppl_new_Linear_Expression_with_dimension (&access, accessp_nb_dims);
1671
1672 mpz_set_si (v, 1);
1673 scan_tree_for_params (region, afn, fn, v);
1674 ppl_assign_Linear_Expression_from_Linear_Expression (access, fn);
1675
1676 ppl_set_coef (access, subscript, -1);
1677 ppl_new_Constraint (&cstr, access, PPL_CONSTRAINT_TYPE_EQUAL);
1678 ppl_Polyhedron_add_constraint (accesses, cstr);
1679
1680 ppl_delete_Linear_Expression (fn);
1681 ppl_delete_Linear_Expression (access);
1682 ppl_delete_Constraint (cstr);
1683 }
1684
1685 mpz_clear (v);
1686 }
1687
1688 /* Add constrains representing the size of the accessed data to the
1689 ACCESSES polyhedron. ACCESSP_NB_DIMS is the dimension of the
1690 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1691 domain. */
1692
1693 static void
1694 pdr_add_data_dimensions (ppl_Polyhedron_t accesses, data_reference_p dr,
1695 ppl_dimension_type accessp_nb_dims,
1696 ppl_dimension_type dom_nb_dims)
1697 {
1698 tree ref = DR_REF (dr);
1699 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1700
1701 for (i = nb_subscripts - 1; i >= 0; i--, ref = TREE_OPERAND (ref, 0))
1702 {
1703 ppl_Linear_Expression_t expr;
1704 ppl_Constraint_t cstr;
1705 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1706 tree low, high;
1707
1708 if (TREE_CODE (ref) != ARRAY_REF)
1709 break;
1710
1711 low = array_ref_low_bound (ref);
1712
1713 /* subscript - low >= 0 */
1714 if (host_integerp (low, 0))
1715 {
1716 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1717 ppl_set_coef (expr, subscript, 1);
1718
1719 ppl_set_inhomogeneous (expr, -int_cst_value (low));
1720
1721 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1722 ppl_Polyhedron_add_constraint (accesses, cstr);
1723 ppl_delete_Linear_Expression (expr);
1724 ppl_delete_Constraint (cstr);
1725 }
1726
1727 high = array_ref_up_bound (ref);
1728
1729 /* high - subscript >= 0 */
1730 if (high && host_integerp (high, 0)
1731 /* 1-element arrays at end of structures may extend over
1732 their declared size. */
1733 && !(array_at_struct_end_p (ref)
1734 && operand_equal_p (low, high, 0)))
1735 {
1736 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1737 ppl_set_coef (expr, subscript, -1);
1738
1739 ppl_set_inhomogeneous (expr, int_cst_value (high));
1740
1741 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1742 ppl_Polyhedron_add_constraint (accesses, cstr);
1743 ppl_delete_Linear_Expression (expr);
1744 ppl_delete_Constraint (cstr);
1745 }
1746 }
1747 }
1748
1749 /* Build data accesses for DR in PBB. */
1750
1751 static void
1752 build_poly_dr (data_reference_p dr, poly_bb_p pbb)
1753 {
1754 ppl_Polyhedron_t accesses;
1755 ppl_Pointset_Powerset_C_Polyhedron_t accesses_ps;
1756 ppl_dimension_type dom_nb_dims;
1757 ppl_dimension_type accessp_nb_dims;
1758 int dr_base_object_set;
1759
1760 ppl_Pointset_Powerset_C_Polyhedron_space_dimension (PBB_DOMAIN (pbb),
1761 &dom_nb_dims);
1762 accessp_nb_dims = dom_nb_dims + 1 + DR_NUM_DIMENSIONS (dr);
1763
1764 ppl_new_C_Polyhedron_from_space_dimension (&accesses, accessp_nb_dims, 0);
1765
1766 pdr_add_alias_set (accesses, dr, accessp_nb_dims, dom_nb_dims);
1767 pdr_add_memory_accesses (accesses, dr, accessp_nb_dims, dom_nb_dims, pbb);
1768 pdr_add_data_dimensions (accesses, dr, accessp_nb_dims, dom_nb_dims);
1769
1770 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron (&accesses_ps,
1771 accesses);
1772 ppl_delete_Polyhedron (accesses);
1773
1774 if (dr->aux)
1775 dr_base_object_set = ((base_alias_pair *)(dr->aux))->base_obj_set;
1776
1777 new_poly_dr (pbb, dr_base_object_set, accesses_ps, DR_IS_READ (dr) ? PDR_READ : PDR_WRITE,
1778 dr, DR_NUM_DIMENSIONS (dr));
1779 }
1780
1781 /* Write to FILE the alias graph of data references in DIMACS format. */
1782
1783 static inline bool
1784 write_alias_graph_to_ascii_dimacs (FILE *file, char *comment,
1785 VEC (data_reference_p, heap) *drs)
1786 {
1787 int num_vertex = VEC_length (data_reference_p, drs);
1788 int edge_num = 0;
1789 data_reference_p dr1, dr2;
1790 int i, j;
1791
1792 if (num_vertex == 0)
1793 return true;
1794
1795 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1796 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1797 if (dr_may_alias_p (dr1, dr2))
1798 edge_num++;
1799
1800 fprintf (file, "$\n");
1801
1802 if (comment)
1803 fprintf (file, "c %s\n", comment);
1804
1805 fprintf (file, "p edge %d %d\n", num_vertex, edge_num);
1806
1807 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1808 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1809 if (dr_may_alias_p (dr1, dr2))
1810 fprintf (file, "e %d %d\n", i + 1, j + 1);
1811
1812 return true;
1813 }
1814
1815 /* Write to FILE the alias graph of data references in DOT format. */
1816
1817 static inline bool
1818 write_alias_graph_to_ascii_dot (FILE *file, char *comment,
1819 VEC (data_reference_p, heap) *drs)
1820 {
1821 int num_vertex = VEC_length (data_reference_p, drs);
1822 data_reference_p dr1, dr2;
1823 int i, j;
1824
1825 if (num_vertex == 0)
1826 return true;
1827
1828 fprintf (file, "$\n");
1829
1830 if (comment)
1831 fprintf (file, "c %s\n", comment);
1832
1833 /* First print all the vertices. */
1834 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1835 fprintf (file, "n%d;\n", i);
1836
1837 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1838 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1839 if (dr_may_alias_p (dr1, dr2))
1840 fprintf (file, "n%d n%d\n", i, j);
1841
1842 return true;
1843 }
1844
1845 /* Write to FILE the alias graph of data references in ECC format. */
1846
1847 static inline bool
1848 write_alias_graph_to_ascii_ecc (FILE *file, char *comment,
1849 VEC (data_reference_p, heap) *drs)
1850 {
1851 int num_vertex = VEC_length (data_reference_p, drs);
1852 data_reference_p dr1, dr2;
1853 int i, j;
1854
1855 if (num_vertex == 0)
1856 return true;
1857
1858 fprintf (file, "$\n");
1859
1860 if (comment)
1861 fprintf (file, "c %s\n", comment);
1862
1863 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1864 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1865 if (dr_may_alias_p (dr1, dr2))
1866 fprintf (file, "%d %d\n", i, j);
1867
1868 return true;
1869 }
1870
1871 /* Check if DR1 and DR2 are in the same object set. */
1872
1873 static bool
1874 dr_same_base_object_p (const struct data_reference *dr1,
1875 const struct data_reference *dr2)
1876 {
1877 return operand_equal_p (DR_BASE_OBJECT (dr1), DR_BASE_OBJECT (dr2), 0);
1878 }
1879
1880 /* Uses DFS component number as representative of alias-sets. Also tests for
1881 optimality by verifying if every connected component is a clique. Returns
1882 true (1) if the above test is true, and false (0) otherwise. */
1883
1884 static int
1885 build_alias_set_optimal_p (VEC (data_reference_p, heap) *drs)
1886 {
1887 int num_vertices = VEC_length (data_reference_p, drs);
1888 struct graph *g = new_graph (num_vertices);
1889 data_reference_p dr1, dr2;
1890 int i, j;
1891 int num_connected_components;
1892 int v_indx1, v_indx2, num_vertices_in_component;
1893 int *all_vertices;
1894 int *vertices;
1895 struct graph_edge *e;
1896 int this_component_is_clique;
1897 int all_components_are_cliques = 1;
1898
1899 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1900 for (j = i+1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1901 if (dr_may_alias_p (dr1, dr2))
1902 {
1903 add_edge (g, i, j);
1904 add_edge (g, j, i);
1905 }
1906
1907 all_vertices = XNEWVEC (int, num_vertices);
1908 vertices = XNEWVEC (int, num_vertices);
1909 for (i = 0; i < num_vertices; i++)
1910 all_vertices[i] = i;
1911
1912 num_connected_components = graphds_dfs (g, all_vertices, num_vertices,
1913 NULL, true, NULL);
1914 for (i = 0; i < g->n_vertices; i++)
1915 {
1916 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1917 base_alias_pair *bap;
1918
1919 if (dr->aux)
1920 bap = (base_alias_pair *)(dr->aux);
1921
1922 bap->alias_set = XNEW (int);
1923 *(bap->alias_set) = g->vertices[i].component + 1;
1924 }
1925
1926 /* Verify if the DFS numbering results in optimal solution. */
1927 for (i = 0; i < num_connected_components; i++)
1928 {
1929 num_vertices_in_component = 0;
1930 /* Get all vertices whose DFS component number is the same as i. */
1931 for (j = 0; j < num_vertices; j++)
1932 if (g->vertices[j].component == i)
1933 vertices[num_vertices_in_component++] = j;
1934
1935 /* Now test if the vertices in 'vertices' form a clique, by testing
1936 for edges among each pair. */
1937 this_component_is_clique = 1;
1938 for (v_indx1 = 0; v_indx1 < num_vertices_in_component; v_indx1++)
1939 {
1940 for (v_indx2 = v_indx1+1; v_indx2 < num_vertices_in_component; v_indx2++)
1941 {
1942 /* Check if the two vertices are connected by iterating
1943 through all the edges which have one of these are source. */
1944 e = g->vertices[vertices[v_indx2]].pred;
1945 while (e)
1946 {
1947 if (e->src == vertices[v_indx1])
1948 break;
1949 e = e->pred_next;
1950 }
1951 if (!e)
1952 {
1953 this_component_is_clique = 0;
1954 break;
1955 }
1956 }
1957 if (!this_component_is_clique)
1958 all_components_are_cliques = 0;
1959 }
1960 }
1961
1962 free (all_vertices);
1963 free (vertices);
1964 free_graph (g);
1965 return all_components_are_cliques;
1966 }
1967
1968 /* Group each data reference in DRS with it's base object set num. */
1969
1970 static void
1971 build_base_obj_set_for_drs (VEC (data_reference_p, heap) *drs)
1972 {
1973 int num_vertex = VEC_length (data_reference_p, drs);
1974 struct graph *g = new_graph (num_vertex);
1975 data_reference_p dr1, dr2;
1976 int i, j;
1977 int *queue;
1978
1979 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1980 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1981 if (dr_same_base_object_p (dr1, dr2))
1982 {
1983 add_edge (g, i, j);
1984 add_edge (g, j, i);
1985 }
1986
1987 queue = XNEWVEC (int, num_vertex);
1988 for (i = 0; i < num_vertex; i++)
1989 queue[i] = i;
1990
1991 graphds_dfs (g, queue, num_vertex, NULL, true, NULL);
1992
1993 for (i = 0; i < g->n_vertices; i++)
1994 {
1995 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1996 base_alias_pair *bap;
1997
1998 if (dr->aux)
1999 bap = (base_alias_pair *)(dr->aux);
2000
2001 bap->base_obj_set = g->vertices[i].component + 1;
2002 }
2003
2004 free (queue);
2005 free_graph (g);
2006 }
2007
2008 /* Build the data references for PBB. */
2009
2010 static void
2011 build_pbb_drs (poly_bb_p pbb)
2012 {
2013 int j;
2014 data_reference_p dr;
2015 VEC (data_reference_p, heap) *gbb_drs = GBB_DATA_REFS (PBB_BLACK_BOX (pbb));
2016
2017 for (j = 0; VEC_iterate (data_reference_p, gbb_drs, j, dr); j++)
2018 build_poly_dr (dr, pbb);
2019 }
2020
2021 /* Dump to file the alias graphs for the data references in DRS. */
2022
2023 static void
2024 dump_alias_graphs (VEC (data_reference_p, heap) *drs)
2025 {
2026 char comment[100];
2027 FILE *file_dimacs, *file_ecc, *file_dot;
2028
2029 file_dimacs = fopen ("/tmp/dr_alias_graph_dimacs", "ab");
2030 if (file_dimacs)
2031 {
2032 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2033 current_function_name ());
2034 write_alias_graph_to_ascii_dimacs (file_dimacs, comment, drs);
2035 fclose (file_dimacs);
2036 }
2037
2038 file_ecc = fopen ("/tmp/dr_alias_graph_ecc", "ab");
2039 if (file_ecc)
2040 {
2041 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2042 current_function_name ());
2043 write_alias_graph_to_ascii_ecc (file_ecc, comment, drs);
2044 fclose (file_ecc);
2045 }
2046
2047 file_dot = fopen ("/tmp/dr_alias_graph_dot", "ab");
2048 if (file_dot)
2049 {
2050 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
2051 current_function_name ());
2052 write_alias_graph_to_ascii_dot (file_dot, comment, drs);
2053 fclose (file_dot);
2054 }
2055 }
2056
2057 /* Build data references in SCOP. */
2058
2059 static void
2060 build_scop_drs (scop_p scop)
2061 {
2062 int i, j;
2063 poly_bb_p pbb;
2064 data_reference_p dr;
2065 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 3);
2066
2067 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2068 for (j = 0; VEC_iterate (data_reference_p,
2069 GBB_DATA_REFS (PBB_BLACK_BOX (pbb)), j, dr); j++)
2070 VEC_safe_push (data_reference_p, heap, drs, dr);
2071
2072 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr); i++)
2073 dr->aux = XNEW (base_alias_pair);
2074
2075 if (!build_alias_set_optimal_p (drs))
2076 {
2077 /* TODO: Add support when building alias set is not optimal. */
2078 ;
2079 }
2080
2081 build_base_obj_set_for_drs (drs);
2082
2083 /* When debugging, enable the following code. This cannot be used
2084 in production compilers. */
2085 if (0)
2086 dump_alias_graphs (drs);
2087
2088 VEC_free (data_reference_p, heap, drs);
2089
2090 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2091 build_pbb_drs (pbb);
2092 }
2093
2094 /* Return a gsi at the position of the phi node STMT. */
2095
2096 static gimple_stmt_iterator
2097 gsi_for_phi_node (gimple stmt)
2098 {
2099 gimple_stmt_iterator psi;
2100 basic_block bb = gimple_bb (stmt);
2101
2102 for (psi = gsi_start_phis (bb); !gsi_end_p (psi); gsi_next (&psi))
2103 if (stmt == gsi_stmt (psi))
2104 return psi;
2105
2106 gcc_unreachable ();
2107 return psi;
2108 }
2109
2110 /* Insert the assignment "RES := VAR" just after the definition of VAR. */
2111
2112 static void
2113 insert_out_of_ssa_copy (tree res, tree var)
2114 {
2115 gimple stmt;
2116 gimple_seq stmts;
2117 gimple_stmt_iterator si;
2118 gimple_stmt_iterator gsi;
2119
2120 var = force_gimple_operand (var, &stmts, true, NULL_TREE);
2121 stmt = gimple_build_assign (res, var);
2122 if (!stmts)
2123 stmts = gimple_seq_alloc ();
2124 si = gsi_last (stmts);
2125 gsi_insert_after (&si, stmt, GSI_NEW_STMT);
2126
2127 stmt = SSA_NAME_DEF_STMT (var);
2128 if (gimple_code (stmt) == GIMPLE_PHI)
2129 {
2130 gsi = gsi_after_labels (gimple_bb (stmt));
2131 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2132 }
2133 else
2134 {
2135 gsi = gsi_for_stmt (stmt);
2136 gsi_insert_seq_after (&gsi, stmts, GSI_NEW_STMT);
2137 }
2138 }
2139
2140 /* Insert on edge E the assignment "RES := EXPR". */
2141
2142 static void
2143 insert_out_of_ssa_copy_on_edge (edge e, tree res, tree expr)
2144 {
2145 gimple_stmt_iterator gsi;
2146 gimple_seq stmts;
2147 tree var = force_gimple_operand (expr, &stmts, true, NULL_TREE);
2148 gimple stmt = gimple_build_assign (res, var);
2149
2150 if (!stmts)
2151 stmts = gimple_seq_alloc ();
2152
2153 gsi = gsi_last (stmts);
2154 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2155 gsi_insert_seq_on_edge (e, stmts);
2156 gsi_commit_edge_inserts ();
2157 }
2158
2159 /* Creates a zero dimension array of the same type as VAR. */
2160
2161 static tree
2162 create_zero_dim_array (tree var, const char *base_name)
2163 {
2164 tree index_type = build_index_type (integer_zero_node);
2165 tree elt_type = TREE_TYPE (var);
2166 tree array_type = build_array_type (elt_type, index_type);
2167 tree base = create_tmp_var (array_type, base_name);
2168
2169 add_referenced_var (base);
2170
2171 return build4 (ARRAY_REF, elt_type, base, integer_zero_node, NULL_TREE,
2172 NULL_TREE);
2173 }
2174
2175 /* Returns true when PHI is a loop close phi node. */
2176
2177 static bool
2178 scalar_close_phi_node_p (gimple phi)
2179 {
2180 if (gimple_code (phi) != GIMPLE_PHI
2181 || !is_gimple_reg (gimple_phi_result (phi)))
2182 return false;
2183
2184 /* Note that loop close phi nodes should have a single argument
2185 because we translated the representation into a canonical form
2186 before Graphite: see canonicalize_loop_closed_ssa_form. */
2187 return (gimple_phi_num_args (phi) == 1);
2188 }
2189
2190 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2191 dimension array for it. */
2192
2193 static void
2194 rewrite_close_phi_out_of_ssa (gimple_stmt_iterator *psi)
2195 {
2196 gimple phi = gsi_stmt (*psi);
2197 tree res = gimple_phi_result (phi);
2198 tree var = SSA_NAME_VAR (res);
2199 tree zero_dim_array = create_zero_dim_array (var, "Close_Phi");
2200 gimple_stmt_iterator gsi = gsi_after_labels (gimple_bb (phi));
2201 gimple stmt = gimple_build_assign (res, zero_dim_array);
2202 tree arg = gimple_phi_arg_def (phi, 0);
2203
2204 /* Note that loop close phi nodes should have a single argument
2205 because we translated the representation into a canonical form
2206 before Graphite: see canonicalize_loop_closed_ssa_form. */
2207 gcc_assert (gimple_phi_num_args (phi) == 1);
2208
2209 if (TREE_CODE (arg) == SSA_NAME
2210 && !SSA_NAME_IS_DEFAULT_DEF (arg))
2211 insert_out_of_ssa_copy (zero_dim_array, arg);
2212 else
2213 insert_out_of_ssa_copy_on_edge (single_pred_edge (gimple_bb (phi)),
2214 zero_dim_array, arg);
2215
2216 remove_phi_node (psi, false);
2217 gsi_insert_before (&gsi, stmt, GSI_NEW_STMT);
2218 SSA_NAME_DEF_STMT (res) = stmt;
2219 }
2220
2221 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2222 dimension array for it. */
2223
2224 static void
2225 rewrite_phi_out_of_ssa (gimple_stmt_iterator *psi)
2226 {
2227 size_t i;
2228 gimple phi = gsi_stmt (*psi);
2229 basic_block bb = gimple_bb (phi);
2230 tree res = gimple_phi_result (phi);
2231 tree var = SSA_NAME_VAR (res);
2232 tree zero_dim_array = create_zero_dim_array (var, "General_Reduction");
2233 gimple_stmt_iterator gsi;
2234 gimple stmt;
2235 gimple_seq stmts;
2236
2237 for (i = 0; i < gimple_phi_num_args (phi); i++)
2238 {
2239 tree arg = gimple_phi_arg_def (phi, i);
2240
2241 /* Try to avoid the insertion on edges as much as possible: this
2242 would avoid the insertion of code on loop latch edges, making
2243 the pattern matching of the vectorizer happy, or it would
2244 avoid the insertion of useless basic blocks. Note that it is
2245 incorrect to insert out of SSA copies close by their
2246 definition when they are more than two loop levels apart:
2247 for example, starting from a double nested loop
2248
2249 | a = ...
2250 | loop_1
2251 | loop_2
2252 | b = phi (a, c)
2253 | c = ...
2254 | end_2
2255 | end_1
2256
2257 the following transform is incorrect
2258
2259 | a = ...
2260 | Red[0] = a
2261 | loop_1
2262 | loop_2
2263 | b = Red[0]
2264 | c = ...
2265 | Red[0] = c
2266 | end_2
2267 | end_1
2268
2269 whereas inserting the copy on the incoming edge is correct
2270
2271 | a = ...
2272 | loop_1
2273 | Red[0] = a
2274 | loop_2
2275 | b = Red[0]
2276 | c = ...
2277 | Red[0] = c
2278 | end_2
2279 | end_1
2280 */
2281 if (TREE_CODE (arg) == SSA_NAME
2282 && is_gimple_reg (arg)
2283 && gimple_bb (SSA_NAME_DEF_STMT (arg))
2284 && (flow_bb_inside_loop_p (bb->loop_father,
2285 gimple_bb (SSA_NAME_DEF_STMT (arg)))
2286 || flow_bb_inside_loop_p (loop_outer (bb->loop_father),
2287 gimple_bb (SSA_NAME_DEF_STMT (arg)))))
2288 insert_out_of_ssa_copy (zero_dim_array, arg);
2289 else
2290 insert_out_of_ssa_copy_on_edge (gimple_phi_arg_edge (phi, i),
2291 zero_dim_array, arg);
2292 }
2293
2294 var = force_gimple_operand (zero_dim_array, &stmts, true, NULL_TREE);
2295
2296 if (!stmts)
2297 stmts = gimple_seq_alloc ();
2298
2299 stmt = gimple_build_assign (res, var);
2300 remove_phi_node (psi, false);
2301 SSA_NAME_DEF_STMT (res) = stmt;
2302
2303 gsi = gsi_last (stmts);
2304 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2305
2306 gsi = gsi_after_labels (bb);
2307 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2308 }
2309
2310 /* Return true when DEF can be analyzed in REGION by the scalar
2311 evolution analyzer. */
2312
2313 static bool
2314 scev_analyzable_p (tree def, sese region)
2315 {
2316 gimple stmt = SSA_NAME_DEF_STMT (def);
2317 loop_p loop = loop_containing_stmt (stmt);
2318 tree scev = scalar_evolution_in_region (region, loop, def);
2319
2320 return !chrec_contains_undetermined (scev);
2321 }
2322
2323 /* Rewrite the scalar dependence of DEF used in USE_STMT with a memory
2324 read from ZERO_DIM_ARRAY. */
2325
2326 static void
2327 rewrite_cross_bb_scalar_dependence (tree zero_dim_array, tree def, gimple use_stmt)
2328 {
2329 tree var = SSA_NAME_VAR (def);
2330 gimple name_stmt = gimple_build_assign (var, zero_dim_array);
2331 tree name = make_ssa_name (var, name_stmt);
2332 ssa_op_iter iter;
2333 use_operand_p use_p;
2334 gimple_stmt_iterator gsi;
2335
2336 gcc_assert (gimple_code (use_stmt) != GIMPLE_PHI);
2337
2338 gimple_assign_set_lhs (name_stmt, name);
2339
2340 gsi = gsi_for_stmt (use_stmt);
2341 gsi_insert_before (&gsi, name_stmt, GSI_NEW_STMT);
2342
2343 FOR_EACH_SSA_USE_OPERAND (use_p, use_stmt, iter, SSA_OP_ALL_USES)
2344 if (operand_equal_p (def, USE_FROM_PTR (use_p), 0))
2345 replace_exp (use_p, name);
2346
2347 update_stmt (use_stmt);
2348 }
2349
2350 /* Rewrite the scalar dependences crossing the boundary of the BB
2351 containing STMT with an array. */
2352
2353 static void
2354 rewrite_cross_bb_scalar_deps (sese region, gimple_stmt_iterator *gsi)
2355 {
2356 gimple stmt = gsi_stmt (*gsi);
2357 imm_use_iterator imm_iter;
2358 tree def;
2359 basic_block def_bb;
2360 tree zero_dim_array = NULL_TREE;
2361 gimple use_stmt;
2362
2363 if (gimple_code (stmt) != GIMPLE_ASSIGN)
2364 return;
2365
2366 def = gimple_assign_lhs (stmt);
2367 if (!is_gimple_reg (def)
2368 || scev_analyzable_p (def, region))
2369 return;
2370
2371 def_bb = gimple_bb (stmt);
2372
2373 FOR_EACH_IMM_USE_STMT (use_stmt, imm_iter, def)
2374 if (def_bb != gimple_bb (use_stmt)
2375 && gimple_code (use_stmt) != GIMPLE_PHI
2376 && !is_gimple_debug (use_stmt))
2377 {
2378 if (!zero_dim_array)
2379 {
2380 zero_dim_array = create_zero_dim_array
2381 (SSA_NAME_VAR (def), "Cross_BB_scalar_dependence");
2382 insert_out_of_ssa_copy (zero_dim_array, def);
2383 gsi_next (gsi);
2384 }
2385
2386 rewrite_cross_bb_scalar_dependence (zero_dim_array, def, use_stmt);
2387 }
2388 }
2389
2390 /* Rewrite out of SSA all the reduction phi nodes of SCOP. */
2391
2392 static void
2393 rewrite_reductions_out_of_ssa (scop_p scop)
2394 {
2395 basic_block bb;
2396 gimple_stmt_iterator psi;
2397 sese region = SCOP_REGION (scop);
2398
2399 FOR_EACH_BB (bb)
2400 if (bb_in_sese_p (bb, region))
2401 for (psi = gsi_start_phis (bb); !gsi_end_p (psi);)
2402 {
2403 if (scalar_close_phi_node_p (gsi_stmt (psi)))
2404 rewrite_close_phi_out_of_ssa (&psi);
2405 else if (reduction_phi_p (region, &psi))
2406 rewrite_phi_out_of_ssa (&psi);
2407 }
2408
2409 update_ssa (TODO_update_ssa);
2410 #ifdef ENABLE_CHECKING
2411 verify_loop_closed_ssa (true);
2412 #endif
2413
2414 FOR_EACH_BB (bb)
2415 if (bb_in_sese_p (bb, region))
2416 for (psi = gsi_start_bb (bb); !gsi_end_p (psi); gsi_next (&psi))
2417 rewrite_cross_bb_scalar_deps (region, &psi);
2418
2419 update_ssa (TODO_update_ssa);
2420 #ifdef ENABLE_CHECKING
2421 verify_loop_closed_ssa (true);
2422 #endif
2423 }
2424
2425 /* Returns the number of pbbs that are in loops contained in SCOP. */
2426
2427 static int
2428 nb_pbbs_in_loops (scop_p scop)
2429 {
2430 int i;
2431 poly_bb_p pbb;
2432 int res = 0;
2433
2434 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2435 if (loop_in_sese_p (gbb_loop (PBB_BLACK_BOX (pbb)), SCOP_REGION (scop)))
2436 res++;
2437
2438 return res;
2439 }
2440
2441 /* Return the number of data references in BB that write in
2442 memory. */
2443
2444 static int
2445 nb_data_writes_in_bb (basic_block bb)
2446 {
2447 int res = 0;
2448 gimple_stmt_iterator gsi;
2449
2450 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
2451 if (gimple_vdef (gsi_stmt (gsi)))
2452 res++;
2453
2454 return res;
2455 }
2456
2457 /* Splits STMT out of its current BB. */
2458
2459 static basic_block
2460 split_reduction_stmt (gimple stmt)
2461 {
2462 gimple_stmt_iterator gsi;
2463 basic_block bb = gimple_bb (stmt);
2464 edge e;
2465
2466 /* Do not split basic blocks with no writes to memory: the reduction
2467 will be the only write to memory. */
2468 if (nb_data_writes_in_bb (bb) == 0)
2469 return bb;
2470
2471 split_block (bb, stmt);
2472
2473 if (gsi_one_before_end_p (gsi_start_nondebug_bb (bb)))
2474 return bb;
2475
2476 gsi = gsi_last_bb (bb);
2477 gsi_prev (&gsi);
2478 e = split_block (bb, gsi_stmt (gsi));
2479
2480 return e->dest;
2481 }
2482
2483 /* Return true when stmt is a reduction operation. */
2484
2485 static inline bool
2486 is_reduction_operation_p (gimple stmt)
2487 {
2488 enum tree_code code;
2489
2490 gcc_assert (is_gimple_assign (stmt));
2491 code = gimple_assign_rhs_code (stmt);
2492
2493 return flag_associative_math
2494 && commutative_tree_code (code)
2495 && associative_tree_code (code);
2496 }
2497
2498 /* Returns true when PHI contains an argument ARG. */
2499
2500 static bool
2501 phi_contains_arg (gimple phi, tree arg)
2502 {
2503 size_t i;
2504
2505 for (i = 0; i < gimple_phi_num_args (phi); i++)
2506 if (operand_equal_p (arg, gimple_phi_arg_def (phi, i), 0))
2507 return true;
2508
2509 return false;
2510 }
2511
2512 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2513
2514 static gimple
2515 follow_ssa_with_commutative_ops (tree arg, tree lhs)
2516 {
2517 gimple stmt;
2518
2519 if (TREE_CODE (arg) != SSA_NAME)
2520 return NULL;
2521
2522 stmt = SSA_NAME_DEF_STMT (arg);
2523
2524 if (gimple_code (stmt) == GIMPLE_NOP
2525 || gimple_code (stmt) == GIMPLE_CALL)
2526 return NULL;
2527
2528 if (gimple_code (stmt) == GIMPLE_PHI)
2529 {
2530 if (phi_contains_arg (stmt, lhs))
2531 return stmt;
2532 return NULL;
2533 }
2534
2535 if (!is_gimple_assign (stmt))
2536 return NULL;
2537
2538 if (gimple_num_ops (stmt) == 2)
2539 return follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2540
2541 if (is_reduction_operation_p (stmt))
2542 {
2543 gimple res = follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2544
2545 return res ? res :
2546 follow_ssa_with_commutative_ops (gimple_assign_rhs2 (stmt), lhs);
2547 }
2548
2549 return NULL;
2550 }
2551
2552 /* Detect commutative and associative scalar reductions starting at
2553 the STMT. Return the phi node of the reduction cycle, or NULL. */
2554
2555 static gimple
2556 detect_commutative_reduction_arg (tree lhs, gimple stmt, tree arg,
2557 VEC (gimple, heap) **in,
2558 VEC (gimple, heap) **out)
2559 {
2560 gimple phi = follow_ssa_with_commutative_ops (arg, lhs);
2561
2562 if (!phi)
2563 return NULL;
2564
2565 VEC_safe_push (gimple, heap, *in, stmt);
2566 VEC_safe_push (gimple, heap, *out, stmt);
2567 return phi;
2568 }
2569
2570 /* Detect commutative and associative scalar reductions starting at
2571 the STMT. Return the phi node of the reduction cycle, or NULL. */
2572
2573 static gimple
2574 detect_commutative_reduction_assign (gimple stmt, VEC (gimple, heap) **in,
2575 VEC (gimple, heap) **out)
2576 {
2577 tree lhs = gimple_assign_lhs (stmt);
2578
2579 if (gimple_num_ops (stmt) == 2)
2580 return detect_commutative_reduction_arg (lhs, stmt,
2581 gimple_assign_rhs1 (stmt),
2582 in, out);
2583
2584 if (is_reduction_operation_p (stmt))
2585 {
2586 gimple res = detect_commutative_reduction_arg (lhs, stmt,
2587 gimple_assign_rhs1 (stmt),
2588 in, out);
2589 return res ? res
2590 : detect_commutative_reduction_arg (lhs, stmt,
2591 gimple_assign_rhs2 (stmt),
2592 in, out);
2593 }
2594
2595 return NULL;
2596 }
2597
2598 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2599
2600 static gimple
2601 follow_inital_value_to_phi (tree arg, tree lhs)
2602 {
2603 gimple stmt;
2604
2605 if (!arg || TREE_CODE (arg) != SSA_NAME)
2606 return NULL;
2607
2608 stmt = SSA_NAME_DEF_STMT (arg);
2609
2610 if (gimple_code (stmt) == GIMPLE_PHI
2611 && phi_contains_arg (stmt, lhs))
2612 return stmt;
2613
2614 return NULL;
2615 }
2616
2617
2618 /* Return the argument of the loop PHI that is the inital value coming
2619 from outside the loop. */
2620
2621 static edge
2622 edge_initial_value_for_loop_phi (gimple phi)
2623 {
2624 size_t i;
2625
2626 for (i = 0; i < gimple_phi_num_args (phi); i++)
2627 {
2628 edge e = gimple_phi_arg_edge (phi, i);
2629
2630 if (loop_depth (e->src->loop_father)
2631 < loop_depth (e->dest->loop_father))
2632 return e;
2633 }
2634
2635 return NULL;
2636 }
2637
2638 /* Return the argument of the loop PHI that is the inital value coming
2639 from outside the loop. */
2640
2641 static tree
2642 initial_value_for_loop_phi (gimple phi)
2643 {
2644 size_t i;
2645
2646 for (i = 0; i < gimple_phi_num_args (phi); i++)
2647 {
2648 edge e = gimple_phi_arg_edge (phi, i);
2649
2650 if (loop_depth (e->src->loop_father)
2651 < loop_depth (e->dest->loop_father))
2652 return gimple_phi_arg_def (phi, i);
2653 }
2654
2655 return NULL_TREE;
2656 }
2657
2658 /* Detect commutative and associative scalar reductions starting at
2659 the loop closed phi node CLOSE_PHI. Return the phi node of the
2660 reduction cycle, or NULL. */
2661
2662 static gimple
2663 detect_commutative_reduction (gimple stmt, VEC (gimple, heap) **in,
2664 VEC (gimple, heap) **out)
2665 {
2666 if (scalar_close_phi_node_p (stmt))
2667 {
2668 tree arg = gimple_phi_arg_def (stmt, 0);
2669 gimple def, loop_phi;
2670
2671 if (TREE_CODE (arg) != SSA_NAME)
2672 return NULL;
2673
2674 /* Note that loop close phi nodes should have a single argument
2675 because we translated the representation into a canonical form
2676 before Graphite: see canonicalize_loop_closed_ssa_form. */
2677 gcc_assert (gimple_phi_num_args (stmt) == 1);
2678
2679 def = SSA_NAME_DEF_STMT (arg);
2680 loop_phi = detect_commutative_reduction (def, in, out);
2681
2682 if (loop_phi)
2683 {
2684 tree lhs = gimple_phi_result (stmt);
2685 tree init = initial_value_for_loop_phi (loop_phi);
2686 gimple phi = follow_inital_value_to_phi (init, lhs);
2687
2688 VEC_safe_push (gimple, heap, *in, loop_phi);
2689 VEC_safe_push (gimple, heap, *out, stmt);
2690 return phi;
2691 }
2692 else
2693 return NULL;
2694 }
2695
2696 if (gimple_code (stmt) == GIMPLE_ASSIGN)
2697 return detect_commutative_reduction_assign (stmt, in, out);
2698
2699 return NULL;
2700 }
2701
2702 /* Translate the scalar reduction statement STMT to an array RED
2703 knowing that its recursive phi node is LOOP_PHI. */
2704
2705 static void
2706 translate_scalar_reduction_to_array_for_stmt (tree red, gimple stmt,
2707 gimple loop_phi)
2708 {
2709 gimple_stmt_iterator insert_gsi = gsi_after_labels (gimple_bb (loop_phi));
2710 tree res = gimple_phi_result (loop_phi);
2711 gimple assign = gimple_build_assign (res, red);
2712
2713 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2714
2715 insert_gsi = gsi_after_labels (gimple_bb (stmt));
2716 assign = gimple_build_assign (red, gimple_assign_lhs (stmt));
2717 insert_gsi = gsi_for_stmt (stmt);
2718 gsi_insert_after (&insert_gsi, assign, GSI_SAME_STMT);
2719 }
2720
2721 /* Insert the assignment "result (CLOSE_PHI) = RED". */
2722
2723 static void
2724 insert_copyout (tree red, gimple close_phi)
2725 {
2726 tree res = gimple_phi_result (close_phi);
2727 basic_block bb = gimple_bb (close_phi);
2728 gimple_stmt_iterator insert_gsi = gsi_after_labels (bb);
2729 gimple assign = gimple_build_assign (res, red);
2730
2731 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2732 }
2733
2734 /* Insert the assignment "RED = initial_value (LOOP_PHI)". */
2735
2736 static void
2737 insert_copyin (tree red, gimple loop_phi)
2738 {
2739 gimple_seq stmts;
2740 tree init = initial_value_for_loop_phi (loop_phi);
2741 tree expr = build2 (MODIFY_EXPR, TREE_TYPE (init), red, init);
2742
2743 force_gimple_operand (expr, &stmts, true, NULL);
2744 gsi_insert_seq_on_edge (edge_initial_value_for_loop_phi (loop_phi), stmts);
2745 }
2746
2747 /* Removes the PHI node and resets all the debug stmts that are using
2748 the PHI_RESULT. */
2749
2750 static void
2751 remove_phi (gimple phi)
2752 {
2753 imm_use_iterator imm_iter;
2754 tree def;
2755 use_operand_p use_p;
2756 gimple_stmt_iterator gsi;
2757 VEC (gimple, heap) *update = VEC_alloc (gimple, heap, 3);
2758 unsigned int i;
2759 gimple stmt;
2760
2761 def = PHI_RESULT (phi);
2762 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, def)
2763 {
2764 stmt = USE_STMT (use_p);
2765
2766 if (is_gimple_debug (stmt))
2767 {
2768 gimple_debug_bind_reset_value (stmt);
2769 VEC_safe_push (gimple, heap, update, stmt);
2770 }
2771 }
2772
2773 for (i = 0; VEC_iterate (gimple, update, i, stmt); i++)
2774 update_stmt (stmt);
2775
2776 VEC_free (gimple, heap, update);
2777
2778 gsi = gsi_for_phi_node (phi);
2779 remove_phi_node (&gsi, false);
2780 }
2781
2782 /* Rewrite out of SSA the reduction described by the loop phi nodes
2783 IN, and the close phi nodes OUT. IN and OUT are structured by loop
2784 levels like this:
2785
2786 IN: stmt, loop_n, ..., loop_0
2787 OUT: stmt, close_n, ..., close_0
2788
2789 the first element is the reduction statement, and the next elements
2790 are the loop and close phi nodes of each of the outer loops. */
2791
2792 static void
2793 translate_scalar_reduction_to_array (VEC (gimple, heap) *in,
2794 VEC (gimple, heap) *out,
2795 sbitmap reductions)
2796 {
2797 unsigned int i;
2798 gimple loop_phi;
2799 tree red = NULL_TREE;
2800
2801 for (i = 0; VEC_iterate (gimple, in, i, loop_phi); i++)
2802 {
2803 gimple close_phi = VEC_index (gimple, out, i);
2804
2805 if (i == 0)
2806 {
2807 gimple stmt = loop_phi;
2808 basic_block bb = split_reduction_stmt (stmt);
2809
2810 SET_BIT (reductions, bb->index);
2811 gcc_assert (close_phi == loop_phi);
2812
2813 red = create_zero_dim_array
2814 (gimple_assign_lhs (stmt), "Commutative_Associative_Reduction");
2815 translate_scalar_reduction_to_array_for_stmt
2816 (red, stmt, VEC_index (gimple, in, 1));
2817 continue;
2818 }
2819
2820 if (i == VEC_length (gimple, in) - 1)
2821 {
2822 insert_copyout (red, close_phi);
2823 insert_copyin (red, loop_phi);
2824 }
2825
2826 remove_phi (loop_phi);
2827 remove_phi (close_phi);
2828 }
2829 }
2830
2831 /* Rewrites out of SSA a commutative reduction at CLOSE_PHI. */
2832
2833 static void
2834 rewrite_commutative_reductions_out_of_ssa_close_phi (gimple close_phi,
2835 sbitmap reductions)
2836 {
2837 VEC (gimple, heap) *in = VEC_alloc (gimple, heap, 10);
2838 VEC (gimple, heap) *out = VEC_alloc (gimple, heap, 10);
2839
2840 detect_commutative_reduction (close_phi, &in, &out);
2841 if (VEC_length (gimple, in) > 0)
2842 translate_scalar_reduction_to_array (in, out, reductions);
2843
2844 VEC_free (gimple, heap, in);
2845 VEC_free (gimple, heap, out);
2846 }
2847
2848 /* Rewrites all the commutative reductions from LOOP out of SSA. */
2849
2850 static void
2851 rewrite_commutative_reductions_out_of_ssa_loop (loop_p loop,
2852 sbitmap reductions)
2853 {
2854 gimple_stmt_iterator gsi;
2855 edge exit = single_exit (loop);
2856
2857 if (!exit)
2858 return;
2859
2860 for (gsi = gsi_start_phis (exit->dest); !gsi_end_p (gsi); gsi_next (&gsi))
2861 rewrite_commutative_reductions_out_of_ssa_close_phi (gsi_stmt (gsi),
2862 reductions);
2863 }
2864
2865 /* Rewrites all the commutative reductions from SCOP out of SSA. */
2866
2867 static void
2868 rewrite_commutative_reductions_out_of_ssa (sese region, sbitmap reductions)
2869 {
2870 loop_iterator li;
2871 loop_p loop;
2872
2873 FOR_EACH_LOOP (li, loop, 0)
2874 if (loop_in_sese_p (loop, region))
2875 rewrite_commutative_reductions_out_of_ssa_loop (loop, reductions);
2876
2877 gsi_commit_edge_inserts ();
2878 update_ssa (TODO_update_ssa);
2879 #ifdef ENABLE_CHECKING
2880 verify_loop_closed_ssa (true);
2881 #endif
2882 }
2883
2884 /* A LOOP is in normal form for Graphite when it contains only one
2885 scalar phi node that defines the main induction variable of the
2886 loop, only one increment of the IV, and only one exit condition. */
2887
2888 static void
2889 graphite_loop_normal_form (loop_p loop)
2890 {
2891 struct tree_niter_desc niter;
2892 tree nit;
2893 gimple_seq stmts;
2894 edge exit = single_dom_exit (loop);
2895
2896 bool known_niter = number_of_iterations_exit (loop, exit, &niter, false);
2897
2898 /* At this point we should know the number of iterations. */
2899 gcc_assert (known_niter);
2900
2901 nit = force_gimple_operand (unshare_expr (niter.niter), &stmts, true,
2902 NULL_TREE);
2903 if (stmts)
2904 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
2905
2906 loop->single_iv = canonicalize_loop_ivs (loop, &nit, false);
2907 }
2908
2909 /* Rewrite all the loops of SCOP in normal form: one induction
2910 variable per loop. */
2911
2912 static void
2913 scop_canonicalize_loops (scop_p scop)
2914 {
2915 loop_iterator li;
2916 loop_p loop;
2917
2918 FOR_EACH_LOOP (li, loop, 0)
2919 if (loop_in_sese_p (loop, SCOP_REGION (scop)))
2920 graphite_loop_normal_form (loop);
2921 }
2922
2923 /* Java does not initialize long_long_integer_type_node. */
2924 #define my_long_long (long_long_integer_type_node ? long_long_integer_type_node : ssizetype)
2925
2926 /* Can all ivs be represented by a signed integer?
2927 As CLooG might generate negative values in its expressions, signed loop ivs
2928 are required in the backend. */
2929
2930 static bool
2931 scop_ivs_can_be_represented (scop_p scop)
2932 {
2933 loop_iterator li;
2934 loop_p loop;
2935
2936 FOR_EACH_LOOP (li, loop, 0)
2937 {
2938 tree type;
2939 int precision;
2940
2941 if (!loop_in_sese_p (loop, SCOP_REGION (scop)))
2942 continue;
2943
2944 if (!loop->single_iv)
2945 continue;
2946
2947 type = TREE_TYPE (loop->single_iv);
2948 precision = TYPE_PRECISION (type);
2949
2950 if (TYPE_UNSIGNED (type)
2951 && precision >= TYPE_PRECISION (my_long_long))
2952 return false;
2953 }
2954
2955 return true;
2956 }
2957
2958 #undef my_long_long
2959
2960 /* Builds the polyhedral representation for a SESE region. */
2961
2962 void
2963 build_poly_scop (scop_p scop)
2964 {
2965 sese region = SCOP_REGION (scop);
2966 sbitmap reductions = sbitmap_alloc (last_basic_block * 2);
2967 graphite_dim_t max_dim;
2968
2969 sbitmap_zero (reductions);
2970 rewrite_commutative_reductions_out_of_ssa (region, reductions);
2971 rewrite_reductions_out_of_ssa (scop);
2972 build_scop_bbs (scop, reductions);
2973 sbitmap_free (reductions);
2974
2975 /* FIXME: This restriction is needed to avoid a problem in CLooG.
2976 Once CLooG is fixed, remove this guard. Anyways, it makes no
2977 sense to optimize a scop containing only PBBs that do not belong
2978 to any loops. */
2979 if (nb_pbbs_in_loops (scop) == 0)
2980 return;
2981
2982 scop_canonicalize_loops (scop);
2983 if (!scop_ivs_can_be_represented (scop))
2984 return;
2985
2986 build_sese_loop_nests (region);
2987 build_sese_conditions (region);
2988 find_scop_parameters (scop);
2989
2990 max_dim = PARAM_VALUE (PARAM_GRAPHITE_MAX_NB_SCOP_PARAMS);
2991 if (scop_nb_params (scop) > max_dim)
2992 return;
2993
2994 build_scop_iteration_domain (scop);
2995 build_scop_context (scop);
2996
2997 add_conditions_to_constraints (scop);
2998 scop_to_lst (scop);
2999 build_scop_scattering (scop);
3000 build_scop_drs (scop);
3001
3002 /* This SCoP has been translated to the polyhedral
3003 representation. */
3004 POLY_SCOP_P (scop) = true;
3005 }
3006
3007 /* Always return false. Exercise the scop_to_clast function. */
3008
3009 void
3010 check_poly_representation (scop_p scop ATTRIBUTE_UNUSED)
3011 {
3012 #ifdef ENABLE_CHECKING
3013 cloog_prog_clast pc = scop_to_clast (scop);
3014 cloog_clast_free (pc.stmt);
3015 cloog_program_free (pc.prog);
3016 #endif
3017 }
3018 #endif