re PR middle-end/41193 (slow compilation with graphite / ice with graphite)
[gcc.git] / gcc / graphite-sese-to-poly.c
1 /* Conversion of SESE regions to Polyhedra.
2 Copyright (C) 2009 Free Software Foundation, Inc.
3 Contributed by Sebastian Pop <sebastian.pop@amd.com>.
4
5 This file is part of GCC.
6
7 GCC is free software; you can redistribute it and/or modify
8 it under the terms of the GNU General Public License as published by
9 the Free Software Foundation; either version 3, or (at your option)
10 any later version.
11
12 GCC is distributed in the hope that it will be useful,
13 but WITHOUT ANY WARRANTY; without even the implied warranty of
14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 GNU General Public License for more details.
16
17 You should have received a copy of the GNU General Public License
18 along with GCC; see the file COPYING3. If not see
19 <http://www.gnu.org/licenses/>. */
20
21 #include "config.h"
22 #include "system.h"
23 #include "coretypes.h"
24 #include "tm.h"
25 #include "ggc.h"
26 #include "tree.h"
27 #include "rtl.h"
28 #include "basic-block.h"
29 #include "diagnostic.h"
30 #include "tree-flow.h"
31 #include "toplev.h"
32 #include "tree-dump.h"
33 #include "timevar.h"
34 #include "cfgloop.h"
35 #include "tree-chrec.h"
36 #include "tree-data-ref.h"
37 #include "tree-scalar-evolution.h"
38 #include "tree-pass.h"
39 #include "domwalk.h"
40 #include "value-prof.h"
41 #include "pointer-set.h"
42 #include "gimple.h"
43 #include "sese.h"
44
45 #ifdef HAVE_cloog
46 #include "cloog/cloog.h"
47 #include "ppl_c.h"
48 #include "graphite-ppl.h"
49 #include "graphite.h"
50 #include "graphite-poly.h"
51 #include "graphite-scop-detection.h"
52 #include "graphite-clast-to-gimple.h"
53 #include "graphite-sese-to-poly.h"
54
55 /* Check if VAR is used in a phi node, that is no loop header. */
56
57 static bool
58 var_used_in_not_loop_header_phi_node (tree var)
59 {
60 imm_use_iterator imm_iter;
61 gimple stmt;
62 bool result = false;
63
64 FOR_EACH_IMM_USE_STMT (stmt, imm_iter, var)
65 {
66 basic_block bb = gimple_bb (stmt);
67
68 if (gimple_code (stmt) == GIMPLE_PHI
69 && bb->loop_father->header != bb)
70 result = true;
71 }
72
73 return result;
74 }
75
76 /* Returns the index of the phi argument corresponding to the initial
77 value in the loop. */
78
79 static size_t
80 loop_entry_phi_arg (gimple phi)
81 {
82 loop_p loop = gimple_bb (phi)->loop_father;
83 size_t i;
84
85 for (i = 0; i < gimple_phi_num_args (phi); i++)
86 if (!flow_bb_inside_loop_p (loop, gimple_phi_arg_edge (phi, i)->src))
87 return i;
88
89 gcc_unreachable ();
90 return 0;
91 }
92
93 /* Removes a simple copy phi node "RES = phi (INIT, RES)" at position
94 PSI by inserting on the loop ENTRY edge assignment "RES = INIT". */
95
96 static void
97 remove_simple_copy_phi (gimple_stmt_iterator *psi)
98 {
99 gimple phi = gsi_stmt (*psi);
100 tree res = gimple_phi_result (phi);
101 size_t entry = loop_entry_phi_arg (phi);
102 tree init = gimple_phi_arg_def (phi, entry);
103 gimple stmt = gimple_build_assign (res, init);
104 edge e = gimple_phi_arg_edge (phi, entry);
105
106 remove_phi_node (psi, false);
107 gsi_insert_on_edge_immediate (e, stmt);
108 SSA_NAME_DEF_STMT (res) = stmt;
109 }
110
111 /* Removes an invariant phi node at position PSI by inserting on the
112 loop ENTRY edge the assignment RES = INIT. */
113
114 static void
115 remove_invariant_phi (sese region, gimple_stmt_iterator *psi)
116 {
117 gimple phi = gsi_stmt (*psi);
118 loop_p loop = loop_containing_stmt (phi);
119 tree res = gimple_phi_result (phi);
120 tree scev = scalar_evolution_in_region (region, loop, res);
121 size_t entry = loop_entry_phi_arg (phi);
122 edge e = gimple_phi_arg_edge (phi, entry);
123 tree var;
124 gimple stmt;
125 gimple_seq stmts;
126 gimple_stmt_iterator gsi;
127
128 if (tree_contains_chrecs (scev, NULL))
129 scev = gimple_phi_arg_def (phi, entry);
130
131 var = force_gimple_operand (scev, &stmts, true, NULL_TREE);
132 stmt = gimple_build_assign (res, var);
133 remove_phi_node (psi, false);
134
135 if (!stmts)
136 stmts = gimple_seq_alloc ();
137
138 gsi = gsi_last (stmts);
139 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
140 gsi_insert_seq_on_edge (e, stmts);
141 gsi_commit_edge_inserts ();
142 SSA_NAME_DEF_STMT (res) = stmt;
143 }
144
145 /* Returns true when the phi node at PSI is of the form "a = phi (a, x)". */
146
147 static inline bool
148 simple_copy_phi_p (gimple phi)
149 {
150 tree res;
151
152 if (gimple_phi_num_args (phi) != 2)
153 return false;
154
155 res = gimple_phi_result (phi);
156 return (res == gimple_phi_arg_def (phi, 0)
157 || res == gimple_phi_arg_def (phi, 1));
158 }
159
160 /* Returns true when the phi node at position PSI is a reduction phi
161 node in REGION. Otherwise moves the pointer PSI to the next phi to
162 be considered. */
163
164 static bool
165 reduction_phi_p (sese region, gimple_stmt_iterator *psi)
166 {
167 loop_p loop;
168 tree scev;
169 affine_iv iv;
170 gimple phi = gsi_stmt (*psi);
171 tree res = gimple_phi_result (phi);
172
173 if (!is_gimple_reg (res))
174 {
175 gsi_next (psi);
176 return false;
177 }
178
179 loop = loop_containing_stmt (phi);
180
181 if (simple_copy_phi_p (phi))
182 {
183 /* FIXME: PRE introduces phi nodes like these, for an example,
184 see id-5.f in the fortran graphite testsuite:
185
186 # prephitmp.85_265 = PHI <prephitmp.85_258(33), prephitmp.85_265(18)>
187 */
188 remove_simple_copy_phi (psi);
189 return false;
190 }
191
192 /* Main induction variables with constant strides in LOOP are not
193 reductions. */
194 if (simple_iv (loop, loop, res, &iv, true))
195 {
196 if (integer_zerop (iv.step))
197 remove_invariant_phi (region, psi);
198 else
199 gsi_next (psi);
200
201 return false;
202 }
203
204 scev = scalar_evolution_in_region (region, loop, res);
205 if (chrec_contains_undetermined (scev))
206 return true;
207
208 if (evolution_function_is_invariant_p (scev, loop->num))
209 {
210 remove_invariant_phi (region, psi);
211 return false;
212 }
213
214 /* All the other cases are considered reductions. */
215 return true;
216 }
217
218 /* Returns true when BB will be represented in graphite. Return false
219 for the basic blocks that contain code eliminated in the code
220 generation pass: i.e. induction variables and exit conditions. */
221
222 static bool
223 graphite_stmt_p (sese region, basic_block bb,
224 VEC (data_reference_p, heap) *drs)
225 {
226 gimple_stmt_iterator gsi;
227 loop_p loop = bb->loop_father;
228
229 if (VEC_length (data_reference_p, drs) > 0)
230 return true;
231
232 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
233 {
234 gimple stmt = gsi_stmt (gsi);
235
236 switch (gimple_code (stmt))
237 {
238 case GIMPLE_DEBUG:
239 /* Control flow expressions can be ignored, as they are
240 represented in the iteration domains and will be
241 regenerated by graphite. */
242 case GIMPLE_COND:
243 case GIMPLE_GOTO:
244 case GIMPLE_SWITCH:
245 break;
246
247 case GIMPLE_ASSIGN:
248 {
249 tree var = gimple_assign_lhs (stmt);
250
251 /* We need these bbs to be able to construct the phi nodes. */
252 if (var_used_in_not_loop_header_phi_node (var))
253 return true;
254
255 var = scalar_evolution_in_region (region, loop, var);
256 if (chrec_contains_undetermined (var))
257 return true;
258
259 break;
260 }
261
262 default:
263 return true;
264 }
265 }
266
267 return false;
268 }
269
270 /* Store the GRAPHITE representation of BB. */
271
272 static gimple_bb_p
273 new_gimple_bb (basic_block bb, VEC (data_reference_p, heap) *drs)
274 {
275 struct gimple_bb *gbb;
276
277 gbb = XNEW (struct gimple_bb);
278 bb->aux = gbb;
279 GBB_BB (gbb) = bb;
280 GBB_DATA_REFS (gbb) = drs;
281 GBB_CONDITIONS (gbb) = NULL;
282 GBB_CONDITION_CASES (gbb) = NULL;
283 GBB_CLOOG_IV_TYPES (gbb) = NULL;
284
285 return gbb;
286 }
287
288 static void
289 free_data_refs_aux (VEC (data_reference_p, heap) *datarefs)
290 {
291 unsigned int i;
292 struct data_reference *dr;
293
294 for (i = 0; VEC_iterate (data_reference_p, datarefs, i, dr); i++)
295 if (!dr->aux)
296 {
297 free (dr->aux);
298 dr->aux = NULL;
299 }
300 }
301
302 /* Frees GBB. */
303
304 static void
305 free_gimple_bb (struct gimple_bb *gbb)
306 {
307 if (GBB_CLOOG_IV_TYPES (gbb))
308 htab_delete (GBB_CLOOG_IV_TYPES (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 Value v;
519
520 gcc_assert (scattering_dimensions >= used_scattering_dimensions);
521
522 value_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 value_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 value_oppose (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 value_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 value_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 Value v;
618
619 value_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 value_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 value_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 value_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 Value k)
669 {
670 Value val;
671 ppl_Coefficient_t coef;
672
673 ppl_new_Coefficient (&coef);
674 ppl_Linear_Expression_coefficient (expr, d, coef);
675 value_init (val);
676 ppl_Coefficient_to_mpz_t (coef, val);
677
678 value_addto (val, val, k);
679
680 ppl_assign_Coefficient_from_mpz_t (coef, val);
681 ppl_Linear_Expression_add_to_coefficient (expr, d, coef);
682 value_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 Value 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 value_init (val);
712 value_set_si (val, int_cst_value (e));
713 add_value_to_dim (l, expr, val);
714 value_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, Value k)
723 {
724 Value val;
725 ppl_Coefficient_t coef;
726 int v = int_cst_value (cst);
727
728 value_init (val);
729 value_set_si (val, 0);
730
731 /* Necessary to not get "-1 = 2^n - 1". */
732 if (v < 0)
733 value_sub_int (val, val, -v);
734 else
735 value_add_int (val, val, v);
736
737 value_multiply (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 value_clear (val);
742 ppl_delete_Coefficient (coef);
743 }
744
745 /* Saves in NV at index I a new name for variable P. */
746
747 static void
748 save_var_name (char **nv, int i, tree p)
749 {
750 const char *name = get_name (SSA_NAME_VAR (p));
751
752 if (name)
753 {
754 int len = strlen (name) + 16;
755 nv[i] = XNEWVEC (char, len);
756 snprintf (nv[i], len, "%s_%d", name, SSA_NAME_VERSION (p));
757 }
758 else
759 {
760 nv[i] = XNEWVEC (char, 16);
761 snprintf (nv[i], 2 + 16, "T_%d", SSA_NAME_VERSION (p));
762 }
763 }
764
765 /* When parameter NAME is in REGION, returns its index in SESE_PARAMS.
766 Otherwise returns -1. */
767
768 static inline int
769 parameter_index_in_region_1 (tree name, sese region)
770 {
771 int i;
772 tree p;
773
774 gcc_assert (TREE_CODE (name) == SSA_NAME);
775
776 for (i = 0; VEC_iterate (tree, SESE_PARAMS (region), i, p); i++)
777 if (p == name)
778 return i;
779
780 return -1;
781 }
782
783 /* When the parameter NAME is in REGION, returns its index in
784 SESE_PARAMS. Otherwise this function inserts NAME in SESE_PARAMS
785 and returns the index of NAME. */
786
787 static int
788 parameter_index_in_region (tree name, sese region)
789 {
790 int i;
791
792 gcc_assert (TREE_CODE (name) == SSA_NAME);
793
794 i = parameter_index_in_region_1 (name, region);
795 if (i != -1)
796 return i;
797
798 gcc_assert (SESE_ADD_PARAMS (region));
799
800 i = VEC_length (tree, SESE_PARAMS (region));
801 save_var_name (SESE_PARAMS_NAMES (region), i, name);
802 save_clast_name_index (SESE_PARAMS_INDEX (region),
803 SESE_PARAMS_NAMES (region)[i], i);
804 VEC_safe_push (tree, heap, SESE_PARAMS (region), name);
805 return i;
806 }
807
808 /* In the context of sese S, scan the expression E and translate it to
809 a linear expression C. When parsing a symbolic multiplication, K
810 represents the constant multiplier of an expression containing
811 parameters. */
812
813 static void
814 scan_tree_for_params (sese s, tree e, ppl_Linear_Expression_t c,
815 Value k)
816 {
817 if (e == chrec_dont_know)
818 return;
819
820 switch (TREE_CODE (e))
821 {
822 case POLYNOMIAL_CHREC:
823 scan_tree_for_params_right_scev (s, CHREC_RIGHT (e),
824 CHREC_VARIABLE (e), c);
825 scan_tree_for_params (s, CHREC_LEFT (e), c, k);
826 break;
827
828 case MULT_EXPR:
829 if (chrec_contains_symbols (TREE_OPERAND (e, 0)))
830 {
831 if (c)
832 {
833 Value val;
834 gcc_assert (host_integerp (TREE_OPERAND (e, 1), 0));
835 value_init (val);
836 value_set_si (val, int_cst_value (TREE_OPERAND (e, 1)));
837 value_multiply (val, val, k);
838 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, val);
839 value_clear (val);
840 }
841 else
842 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
843 }
844 else
845 {
846 if (c)
847 {
848 Value val;
849 gcc_assert (host_integerp (TREE_OPERAND (e, 0), 0));
850 value_init (val);
851 value_set_si (val, int_cst_value (TREE_OPERAND (e, 0)));
852 value_multiply (val, val, k);
853 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, val);
854 value_clear (val);
855 }
856 else
857 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
858 }
859 break;
860
861 case PLUS_EXPR:
862 case POINTER_PLUS_EXPR:
863 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
864 scan_tree_for_params (s, TREE_OPERAND (e, 1), c, k);
865 break;
866
867 case MINUS_EXPR:
868 {
869 ppl_Linear_Expression_t tmp_expr = NULL;
870
871 if (c)
872 {
873 ppl_dimension_type dim;
874 ppl_Linear_Expression_space_dimension (c, &dim);
875 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
876 }
877
878 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
879 scan_tree_for_params (s, TREE_OPERAND (e, 1), 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 NEGATE_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_subtract_Linear_Expression_from_Linear_Expression (c,
907 tmp_expr);
908 ppl_delete_Linear_Expression (tmp_expr);
909 }
910
911 break;
912 }
913
914 case BIT_NOT_EXPR:
915 {
916 ppl_Linear_Expression_t tmp_expr = NULL;
917
918 if (c)
919 {
920 ppl_dimension_type dim;
921 ppl_Linear_Expression_space_dimension (c, &dim);
922 ppl_new_Linear_Expression_with_dimension (&tmp_expr, dim);
923 }
924
925 scan_tree_for_params (s, TREE_OPERAND (e, 0), tmp_expr, k);
926
927 if (c)
928 {
929 ppl_Coefficient_t coef;
930 Value minus_one;
931
932 ppl_subtract_Linear_Expression_from_Linear_Expression (c,
933 tmp_expr);
934 ppl_delete_Linear_Expression (tmp_expr);
935 value_init (minus_one);
936 value_set_si (minus_one, -1);
937 ppl_new_Coefficient_from_mpz_t (&coef, minus_one);
938 ppl_Linear_Expression_add_to_inhomogeneous (c, coef);
939 value_clear (minus_one);
940 ppl_delete_Coefficient (coef);
941 }
942
943 break;
944 }
945
946 case SSA_NAME:
947 {
948 ppl_dimension_type p = parameter_index_in_region (e, s);
949
950 if (c)
951 {
952 ppl_dimension_type dim;
953 ppl_Linear_Expression_space_dimension (c, &dim);
954 p += dim - sese_nb_params (s);
955 add_value_to_dim (p, c, k);
956 }
957 break;
958 }
959
960 case INTEGER_CST:
961 if (c)
962 scan_tree_for_params_int (e, c, k);
963 break;
964
965 CASE_CONVERT:
966 case NON_LVALUE_EXPR:
967 scan_tree_for_params (s, TREE_OPERAND (e, 0), c, k);
968 break;
969
970 default:
971 gcc_unreachable ();
972 break;
973 }
974 }
975
976 /* Find parameters with respect to REGION in BB. We are looking in memory
977 access functions, conditions and loop bounds. */
978
979 static void
980 find_params_in_bb (sese region, gimple_bb_p gbb)
981 {
982 int i;
983 unsigned j;
984 data_reference_p dr;
985 gimple stmt;
986 loop_p loop = GBB_BB (gbb)->loop_father;
987 Value one;
988
989 value_init (one);
990 value_set_si (one, 1);
991
992 /* Find parameters in the access functions of data references. */
993 for (i = 0; VEC_iterate (data_reference_p, GBB_DATA_REFS (gbb), i, dr); i++)
994 for (j = 0; j < DR_NUM_DIMENSIONS (dr); j++)
995 scan_tree_for_params (region, DR_ACCESS_FN (dr, j), NULL, one);
996
997 /* Find parameters in conditional statements. */
998 for (i = 0; VEC_iterate (gimple, GBB_CONDITIONS (gbb), i, stmt); i++)
999 {
1000 tree lhs = scalar_evolution_in_region (region, loop,
1001 gimple_cond_lhs (stmt));
1002 tree rhs = scalar_evolution_in_region (region, loop,
1003 gimple_cond_rhs (stmt));
1004
1005 scan_tree_for_params (region, lhs, NULL, one);
1006 scan_tree_for_params (region, rhs, NULL, one);
1007 }
1008
1009 value_clear (one);
1010 }
1011
1012 /* Record the parameters used in the SCOP. A variable is a parameter
1013 in a scop if it does not vary during the execution of that scop. */
1014
1015 static void
1016 find_scop_parameters (scop_p scop)
1017 {
1018 poly_bb_p pbb;
1019 unsigned i;
1020 sese region = SCOP_REGION (scop);
1021 struct loop *loop;
1022 Value one;
1023
1024 value_init (one);
1025 value_set_si (one, 1);
1026
1027 /* Find the parameters used in the loop bounds. */
1028 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1029 {
1030 tree nb_iters = number_of_latch_executions (loop);
1031
1032 if (!chrec_contains_symbols (nb_iters))
1033 continue;
1034
1035 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1036 scan_tree_for_params (region, nb_iters, NULL, one);
1037 }
1038
1039 value_clear (one);
1040
1041 /* Find the parameters used in data accesses. */
1042 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1043 find_params_in_bb (region, PBB_BLACK_BOX (pbb));
1044
1045 scop_set_nb_params (scop, sese_nb_params (region));
1046 SESE_ADD_PARAMS (region) = false;
1047 }
1048
1049 /* Returns a gimple_bb from BB. */
1050
1051 static inline gimple_bb_p
1052 gbb_from_bb (basic_block bb)
1053 {
1054 return (gimple_bb_p) bb->aux;
1055 }
1056
1057 /* Builds the constraint polyhedra for LOOP in SCOP. OUTER_PH gives
1058 the constraints for the surrounding loops. */
1059
1060 static void
1061 build_loop_iteration_domains (scop_p scop, struct loop *loop,
1062 ppl_Polyhedron_t outer_ph, int nb)
1063 {
1064 int i;
1065 ppl_Polyhedron_t ph;
1066 tree nb_iters = number_of_latch_executions (loop);
1067 ppl_dimension_type dim = nb + 1 + scop_nb_params (scop);
1068 sese region = SCOP_REGION (scop);
1069
1070 {
1071 ppl_const_Constraint_System_t pcs;
1072 ppl_dimension_type *map
1073 = (ppl_dimension_type *) XNEWVEC (ppl_dimension_type, dim);
1074
1075 ppl_new_C_Polyhedron_from_space_dimension (&ph, dim, 0);
1076 ppl_Polyhedron_get_constraints (outer_ph, &pcs);
1077 ppl_Polyhedron_add_constraints (ph, pcs);
1078
1079 for (i = 0; i < (int) nb; i++)
1080 map[i] = i;
1081 for (i = (int) nb; i < (int) dim - 1; i++)
1082 map[i] = i + 1;
1083 map[dim - 1] = nb;
1084
1085 ppl_Polyhedron_map_space_dimensions (ph, map, dim);
1086 free (map);
1087 }
1088
1089 /* 0 <= loop_i */
1090 {
1091 ppl_Constraint_t lb;
1092 ppl_Linear_Expression_t lb_expr;
1093
1094 ppl_new_Linear_Expression_with_dimension (&lb_expr, dim);
1095 ppl_set_coef (lb_expr, nb, 1);
1096 ppl_new_Constraint (&lb, lb_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1097 ppl_delete_Linear_Expression (lb_expr);
1098 ppl_Polyhedron_add_constraint (ph, lb);
1099 ppl_delete_Constraint (lb);
1100 }
1101
1102 if (TREE_CODE (nb_iters) == INTEGER_CST)
1103 {
1104 ppl_Constraint_t ub;
1105 ppl_Linear_Expression_t ub_expr;
1106
1107 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1108
1109 /* loop_i <= cst_nb_iters */
1110 ppl_set_coef (ub_expr, nb, -1);
1111 ppl_set_inhomogeneous_tree (ub_expr, nb_iters);
1112 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1113 ppl_Polyhedron_add_constraint (ph, ub);
1114 ppl_delete_Linear_Expression (ub_expr);
1115 ppl_delete_Constraint (ub);
1116 }
1117 else if (!chrec_contains_undetermined (nb_iters))
1118 {
1119 Value one;
1120 ppl_Constraint_t ub;
1121 ppl_Linear_Expression_t ub_expr;
1122
1123 value_init (one);
1124 value_set_si (one, 1);
1125 ppl_new_Linear_Expression_with_dimension (&ub_expr, dim);
1126 nb_iters = scalar_evolution_in_region (region, loop, nb_iters);
1127 scan_tree_for_params (SCOP_REGION (scop), nb_iters, ub_expr, one);
1128 value_clear (one);
1129
1130 /* loop_i <= expr_nb_iters */
1131 ppl_set_coef (ub_expr, nb, -1);
1132 ppl_new_Constraint (&ub, ub_expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1133 ppl_Polyhedron_add_constraint (ph, ub);
1134 ppl_delete_Linear_Expression (ub_expr);
1135 ppl_delete_Constraint (ub);
1136 }
1137 else
1138 gcc_unreachable ();
1139
1140 if (loop->inner && loop_in_sese_p (loop->inner, region))
1141 build_loop_iteration_domains (scop, loop->inner, ph, nb + 1);
1142
1143 if (nb != 0
1144 && loop->next
1145 && loop_in_sese_p (loop->next, region))
1146 build_loop_iteration_domains (scop, loop->next, outer_ph, nb);
1147
1148 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1149 ((ppl_Pointset_Powerset_C_Polyhedron_t *) &loop->aux, ph);
1150
1151 ppl_delete_Polyhedron (ph);
1152 }
1153
1154 /* Returns a linear expression for tree T evaluated in PBB. */
1155
1156 static ppl_Linear_Expression_t
1157 create_linear_expr_from_tree (poly_bb_p pbb, tree t)
1158 {
1159 Value one;
1160 ppl_Linear_Expression_t res;
1161 ppl_dimension_type dim;
1162 sese region = SCOP_REGION (PBB_SCOP (pbb));
1163 loop_p loop = pbb_loop (pbb);
1164
1165 dim = pbb_dim_iter_domain (pbb) + pbb_nb_params (pbb);
1166 ppl_new_Linear_Expression_with_dimension (&res, dim);
1167
1168 t = scalar_evolution_in_region (region, loop, t);
1169 gcc_assert (!automatically_generated_chrec_p (t));
1170
1171 value_init (one);
1172 value_set_si (one, 1);
1173 scan_tree_for_params (region, t, res, one);
1174 value_clear (one);
1175
1176 return res;
1177 }
1178
1179 /* Returns the ppl constraint type from the gimple tree code CODE. */
1180
1181 static enum ppl_enum_Constraint_Type
1182 ppl_constraint_type_from_tree_code (enum tree_code code)
1183 {
1184 switch (code)
1185 {
1186 /* We do not support LT and GT to be able to work with C_Polyhedron.
1187 As we work on integer polyhedron "a < b" can be expressed by
1188 "a + 1 <= b". */
1189 case LT_EXPR:
1190 case GT_EXPR:
1191 gcc_unreachable ();
1192
1193 case LE_EXPR:
1194 return PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL;
1195
1196 case GE_EXPR:
1197 return PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL;
1198
1199 case EQ_EXPR:
1200 return PPL_CONSTRAINT_TYPE_EQUAL;
1201
1202 default:
1203 gcc_unreachable ();
1204 }
1205 }
1206
1207 /* Add conditional statement STMT to PS. It is evaluated in PBB and
1208 CODE is used as the comparison operator. This allows us to invert the
1209 condition or to handle inequalities. */
1210
1211 static void
1212 add_condition_to_domain (ppl_Pointset_Powerset_C_Polyhedron_t ps, gimple stmt,
1213 poly_bb_p pbb, enum tree_code code)
1214 {
1215 Value v;
1216 ppl_Coefficient_t c;
1217 ppl_Linear_Expression_t left, right;
1218 ppl_Constraint_t cstr;
1219 enum ppl_enum_Constraint_Type type;
1220
1221 left = create_linear_expr_from_tree (pbb, gimple_cond_lhs (stmt));
1222 right = create_linear_expr_from_tree (pbb, gimple_cond_rhs (stmt));
1223
1224 /* If we have < or > expressions convert them to <= or >= by adding 1 to
1225 the left or the right side of the expression. */
1226 if (code == LT_EXPR)
1227 {
1228 value_init (v);
1229 value_set_si (v, 1);
1230 ppl_new_Coefficient (&c);
1231 ppl_assign_Coefficient_from_mpz_t (c, v);
1232 ppl_Linear_Expression_add_to_inhomogeneous (left, c);
1233 ppl_delete_Coefficient (c);
1234 value_clear (v);
1235
1236 code = LE_EXPR;
1237 }
1238 else if (code == GT_EXPR)
1239 {
1240 value_init (v);
1241 value_set_si (v, 1);
1242 ppl_new_Coefficient (&c);
1243 ppl_assign_Coefficient_from_mpz_t (c, v);
1244 ppl_Linear_Expression_add_to_inhomogeneous (right, c);
1245 ppl_delete_Coefficient (c);
1246 value_clear (v);
1247
1248 code = GE_EXPR;
1249 }
1250
1251 type = ppl_constraint_type_from_tree_code (code);
1252
1253 ppl_subtract_Linear_Expression_from_Linear_Expression (left, right);
1254
1255 ppl_new_Constraint (&cstr, left, type);
1256 ppl_Pointset_Powerset_C_Polyhedron_add_constraint (ps, cstr);
1257
1258 ppl_delete_Constraint (cstr);
1259 ppl_delete_Linear_Expression (left);
1260 ppl_delete_Linear_Expression (right);
1261 }
1262
1263 /* Add conditional statement STMT to pbb. CODE is used as the comparision
1264 operator. This allows us to invert the condition or to handle
1265 inequalities. */
1266
1267 static void
1268 add_condition_to_pbb (poly_bb_p pbb, gimple stmt, enum tree_code code)
1269 {
1270 if (code == NE_EXPR)
1271 {
1272 ppl_Pointset_Powerset_C_Polyhedron_t left = PBB_DOMAIN (pbb);
1273 ppl_Pointset_Powerset_C_Polyhedron_t right;
1274 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1275 (&right, left);
1276 add_condition_to_domain (left, stmt, pbb, LT_EXPR);
1277 add_condition_to_domain (right, stmt, pbb, GT_EXPR);
1278 ppl_Pointset_Powerset_C_Polyhedron_upper_bound_assign (left,
1279 right);
1280 ppl_delete_Pointset_Powerset_C_Polyhedron (right);
1281 }
1282 else
1283 add_condition_to_domain (PBB_DOMAIN (pbb), stmt, pbb, code);
1284 }
1285
1286 /* Add conditions to the domain of PBB. */
1287
1288 static void
1289 add_conditions_to_domain (poly_bb_p pbb)
1290 {
1291 unsigned int i;
1292 gimple stmt;
1293 gimple_bb_p gbb = PBB_BLACK_BOX (pbb);
1294 VEC (gimple, heap) *conditions = GBB_CONDITIONS (gbb);
1295
1296 if (VEC_empty (gimple, conditions))
1297 return;
1298
1299 for (i = 0; VEC_iterate (gimple, conditions, i, stmt); i++)
1300 switch (gimple_code (stmt))
1301 {
1302 case GIMPLE_COND:
1303 {
1304 enum tree_code code = gimple_cond_code (stmt);
1305
1306 /* The conditions for ELSE-branches are inverted. */
1307 if (VEC_index (gimple, gbb->condition_cases, i) == NULL)
1308 code = invert_tree_comparison (code, false);
1309
1310 add_condition_to_pbb (pbb, stmt, code);
1311 break;
1312 }
1313
1314 case GIMPLE_SWITCH:
1315 /* Switch statements are not supported right now - fall throught. */
1316
1317 default:
1318 gcc_unreachable ();
1319 break;
1320 }
1321 }
1322
1323 /* Structure used to pass data to dom_walk. */
1324
1325 struct bsc
1326 {
1327 VEC (gimple, heap) **conditions, **cases;
1328 sese region;
1329 };
1330
1331 /* Returns non NULL when BB has a single predecessor and the last
1332 statement of that predecessor is a COND_EXPR. */
1333
1334 static gimple
1335 single_pred_cond (basic_block bb)
1336 {
1337 if (single_pred_p (bb))
1338 {
1339 edge e = single_pred_edge (bb);
1340 basic_block pred = e->src;
1341 gimple stmt = last_stmt (pred);
1342
1343 if (stmt && gimple_code (stmt) == GIMPLE_COND)
1344 return stmt;
1345 }
1346 return NULL;
1347 }
1348
1349 /* Call-back for dom_walk executed before visiting the dominated
1350 blocks. */
1351
1352 static void
1353 build_sese_conditions_before (struct dom_walk_data *dw_data,
1354 basic_block bb)
1355 {
1356 struct bsc *data = (struct bsc *) dw_data->global_data;
1357 VEC (gimple, heap) **conditions = data->conditions;
1358 VEC (gimple, heap) **cases = data->cases;
1359 gimple_bb_p gbb = gbb_from_bb (bb);
1360 gimple stmt = single_pred_cond (bb);
1361
1362 if (!bb_in_sese_p (bb, data->region))
1363 return;
1364
1365 if (stmt)
1366 {
1367 edge e = single_pred_edge (bb);
1368
1369 VEC_safe_push (gimple, heap, *conditions, stmt);
1370
1371 if (e->flags & EDGE_TRUE_VALUE)
1372 VEC_safe_push (gimple, heap, *cases, stmt);
1373 else
1374 VEC_safe_push (gimple, heap, *cases, NULL);
1375 }
1376
1377 if (gbb)
1378 {
1379 GBB_CONDITIONS (gbb) = VEC_copy (gimple, heap, *conditions);
1380 GBB_CONDITION_CASES (gbb) = VEC_copy (gimple, heap, *cases);
1381 }
1382 }
1383
1384 /* Call-back for dom_walk executed after visiting the dominated
1385 blocks. */
1386
1387 static void
1388 build_sese_conditions_after (struct dom_walk_data *dw_data,
1389 basic_block bb)
1390 {
1391 struct bsc *data = (struct bsc *) dw_data->global_data;
1392 VEC (gimple, heap) **conditions = data->conditions;
1393 VEC (gimple, heap) **cases = data->cases;
1394
1395 if (!bb_in_sese_p (bb, data->region))
1396 return;
1397
1398 if (single_pred_cond (bb))
1399 {
1400 VEC_pop (gimple, *conditions);
1401 VEC_pop (gimple, *cases);
1402 }
1403 }
1404
1405 /* Record all conditions in REGION. */
1406
1407 static void
1408 build_sese_conditions (sese region)
1409 {
1410 struct dom_walk_data walk_data;
1411 VEC (gimple, heap) *conditions = VEC_alloc (gimple, heap, 3);
1412 VEC (gimple, heap) *cases = VEC_alloc (gimple, heap, 3);
1413 struct bsc data;
1414
1415 data.conditions = &conditions;
1416 data.cases = &cases;
1417 data.region = region;
1418
1419 walk_data.dom_direction = CDI_DOMINATORS;
1420 walk_data.initialize_block_local_data = NULL;
1421 walk_data.before_dom_children = build_sese_conditions_before;
1422 walk_data.after_dom_children = build_sese_conditions_after;
1423 walk_data.global_data = &data;
1424 walk_data.block_local_data_size = 0;
1425
1426 init_walk_dominator_tree (&walk_data);
1427 walk_dominator_tree (&walk_data, SESE_ENTRY_BB (region));
1428 fini_walk_dominator_tree (&walk_data);
1429
1430 VEC_free (gimple, heap, conditions);
1431 VEC_free (gimple, heap, cases);
1432 }
1433
1434 /* Traverses all the GBBs of the SCOP and add their constraints to the
1435 iteration domains. */
1436
1437 static void
1438 add_conditions_to_constraints (scop_p scop)
1439 {
1440 int i;
1441 poly_bb_p pbb;
1442
1443 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1444 add_conditions_to_domain (pbb);
1445 }
1446
1447 /* Add constraints on the possible values of parameter P from the type
1448 of P. */
1449
1450 static void
1451 add_param_constraints (scop_p scop, ppl_Polyhedron_t context, graphite_dim_t p)
1452 {
1453 ppl_Constraint_t cstr;
1454 ppl_Linear_Expression_t le;
1455 tree parameter = VEC_index (tree, SESE_PARAMS (SCOP_REGION (scop)), p);
1456 tree type = TREE_TYPE (parameter);
1457 tree lb, ub;
1458
1459 /* Disabled until we fix CPU2006. */
1460 return;
1461
1462 if (!INTEGRAL_TYPE_P (type))
1463 return;
1464
1465 lb = TYPE_MIN_VALUE (type);
1466 ub = TYPE_MAX_VALUE (type);
1467
1468 if (lb)
1469 {
1470 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1471 ppl_set_coef (le, p, -1);
1472 ppl_set_inhomogeneous_tree (le, lb);
1473 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_LESS_OR_EQUAL);
1474 ppl_Polyhedron_add_constraint (context, cstr);
1475 ppl_delete_Linear_Expression (le);
1476 ppl_delete_Constraint (cstr);
1477 }
1478
1479 if (ub)
1480 {
1481 ppl_new_Linear_Expression_with_dimension (&le, scop_nb_params (scop));
1482 ppl_set_coef (le, p, -1);
1483 ppl_set_inhomogeneous_tree (le, ub);
1484 ppl_new_Constraint (&cstr, le, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1485 ppl_Polyhedron_add_constraint (context, cstr);
1486 ppl_delete_Linear_Expression (le);
1487 ppl_delete_Constraint (cstr);
1488 }
1489 }
1490
1491 /* Build the context of the SCOP. The context usually contains extra
1492 constraints that are added to the iteration domains that constrain
1493 some parameters. */
1494
1495 static void
1496 build_scop_context (scop_p scop)
1497 {
1498 ppl_Polyhedron_t context;
1499 graphite_dim_t p, n = scop_nb_params (scop);
1500
1501 ppl_new_C_Polyhedron_from_space_dimension (&context, n, 0);
1502
1503 for (p = 0; p < n; p++)
1504 add_param_constraints (scop, context, p);
1505
1506 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1507 (&SCOP_CONTEXT (scop), context);
1508
1509 ppl_delete_Polyhedron (context);
1510 }
1511
1512 /* Build the iteration domains: the loops belonging to the current
1513 SCOP, and that vary for the execution of the current basic block.
1514 Returns false if there is no loop in SCOP. */
1515
1516 static void
1517 build_scop_iteration_domain (scop_p scop)
1518 {
1519 struct loop *loop;
1520 sese region = SCOP_REGION (scop);
1521 int i;
1522 ppl_Polyhedron_t ph;
1523 poly_bb_p pbb;
1524
1525 ppl_new_C_Polyhedron_from_space_dimension (&ph, scop_nb_params (scop), 0);
1526
1527 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1528 if (!loop_in_sese_p (loop_outer (loop), region))
1529 build_loop_iteration_domains (scop, loop, ph, 0);
1530
1531 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1532 if (gbb_loop (PBB_BLACK_BOX (pbb))->aux)
1533 ppl_new_Pointset_Powerset_C_Polyhedron_from_Pointset_Powerset_C_Polyhedron
1534 (&PBB_DOMAIN (pbb), (ppl_const_Pointset_Powerset_C_Polyhedron_t)
1535 gbb_loop (PBB_BLACK_BOX (pbb))->aux);
1536 else
1537 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron
1538 (&PBB_DOMAIN (pbb), ph);
1539
1540 for (i = 0; VEC_iterate (loop_p, SESE_LOOP_NEST (region), i, loop); i++)
1541 if (loop->aux)
1542 {
1543 ppl_delete_Pointset_Powerset_C_Polyhedron
1544 ((ppl_Pointset_Powerset_C_Polyhedron_t) loop->aux);
1545 loop->aux = NULL;
1546 }
1547
1548 ppl_delete_Polyhedron (ph);
1549 }
1550
1551 /* Add a constrain to the ACCESSES polyhedron for the alias set of
1552 data reference DR. ACCESSP_NB_DIMS is the dimension of the
1553 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1554 domain. */
1555
1556 static void
1557 pdr_add_alias_set (ppl_Polyhedron_t accesses, data_reference_p dr,
1558 ppl_dimension_type accessp_nb_dims,
1559 ppl_dimension_type dom_nb_dims)
1560 {
1561 ppl_Linear_Expression_t alias;
1562 ppl_Constraint_t cstr;
1563 int alias_set_num = 0;
1564
1565 if (dr->aux != NULL)
1566 alias_set_num = ((int *)(dr->aux))[ALIAS_SET_INDEX];
1567
1568 ppl_new_Linear_Expression_with_dimension (&alias, accessp_nb_dims);
1569
1570 ppl_set_coef (alias, dom_nb_dims, 1);
1571 ppl_set_inhomogeneous (alias, -alias_set_num);
1572 ppl_new_Constraint (&cstr, alias, PPL_CONSTRAINT_TYPE_EQUAL);
1573 ppl_Polyhedron_add_constraint (accesses, cstr);
1574
1575 ppl_delete_Linear_Expression (alias);
1576 ppl_delete_Constraint (cstr);
1577 }
1578
1579 /* Add to ACCESSES polyhedron equalities defining the access functions
1580 to the memory. ACCESSP_NB_DIMS is the dimension of the ACCESSES
1581 polyhedron, DOM_NB_DIMS is the dimension of the iteration domain.
1582 PBB is the poly_bb_p that contains the data reference DR. */
1583
1584 static void
1585 pdr_add_memory_accesses (ppl_Polyhedron_t accesses, data_reference_p dr,
1586 ppl_dimension_type accessp_nb_dims,
1587 ppl_dimension_type dom_nb_dims,
1588 poly_bb_p pbb)
1589 {
1590 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1591 Value v;
1592 scop_p scop = PBB_SCOP (pbb);
1593 sese region = SCOP_REGION (scop);
1594
1595 value_init (v);
1596
1597 for (i = 0; i < nb_subscripts; i++)
1598 {
1599 ppl_Linear_Expression_t fn, access;
1600 ppl_Constraint_t cstr;
1601 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1602 tree afn = DR_ACCESS_FN (dr, nb_subscripts - 1 - i);
1603
1604 ppl_new_Linear_Expression_with_dimension (&fn, dom_nb_dims);
1605 ppl_new_Linear_Expression_with_dimension (&access, accessp_nb_dims);
1606
1607 value_set_si (v, 1);
1608 scan_tree_for_params (region, afn, fn, v);
1609 ppl_assign_Linear_Expression_from_Linear_Expression (access, fn);
1610
1611 ppl_set_coef (access, subscript, -1);
1612 ppl_new_Constraint (&cstr, access, PPL_CONSTRAINT_TYPE_EQUAL);
1613 ppl_Polyhedron_add_constraint (accesses, cstr);
1614
1615 ppl_delete_Linear_Expression (fn);
1616 ppl_delete_Linear_Expression (access);
1617 ppl_delete_Constraint (cstr);
1618 }
1619
1620 value_clear (v);
1621 }
1622
1623 /* Add constrains representing the size of the accessed data to the
1624 ACCESSES polyhedron. ACCESSP_NB_DIMS is the dimension of the
1625 ACCESSES polyhedron, DOM_NB_DIMS is the dimension of the iteration
1626 domain. */
1627
1628 static void
1629 pdr_add_data_dimensions (ppl_Polyhedron_t accesses, data_reference_p dr,
1630 ppl_dimension_type accessp_nb_dims,
1631 ppl_dimension_type dom_nb_dims)
1632 {
1633 tree ref = DR_REF (dr);
1634 int i, nb_subscripts = DR_NUM_DIMENSIONS (dr);
1635
1636 for (i = nb_subscripts - 1; i >= 0; i--, ref = TREE_OPERAND (ref, 0))
1637 {
1638 ppl_Linear_Expression_t expr;
1639 ppl_Constraint_t cstr;
1640 ppl_dimension_type subscript = dom_nb_dims + 1 + i;
1641 tree low, high;
1642
1643 if (TREE_CODE (ref) != ARRAY_REF)
1644 break;
1645
1646 low = array_ref_low_bound (ref);
1647
1648 /* subscript - low >= 0 */
1649 if (host_integerp (low, 0))
1650 {
1651 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1652 ppl_set_coef (expr, subscript, 1);
1653
1654 ppl_set_inhomogeneous (expr, -int_cst_value (low));
1655
1656 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1657 ppl_Polyhedron_add_constraint (accesses, cstr);
1658 ppl_delete_Linear_Expression (expr);
1659 ppl_delete_Constraint (cstr);
1660 }
1661
1662 high = array_ref_up_bound (ref);
1663
1664 /* high - subscript >= 0
1665 XXX: 1-element arrays at end of structures may extend over their
1666 declared size. */
1667 if (high && host_integerp (high, 0))
1668 {
1669 ppl_new_Linear_Expression_with_dimension (&expr, accessp_nb_dims);
1670 ppl_set_coef (expr, subscript, -1);
1671
1672 ppl_set_inhomogeneous (expr, int_cst_value (high));
1673
1674 ppl_new_Constraint (&cstr, expr, PPL_CONSTRAINT_TYPE_GREATER_OR_EQUAL);
1675 ppl_Polyhedron_add_constraint (accesses, cstr);
1676 ppl_delete_Linear_Expression (expr);
1677 ppl_delete_Constraint (cstr);
1678 }
1679 }
1680 }
1681
1682 /* Build data accesses for DR in PBB. */
1683
1684 static void
1685 build_poly_dr (data_reference_p dr, poly_bb_p pbb)
1686 {
1687 ppl_Polyhedron_t accesses;
1688 ppl_Pointset_Powerset_C_Polyhedron_t accesses_ps;
1689 ppl_dimension_type dom_nb_dims;
1690 ppl_dimension_type accessp_nb_dims;
1691 int dr_base_object_set;
1692
1693 ppl_Pointset_Powerset_C_Polyhedron_space_dimension (PBB_DOMAIN (pbb),
1694 &dom_nb_dims);
1695 accessp_nb_dims = dom_nb_dims + 1 + DR_NUM_DIMENSIONS (dr);
1696
1697 ppl_new_C_Polyhedron_from_space_dimension (&accesses, accessp_nb_dims, 0);
1698
1699 pdr_add_alias_set (accesses, dr, accessp_nb_dims, dom_nb_dims);
1700 pdr_add_memory_accesses (accesses, dr, accessp_nb_dims, dom_nb_dims, pbb);
1701 pdr_add_data_dimensions (accesses, dr, accessp_nb_dims, dom_nb_dims);
1702
1703 ppl_new_Pointset_Powerset_C_Polyhedron_from_C_Polyhedron (&accesses_ps,
1704 accesses);
1705 ppl_delete_Polyhedron (accesses);
1706
1707 dr_base_object_set = ((int *)(dr->aux))[BASE_OBJECT_SET_INDEX];
1708
1709 new_poly_dr (pbb, dr_base_object_set, accesses_ps, DR_IS_READ (dr) ? PDR_READ : PDR_WRITE,
1710 dr, DR_NUM_DIMENSIONS (dr));
1711 }
1712
1713 /* Write to FILE the alias graph of data references in DIMACS format. */
1714
1715 static inline bool
1716 write_alias_graph_to_ascii_dimacs (FILE *file, char *comment,
1717 VEC (data_reference_p, heap) *drs)
1718 {
1719 int num_vertex = VEC_length (data_reference_p, drs);
1720 int edge_num = 0;
1721 data_reference_p dr1, dr2;
1722 int i, j;
1723
1724 if (num_vertex == 0)
1725 return true;
1726
1727 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1728 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1729 if (dr_may_alias_p (dr1, dr2))
1730 edge_num++;
1731
1732 fprintf (file, "$\n");
1733
1734 if (comment)
1735 fprintf (file, "c %s\n", comment);
1736
1737 fprintf (file, "p edge %d %d\n", num_vertex, edge_num);
1738
1739 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1740 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1741 if (dr_may_alias_p (dr1, dr2))
1742 fprintf (file, "e %d %d\n", i + 1, j + 1);
1743
1744 return true;
1745 }
1746
1747 /* Write to FILE the alias graph of data references in DOT format. */
1748
1749 static inline bool
1750 write_alias_graph_to_ascii_dot (FILE *file, char *comment,
1751 VEC (data_reference_p, heap) *drs)
1752 {
1753 int num_vertex = VEC_length (data_reference_p, drs);
1754 data_reference_p dr1, dr2;
1755 int i, j;
1756
1757 if (num_vertex == 0)
1758 return true;
1759
1760 fprintf (file, "$\n");
1761
1762 if (comment)
1763 fprintf (file, "c %s\n", comment);
1764
1765 /* First print all the vertices. */
1766 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1767 fprintf (file, "n%d;\n", i);
1768
1769 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1770 for (j = i + 1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1771 if (dr_may_alias_p (dr1, dr2))
1772 fprintf (file, "n%d n%d\n", i, j);
1773
1774 return true;
1775 }
1776
1777 /* Write to FILE the alias graph of data references in ECC format. */
1778
1779 static inline bool
1780 write_alias_graph_to_ascii_ecc (FILE *file, char *comment,
1781 VEC (data_reference_p, heap) *drs)
1782 {
1783 int num_vertex = VEC_length (data_reference_p, drs);
1784 data_reference_p dr1, dr2;
1785 int i, j;
1786
1787 if (num_vertex == 0)
1788 return true;
1789
1790 fprintf (file, "$\n");
1791
1792 if (comment)
1793 fprintf (file, "c %s\n", comment);
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 fprintf (file, "%d %d\n", i, j);
1799
1800 return true;
1801 }
1802
1803
1804 /* Uses DFS component number as representative of alias-sets. Also tests for
1805 optimality by verifying if every connected component is a clique. Returns
1806 true (1) if the above test is true, and false (0) otherwise. */
1807
1808 static int
1809 partition_drs_to_sets (VEC (data_reference_p, heap) *drs, int choice,
1810 bool (* edge_exist_p) (const struct data_reference *,
1811 const struct data_reference *))
1812 {
1813
1814 int num_vertices = VEC_length (data_reference_p, drs);
1815 struct graph *g = new_graph (num_vertices);
1816 data_reference_p dr1, dr2;
1817 int i, j;
1818 int num_connected_components;
1819 int v_indx1, v_indx2, num_vertices_in_component;
1820 int *all_vertices;
1821 int *vertices;
1822 struct graph_edge *e;
1823 int this_component_is_clique, all_components_are_cliques;
1824
1825 for (i = 0; VEC_iterate (data_reference_p, drs, i, dr1); i++)
1826 for (j = i+1; VEC_iterate (data_reference_p, drs, j, dr2); j++)
1827 if (edge_exist_p (dr1, dr2))
1828 {
1829 add_edge (g, i, j);
1830 add_edge (g, j, i);
1831 }
1832
1833 all_vertices = XNEWVEC (int, num_vertices);
1834 vertices = XNEWVEC (int, num_vertices);
1835 for (i = 0; i < num_vertices; i++)
1836 all_vertices[i] = i;
1837
1838 num_connected_components = graphds_dfs (g, all_vertices, num_vertices, NULL, true, NULL);
1839
1840 /* Verify if the DFS numbering results in optimal solution. */
1841 for (i = 0; i < num_connected_components; i++)
1842 {
1843 num_vertices_in_component = 0;
1844 /* Get all vertices whose DFS component number is the same as i. */
1845 for (j = 0; j < num_vertices; j++)
1846 if (g->vertices[j].component == i)
1847 vertices[num_vertices_in_component++] = j;
1848
1849 /* Now test if the vertices in 'vertices' form a clique, by testing
1850 for edges among each pair. */
1851 this_component_is_clique = 1;
1852 for (v_indx1 = 0; v_indx1 < num_vertices_in_component; v_indx1++)
1853 {
1854 for (v_indx2 = v_indx1+1; v_indx2 < num_vertices_in_component; v_indx2++)
1855 {
1856 /* Check if the two vertices are connected by iterating
1857 through all the edges which have one of these are source. */
1858 e = g->vertices[vertices[v_indx2]].pred;
1859 while (e)
1860 {
1861 if (e->src == vertices[v_indx1])
1862 break;
1863 e = e->pred_next;
1864 }
1865 if (!e)
1866 {
1867 this_component_is_clique = 0;
1868 break;
1869 }
1870 }
1871 if (!this_component_is_clique)
1872 all_components_are_cliques = 0;
1873 }
1874 }
1875
1876 for (i = 0; i < g->n_vertices; i++)
1877 {
1878 data_reference_p dr = VEC_index (data_reference_p, drs, i);
1879 if (!dr->aux)
1880 dr->aux = XNEWVEC (int, 2);
1881 ((int *)(dr->aux))[choice] = g->vertices[i].component + 1;
1882 }
1883
1884 free (all_vertices);
1885 free (vertices);
1886 free_graph (g);
1887 return all_components_are_cliques;
1888 }
1889
1890 static bool
1891 dr_same_base_object_p (const struct data_reference *dr1,
1892 const struct data_reference *dr2)
1893 {
1894 return operand_equal_p (DR_BASE_OBJECT (dr1), DR_BASE_OBJECT (dr2), 0);
1895 }
1896
1897 /* Group each data reference in DRS with it's alias set num. */
1898
1899 static void
1900 build_alias_set_for_drs (VEC (data_reference_p, heap) *drs)
1901 {
1902 partition_drs_to_sets (drs, ALIAS_SET_INDEX, dr_may_alias_p);
1903 }
1904
1905 /* Group each data reference in DRS with it's base object set num. */
1906
1907 static void
1908 build_base_obj_set_for_drs (VEC (data_reference_p, heap) *drs)
1909 {
1910 partition_drs_to_sets (drs, BASE_OBJECT_SET_INDEX, dr_same_base_object_p);
1911 }
1912
1913 /* Build the data references for PBB. */
1914
1915 static void
1916 build_pbb_drs (poly_bb_p pbb)
1917 {
1918 int j;
1919 data_reference_p dr;
1920 VEC (data_reference_p, heap) *gbb_drs = GBB_DATA_REFS (PBB_BLACK_BOX (pbb));
1921
1922 for (j = 0; VEC_iterate (data_reference_p, gbb_drs, j, dr); j++)
1923 build_poly_dr (dr, pbb);
1924 }
1925
1926 /* Build data references in SCOP. */
1927
1928 static void
1929 build_scop_drs (scop_p scop)
1930 {
1931 int i, j;
1932 poly_bb_p pbb;
1933 data_reference_p dr;
1934 VEC (data_reference_p, heap) *drs = VEC_alloc (data_reference_p, heap, 3);
1935
1936 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1937 for (j = 0; VEC_iterate (data_reference_p,
1938 GBB_DATA_REFS (PBB_BLACK_BOX (pbb)), j, dr); j++)
1939 VEC_safe_push (data_reference_p, heap, drs, dr);
1940
1941 build_alias_set_for_drs (drs);
1942 build_base_obj_set_for_drs (drs);
1943
1944 /* When debugging, enable the following code. This cannot be used
1945 in production compilers. */
1946 #if 0
1947 {
1948 char comment[100];
1949 FILE *file_dimacs, *file_ecc, *file_dot;
1950
1951 file_dimacs = fopen ("/tmp/dr_alias_graph_dimacs", "ab");
1952 file_ecc = fopen ("/tmp/dr_alias_graph_ecc", "ab");
1953 file_dot = fopen ("/tmp/dr_alias_graph_dot", "ab");
1954 if (file_dimacs)
1955 {
1956 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
1957 current_function_name ());
1958 write_alias_graph_to_ascii_dimacs (file_dimacs, comment, drs);
1959 fclose (file_dimacs);
1960 }
1961 if (file_ecc)
1962 {
1963 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
1964 current_function_name ());
1965 write_alias_graph_to_ascii_ecc (file_ecc, comment, drs);
1966 fclose (file_ecc);
1967 }
1968 if (file_dot)
1969 {
1970 snprintf (comment, sizeof (comment), "%s %s", main_input_filename,
1971 current_function_name ());
1972 write_alias_graph_to_ascii_dot (file_dot, comment, drs);
1973 fclose (file_dot);
1974 }
1975 }
1976 #endif
1977
1978 VEC_free (data_reference_p, heap, drs);
1979
1980 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
1981 build_pbb_drs (pbb);
1982 }
1983
1984 /* Return a gsi at the position of the phi node STMT. */
1985
1986 static gimple_stmt_iterator
1987 gsi_for_phi_node (gimple stmt)
1988 {
1989 gimple_stmt_iterator psi;
1990 basic_block bb = gimple_bb (stmt);
1991
1992 for (psi = gsi_start_phis (bb); !gsi_end_p (psi); gsi_next (&psi))
1993 if (stmt == gsi_stmt (psi))
1994 return psi;
1995
1996 gcc_unreachable ();
1997 return psi;
1998 }
1999
2000 /* Insert the assignment "RES := VAR" just after the definition of VAR. */
2001
2002 static void
2003 insert_out_of_ssa_copy (tree res, tree var)
2004 {
2005 gimple stmt;
2006 gimple_seq stmts;
2007 gimple_stmt_iterator si;
2008 gimple_stmt_iterator gsi;
2009
2010 var = force_gimple_operand (var, &stmts, true, NULL_TREE);
2011 stmt = gimple_build_assign (res, var);
2012 if (!stmts)
2013 stmts = gimple_seq_alloc ();
2014 si = gsi_last (stmts);
2015 gsi_insert_after (&si, stmt, GSI_NEW_STMT);
2016
2017 stmt = SSA_NAME_DEF_STMT (var);
2018 if (gimple_code (stmt) == GIMPLE_PHI)
2019 {
2020 gsi = gsi_after_labels (gimple_bb (stmt));
2021 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2022 }
2023 else
2024 {
2025 gsi = gsi_for_stmt (stmt);
2026 gsi_insert_seq_after (&gsi, stmts, GSI_NEW_STMT);
2027 }
2028 }
2029
2030 /* Insert on edge E the assignment "RES := EXPR". */
2031
2032 static void
2033 insert_out_of_ssa_copy_on_edge (edge e, tree res, tree expr)
2034 {
2035 gimple_stmt_iterator gsi;
2036 gimple_seq stmts;
2037 tree var = force_gimple_operand (expr, &stmts, true, NULL_TREE);
2038 gimple stmt = gimple_build_assign (res, var);
2039
2040 if (!stmts)
2041 stmts = gimple_seq_alloc ();
2042
2043 gsi = gsi_last (stmts);
2044 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2045 gsi_insert_seq_on_edge (e, stmts);
2046 gsi_commit_edge_inserts ();
2047 }
2048
2049 /* Creates a zero dimension array of the same type as VAR. */
2050
2051 static tree
2052 create_zero_dim_array (tree var)
2053 {
2054 tree index_type = build_index_type (integer_zero_node);
2055 tree elt_type = TREE_TYPE (var);
2056 tree array_type = build_array_type (elt_type, index_type);
2057 tree base = create_tmp_var (array_type, "Red");
2058
2059 add_referenced_var (base);
2060
2061 return build4 (ARRAY_REF, elt_type, base, integer_zero_node, NULL_TREE,
2062 NULL_TREE);
2063 }
2064
2065 /* Returns true when PHI is a loop close phi node. */
2066
2067 static bool
2068 scalar_close_phi_node_p (gimple phi)
2069 {
2070 if (gimple_code (phi) != GIMPLE_PHI
2071 || !is_gimple_reg (gimple_phi_result (phi)))
2072 return false;
2073
2074 return (gimple_phi_num_args (phi) == 1);
2075 }
2076
2077 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2078 dimension array for it. */
2079
2080 static void
2081 rewrite_close_phi_out_of_ssa (gimple_stmt_iterator *psi)
2082 {
2083 gimple phi = gsi_stmt (*psi);
2084 tree res = gimple_phi_result (phi);
2085 tree var = SSA_NAME_VAR (res);
2086 tree zero_dim_array = create_zero_dim_array (var);
2087 gimple_stmt_iterator gsi = gsi_after_labels (gimple_bb (phi));
2088 gimple stmt = gimple_build_assign (res, zero_dim_array);
2089 tree arg = gimple_phi_arg_def (phi, 0);
2090
2091 insert_out_of_ssa_copy (zero_dim_array, arg);
2092
2093 remove_phi_node (psi, false);
2094 gsi_insert_before (&gsi, stmt, GSI_NEW_STMT);
2095 SSA_NAME_DEF_STMT (res) = stmt;
2096 }
2097
2098 /* Rewrite out of SSA the reduction phi node at PSI by creating a zero
2099 dimension array for it. */
2100
2101 static void
2102 rewrite_phi_out_of_ssa (gimple_stmt_iterator *psi)
2103 {
2104 size_t i;
2105 gimple phi = gsi_stmt (*psi);
2106 basic_block bb = gimple_bb (phi);
2107 tree res = gimple_phi_result (phi);
2108 tree var = SSA_NAME_VAR (res);
2109 tree zero_dim_array = create_zero_dim_array (var);
2110 gimple_stmt_iterator gsi;
2111 gimple stmt;
2112 gimple_seq stmts;
2113
2114 for (i = 0; i < gimple_phi_num_args (phi); i++)
2115 {
2116 tree arg = gimple_phi_arg_def (phi, i);
2117
2118 /* Try to avoid the insertion on edges as much as possible: this
2119 would avoid the insertion of code on loop latch edges, making
2120 the pattern matching of the vectorizer happy, or it would
2121 avoid the insertion of useless basic blocks. Note that it is
2122 incorrect to insert out of SSA copies close by their
2123 definition when they are more than two loop levels apart:
2124 for example, starting from a double nested loop
2125
2126 | a = ...
2127 | loop_1
2128 | loop_2
2129 | b = phi (a, c)
2130 | c = ...
2131 | end_2
2132 | end_1
2133
2134 the following transform is incorrect
2135
2136 | a = ...
2137 | Red[0] = a
2138 | loop_1
2139 | loop_2
2140 | b = Red[0]
2141 | c = ...
2142 | Red[0] = c
2143 | end_2
2144 | end_1
2145
2146 whereas inserting the copy on the incomming edge is correct
2147
2148 | a = ...
2149 | loop_1
2150 | Red[0] = a
2151 | loop_2
2152 | b = Red[0]
2153 | c = ...
2154 | Red[0] = c
2155 | end_2
2156 | end_1
2157 */
2158 if (TREE_CODE (arg) == SSA_NAME
2159 && is_gimple_reg (arg)
2160 && gimple_bb (SSA_NAME_DEF_STMT (arg))
2161 && (flow_bb_inside_loop_p (bb->loop_father,
2162 gimple_bb (SSA_NAME_DEF_STMT (arg)))
2163 || flow_bb_inside_loop_p (loop_outer (bb->loop_father),
2164 gimple_bb (SSA_NAME_DEF_STMT (arg)))))
2165 insert_out_of_ssa_copy (zero_dim_array, arg);
2166 else
2167 insert_out_of_ssa_copy_on_edge (gimple_phi_arg_edge (phi, i),
2168 zero_dim_array, arg);
2169 }
2170
2171 var = force_gimple_operand (zero_dim_array, &stmts, true, NULL_TREE);
2172
2173 if (!stmts)
2174 stmts = gimple_seq_alloc ();
2175
2176 stmt = gimple_build_assign (res, var);
2177 remove_phi_node (psi, false);
2178 SSA_NAME_DEF_STMT (res) = stmt;
2179
2180 gsi = gsi_last (stmts);
2181 gsi_insert_after (&gsi, stmt, GSI_NEW_STMT);
2182
2183 gsi = gsi_after_labels (bb);
2184 gsi_insert_seq_before (&gsi, stmts, GSI_NEW_STMT);
2185 }
2186
2187 /* Return true when DEF can be analyzed in REGION by the scalar
2188 evolution analyzer. */
2189
2190 static bool
2191 scev_analyzable_p (tree def, sese region)
2192 {
2193 gimple stmt = SSA_NAME_DEF_STMT (def);
2194 loop_p loop = loop_containing_stmt (stmt);
2195 tree scev = scalar_evolution_in_region (region, loop, def);
2196
2197 return !chrec_contains_undetermined (scev);
2198 }
2199
2200 /* Rewrite the scalar dependence of DEF used in USE_STMT with a memory
2201 read from ZERO_DIM_ARRAY. */
2202
2203 static void
2204 rewrite_cross_bb_scalar_dependence (tree zero_dim_array, tree def, gimple use_stmt)
2205 {
2206 tree var = SSA_NAME_VAR (def);
2207 gimple name_stmt = gimple_build_assign (var, zero_dim_array);
2208 tree name = make_ssa_name (var, name_stmt);
2209 ssa_op_iter iter;
2210 use_operand_p use_p;
2211 gimple_stmt_iterator gsi;
2212
2213 gcc_assert (gimple_code (use_stmt) != GIMPLE_PHI);
2214
2215 gimple_assign_set_lhs (name_stmt, name);
2216
2217 gsi = gsi_for_stmt (use_stmt);
2218 gsi_insert_before (&gsi, name_stmt, GSI_NEW_STMT);
2219
2220 FOR_EACH_SSA_USE_OPERAND (use_p, use_stmt, iter, SSA_OP_ALL_USES)
2221 if (operand_equal_p (def, USE_FROM_PTR (use_p), 0))
2222 replace_exp (use_p, name);
2223
2224 update_stmt (use_stmt);
2225 }
2226
2227 /* Rewrite the scalar dependences crossing the boundary of the BB
2228 containing STMT with an array. */
2229
2230 static void
2231 rewrite_cross_bb_scalar_deps (sese region, gimple_stmt_iterator *gsi)
2232 {
2233 gimple stmt = gsi_stmt (*gsi);
2234 imm_use_iterator imm_iter;
2235 tree def;
2236 basic_block def_bb;
2237 tree zero_dim_array = NULL_TREE;
2238 gimple use_stmt;
2239
2240 if (gimple_code (stmt) != GIMPLE_ASSIGN)
2241 return;
2242
2243 def = gimple_assign_lhs (stmt);
2244 if (!is_gimple_reg (def)
2245 || scev_analyzable_p (def, region))
2246 return;
2247
2248 def_bb = gimple_bb (stmt);
2249
2250 FOR_EACH_IMM_USE_STMT (use_stmt, imm_iter, def)
2251 if (def_bb != gimple_bb (use_stmt)
2252 && gimple_code (use_stmt) != GIMPLE_PHI)
2253 {
2254 if (!zero_dim_array)
2255 {
2256 zero_dim_array = create_zero_dim_array (SSA_NAME_VAR (def));
2257 insert_out_of_ssa_copy (zero_dim_array, def);
2258 gsi_next (gsi);
2259 }
2260
2261 rewrite_cross_bb_scalar_dependence (zero_dim_array, def, use_stmt);
2262 }
2263 }
2264
2265 /* Rewrite out of SSA all the reduction phi nodes of SCOP. */
2266
2267 static void
2268 rewrite_reductions_out_of_ssa (scop_p scop)
2269 {
2270 basic_block bb;
2271 gimple_stmt_iterator psi;
2272 sese region = SCOP_REGION (scop);
2273
2274 FOR_EACH_BB (bb)
2275 if (bb_in_sese_p (bb, region))
2276 for (psi = gsi_start_phis (bb); !gsi_end_p (psi);)
2277 {
2278 if (scalar_close_phi_node_p (gsi_stmt (psi)))
2279 rewrite_close_phi_out_of_ssa (&psi);
2280 else if (reduction_phi_p (region, &psi))
2281 rewrite_phi_out_of_ssa (&psi);
2282 }
2283
2284 update_ssa (TODO_update_ssa);
2285 #ifdef ENABLE_CHECKING
2286 verify_ssa (false);
2287 verify_loop_closed_ssa ();
2288 #endif
2289
2290 FOR_EACH_BB (bb)
2291 if (bb_in_sese_p (bb, region))
2292 for (psi = gsi_start_bb (bb); !gsi_end_p (psi); gsi_next (&psi))
2293 rewrite_cross_bb_scalar_deps (region, &psi);
2294
2295 update_ssa (TODO_update_ssa);
2296 #ifdef ENABLE_CHECKING
2297 verify_ssa (false);
2298 verify_loop_closed_ssa ();
2299 #endif
2300 }
2301
2302 /* Returns the number of pbbs that are in loops contained in SCOP. */
2303
2304 static int
2305 nb_pbbs_in_loops (scop_p scop)
2306 {
2307 int i;
2308 poly_bb_p pbb;
2309 int res = 0;
2310
2311 for (i = 0; VEC_iterate (poly_bb_p, SCOP_BBS (scop), i, pbb); i++)
2312 if (loop_in_sese_p (gbb_loop (PBB_BLACK_BOX (pbb)), SCOP_REGION (scop)))
2313 res++;
2314
2315 return res;
2316 }
2317
2318 /* Return the number of data references in BB that write in
2319 memory. */
2320
2321 static int
2322 nb_data_writes_in_bb (basic_block bb)
2323 {
2324 int res = 0;
2325 gimple_stmt_iterator gsi;
2326
2327 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
2328 if (gimple_vdef (gsi_stmt (gsi)))
2329 res++;
2330
2331 return res;
2332 }
2333
2334 /* Splits STMT out of its current BB. */
2335
2336 static basic_block
2337 split_reduction_stmt (gimple stmt)
2338 {
2339 gimple_stmt_iterator gsi;
2340 basic_block bb = gimple_bb (stmt);
2341 edge e;
2342
2343 /* Do not split basic blocks with no writes to memory: the reduction
2344 will be the only write to memory. */
2345 if (nb_data_writes_in_bb (bb) == 0)
2346 return bb;
2347
2348 split_block (bb, stmt);
2349
2350 gsi = gsi_last_bb (bb);
2351 gsi_prev (&gsi);
2352 e = split_block (bb, gsi_stmt (gsi));
2353
2354 return e->dest;
2355 }
2356
2357 /* Return true when stmt is a reduction operation. */
2358
2359 static inline bool
2360 is_reduction_operation_p (gimple stmt)
2361 {
2362 return flag_associative_math
2363 && commutative_tree_code (gimple_assign_rhs_code (stmt))
2364 && associative_tree_code (gimple_assign_rhs_code (stmt));
2365 }
2366
2367 /* Returns true when PHI contains an argument ARG. */
2368
2369 static bool
2370 phi_contains_arg (gimple phi, tree arg)
2371 {
2372 size_t i;
2373
2374 for (i = 0; i < gimple_phi_num_args (phi); i++)
2375 if (operand_equal_p (arg, gimple_phi_arg_def (phi, i), 0))
2376 return true;
2377
2378 return false;
2379 }
2380
2381 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2382
2383 static gimple
2384 follow_ssa_with_commutative_ops (tree arg, tree lhs)
2385 {
2386 gimple stmt;
2387
2388 if (TREE_CODE (arg) != SSA_NAME)
2389 return NULL;
2390
2391 stmt = SSA_NAME_DEF_STMT (arg);
2392
2393 if (gimple_code (stmt) == GIMPLE_PHI)
2394 {
2395 if (phi_contains_arg (stmt, lhs))
2396 return stmt;
2397 return NULL;
2398 }
2399
2400 if (gimple_num_ops (stmt) == 2)
2401 return follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2402
2403 if (is_reduction_operation_p (stmt))
2404 {
2405 gimple res = follow_ssa_with_commutative_ops (gimple_assign_rhs1 (stmt), lhs);
2406
2407 return res ? res :
2408 follow_ssa_with_commutative_ops (gimple_assign_rhs2 (stmt), lhs);
2409 }
2410
2411 return NULL;
2412 }
2413
2414 /* Detect commutative and associative scalar reductions starting at
2415 the STMT. */
2416
2417 static gimple
2418 detect_commutative_reduction_arg (tree lhs, gimple stmt, tree arg,
2419 VEC (gimple, heap) **in,
2420 VEC (gimple, heap) **out)
2421 {
2422 gimple phi = follow_ssa_with_commutative_ops (arg, lhs);
2423
2424 if (phi)
2425 {
2426 VEC_safe_push (gimple, heap, *in, stmt);
2427 VEC_safe_push (gimple, heap, *out, stmt);
2428 return phi;
2429 }
2430
2431 return NULL;
2432 }
2433
2434 /* Detect commutative and associative scalar reductions starting at
2435 the STMT. */
2436
2437 static gimple
2438 detect_commutative_reduction_assign (gimple stmt, VEC (gimple, heap) **in,
2439 VEC (gimple, heap) **out)
2440 {
2441 tree lhs = gimple_assign_lhs (stmt);
2442
2443 if (gimple_num_ops (stmt) == 2)
2444 return detect_commutative_reduction_arg (lhs, stmt,
2445 gimple_assign_rhs1 (stmt),
2446 in, out);
2447
2448 if (is_reduction_operation_p (stmt))
2449 {
2450 gimple res = detect_commutative_reduction_arg (lhs, stmt,
2451 gimple_assign_rhs1 (stmt),
2452 in, out);
2453 return res ? res
2454 : detect_commutative_reduction_arg (lhs, stmt,
2455 gimple_assign_rhs2 (stmt),
2456 in, out);
2457 }
2458
2459 return NULL;
2460 }
2461
2462 /* Return a loop phi node that corresponds to a reduction containing LHS. */
2463
2464 static gimple
2465 follow_inital_value_to_phi (tree arg, tree lhs)
2466 {
2467 gimple stmt;
2468
2469 if (!arg || TREE_CODE (arg) != SSA_NAME)
2470 return NULL;
2471
2472 stmt = SSA_NAME_DEF_STMT (arg);
2473
2474 if (gimple_code (stmt) == GIMPLE_PHI
2475 && phi_contains_arg (stmt, lhs))
2476 return stmt;
2477
2478 return NULL;
2479 }
2480
2481
2482 /* Return the argument of the loop PHI that is the inital value coming
2483 from outside the loop. */
2484
2485 static edge
2486 edge_initial_value_for_loop_phi (gimple phi)
2487 {
2488 size_t i;
2489
2490 for (i = 0; i < gimple_phi_num_args (phi); i++)
2491 {
2492 edge e = gimple_phi_arg_edge (phi, i);
2493
2494 if (loop_depth (e->src->loop_father)
2495 < loop_depth (e->dest->loop_father))
2496 return e;
2497 }
2498
2499 return NULL;
2500 }
2501
2502 /* Return the argument of the loop PHI that is the inital value coming
2503 from outside the loop. */
2504
2505 static tree
2506 initial_value_for_loop_phi (gimple phi)
2507 {
2508 size_t i;
2509
2510 for (i = 0; i < gimple_phi_num_args (phi); i++)
2511 {
2512 edge e = gimple_phi_arg_edge (phi, i);
2513
2514 if (loop_depth (e->src->loop_father)
2515 < loop_depth (e->dest->loop_father))
2516 return gimple_phi_arg_def (phi, i);
2517 }
2518
2519 return NULL_TREE;
2520 }
2521
2522 /* Detect commutative and associative scalar reductions starting at
2523 the loop closed phi node CLOSE_PHI. */
2524
2525 static gimple
2526 detect_commutative_reduction (gimple stmt, VEC (gimple, heap) **in,
2527 VEC (gimple, heap) **out)
2528 {
2529 if (scalar_close_phi_node_p (stmt))
2530 {
2531 tree arg = gimple_phi_arg_def (stmt, 0);
2532 gimple def = SSA_NAME_DEF_STMT (arg);
2533 gimple loop_phi = detect_commutative_reduction (def, in, out);
2534
2535 if (loop_phi)
2536 {
2537 tree lhs = gimple_phi_result (stmt);
2538 tree init = initial_value_for_loop_phi (loop_phi);
2539 gimple phi = follow_inital_value_to_phi (init, lhs);
2540
2541 VEC_safe_push (gimple, heap, *in, loop_phi);
2542 VEC_safe_push (gimple, heap, *out, stmt);
2543 return phi;
2544 }
2545 else
2546 return NULL;
2547 }
2548
2549 if (gimple_code (stmt) == GIMPLE_ASSIGN)
2550 return detect_commutative_reduction_assign (stmt, in, out);
2551
2552 return NULL;
2553 }
2554
2555 /* Translate the scalar reduction statement STMT to an array RED
2556 knowing that its recursive phi node is LOOP_PHI. */
2557
2558 static void
2559 translate_scalar_reduction_to_array_for_stmt (tree red, gimple stmt,
2560 gimple loop_phi)
2561 {
2562 basic_block bb = gimple_bb (stmt);
2563 gimple_stmt_iterator insert_gsi = gsi_after_labels (bb);
2564 tree res = gimple_phi_result (loop_phi);
2565 gimple assign = gimple_build_assign (res, red);
2566
2567 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2568
2569 assign = gimple_build_assign (red, gimple_assign_lhs (stmt));
2570 insert_gsi = gsi_for_stmt (stmt);
2571 gsi_insert_after (&insert_gsi, assign, GSI_SAME_STMT);
2572 }
2573
2574 /* Insert the assignment "result (CLOSE_PHI) = RED". */
2575
2576 static void
2577 insert_copyout (tree red, gimple close_phi)
2578 {
2579 tree res = gimple_phi_result (close_phi);
2580 basic_block bb = gimple_bb (close_phi);
2581 gimple_stmt_iterator insert_gsi = gsi_after_labels (bb);
2582 gimple assign = gimple_build_assign (res, red);
2583
2584 gsi_insert_before (&insert_gsi, assign, GSI_SAME_STMT);
2585 }
2586
2587 /* Insert the assignment "RED = initial_value (LOOP_PHI)". */
2588
2589 static void
2590 insert_copyin (tree red, gimple loop_phi)
2591 {
2592 gimple_seq stmts;
2593 tree init = initial_value_for_loop_phi (loop_phi);
2594 tree expr = build2 (MODIFY_EXPR, TREE_TYPE (init), red, init);
2595
2596 force_gimple_operand (expr, &stmts, true, NULL);
2597 gsi_insert_seq_on_edge (edge_initial_value_for_loop_phi (loop_phi), stmts);
2598 }
2599
2600 /* Rewrite out of SSA the reduction described by the loop phi nodes
2601 IN, and the close phi nodes OUT. IN and OUT are structured by loop
2602 levels like this:
2603
2604 IN: stmt, loop_n, ..., loop_0
2605 OUT: stmt, close_n, ..., close_0
2606
2607 the first element is the reduction statement, and the next elements
2608 are the loop and close phi nodes of each of the outer loops. */
2609
2610 static void
2611 translate_scalar_reduction_to_array (VEC (gimple, heap) *in,
2612 VEC (gimple, heap) *out,
2613 sbitmap reductions)
2614 {
2615 unsigned int i;
2616 gimple loop_phi;
2617 tree red;
2618 gimple_stmt_iterator gsi;
2619
2620 for (i = 0; VEC_iterate (gimple, in, i, loop_phi); i++)
2621 {
2622 gimple close_phi = VEC_index (gimple, out, i);
2623
2624 if (i == 0)
2625 {
2626 gimple stmt = loop_phi;
2627 basic_block bb = split_reduction_stmt (stmt);
2628
2629 SET_BIT (reductions, bb->index);
2630 gcc_assert (close_phi == loop_phi);
2631
2632 red = create_zero_dim_array (gimple_assign_lhs (stmt));
2633 translate_scalar_reduction_to_array_for_stmt
2634 (red, stmt, VEC_index (gimple, in, 1));
2635 continue;
2636 }
2637
2638 if (i == VEC_length (gimple, in) - 1)
2639 {
2640 insert_copyout (red, close_phi);
2641 insert_copyin (red, loop_phi);
2642 }
2643
2644 gsi = gsi_for_phi_node (loop_phi);
2645 remove_phi_node (&gsi, false);
2646
2647 gsi = gsi_for_phi_node (close_phi);
2648 remove_phi_node (&gsi, false);
2649 }
2650 }
2651
2652 /* Rewrites out of SSA a commutative reduction at CLOSE_PHI. */
2653
2654 static void
2655 rewrite_commutative_reductions_out_of_ssa_close_phi (gimple close_phi,
2656 sbitmap reductions)
2657 {
2658 VEC (gimple, heap) *in = VEC_alloc (gimple, heap, 10);
2659 VEC (gimple, heap) *out = VEC_alloc (gimple, heap, 10);
2660
2661 detect_commutative_reduction (close_phi, &in, &out);
2662 if (VEC_length (gimple, in) > 0)
2663 translate_scalar_reduction_to_array (in, out, reductions);
2664
2665 VEC_free (gimple, heap, in);
2666 VEC_free (gimple, heap, out);
2667 }
2668
2669 /* Rewrites all the commutative reductions from LOOP out of SSA. */
2670
2671 static void
2672 rewrite_commutative_reductions_out_of_ssa_loop (loop_p loop,
2673 sbitmap reductions)
2674 {
2675 gimple_stmt_iterator gsi;
2676 edge exit = single_exit (loop);
2677
2678 if (!exit)
2679 return;
2680
2681 for (gsi = gsi_start_phis (exit->dest); !gsi_end_p (gsi); gsi_next (&gsi))
2682 rewrite_commutative_reductions_out_of_ssa_close_phi (gsi_stmt (gsi),
2683 reductions);
2684 }
2685
2686 /* Rewrites all the commutative reductions from SCOP out of SSA. */
2687
2688 static void
2689 rewrite_commutative_reductions_out_of_ssa (sese region, sbitmap reductions)
2690 {
2691 loop_iterator li;
2692 loop_p loop;
2693
2694 FOR_EACH_LOOP (li, loop, 0)
2695 if (loop_in_sese_p (loop, region))
2696 rewrite_commutative_reductions_out_of_ssa_loop (loop, reductions);
2697
2698 gsi_commit_edge_inserts ();
2699 update_ssa (TODO_update_ssa);
2700 #ifdef ENABLE_CHECKING
2701 verify_ssa (false);
2702 verify_loop_closed_ssa ();
2703 #endif
2704 }
2705
2706 /* Builds the polyhedral representation for a SESE region. */
2707
2708 bool
2709 build_poly_scop (scop_p scop)
2710 {
2711 sese region = SCOP_REGION (scop);
2712 sbitmap reductions = sbitmap_alloc (last_basic_block * 2);
2713
2714 sbitmap_zero (reductions);
2715 rewrite_commutative_reductions_out_of_ssa (region, reductions);
2716 rewrite_reductions_out_of_ssa (scop);
2717 build_scop_bbs (scop, reductions);
2718 sbitmap_free (reductions);
2719
2720 /* FIXME: This restriction is needed to avoid a problem in CLooG.
2721 Once CLooG is fixed, remove this guard. Anyways, it makes no
2722 sense to optimize a scop containing only PBBs that do not belong
2723 to any loops. */
2724 if (nb_pbbs_in_loops (scop) == 0)
2725 return false;
2726
2727 build_sese_loop_nests (region);
2728 build_sese_conditions (region);
2729 find_scop_parameters (scop);
2730
2731 build_scop_iteration_domain (scop);
2732 build_scop_context (scop);
2733
2734 add_conditions_to_constraints (scop);
2735 scop_to_lst (scop);
2736 build_scop_scattering (scop);
2737 build_scop_drs (scop);
2738
2739 return true;
2740 }
2741
2742 /* Always return false. Exercise the scop_to_clast function. */
2743
2744 void
2745 check_poly_representation (scop_p scop ATTRIBUTE_UNUSED)
2746 {
2747 #ifdef ENABLE_CHECKING
2748 cloog_prog_clast pc = scop_to_clast (scop);
2749 cloog_clast_free (pc.stmt);
2750 cloog_program_free (pc.prog);
2751 #endif
2752 }
2753 #endif