131
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1 /* Loop unroll-and-jam.
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2 Copyright (C) 2017-2020 Free Software Foundation, Inc.
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131
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3
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4 This file is part of GCC.
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5
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6 GCC is free software; you can redistribute it and/or modify it
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7 under the terms of the GNU General Public License as published by the
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8 Free Software Foundation; either version 3, or (at your option) any
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9 later version.
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10
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11 GCC is distributed in the hope that it will be useful, but WITHOUT
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12 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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13 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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14 for more details.
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15
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16 You should have received a copy of the GNU General Public License
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17 along with GCC; see the file COPYING3. If not see
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18 <http://www.gnu.org/licenses/>. */
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19
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20 #include "config.h"
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21 #include "system.h"
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22 #include "coretypes.h"
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23 #include "tree-pass.h"
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24 #include "backend.h"
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25 #include "tree.h"
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26 #include "gimple.h"
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27 #include "ssa.h"
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28 #include "fold-const.h"
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29 #include "tree-cfg.h"
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30 #include "tree-ssa.h"
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31 #include "tree-ssa-loop-niter.h"
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32 #include "tree-ssa-loop.h"
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33 #include "tree-ssa-loop-manip.h"
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34 #include "cfgloop.h"
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35 #include "tree-scalar-evolution.h"
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36 #include "gimple-iterator.h"
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37 #include "cfghooks.h"
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38 #include "tree-data-ref.h"
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39 #include "tree-ssa-loop-ivopts.h"
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40 #include "tree-vectorizer.h"
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41
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42 /* Unroll and Jam transformation
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43
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44 This is a combination of two transformations, where the second
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45 is not always valid. It's applicable if a loop nest has redundancies
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46 over the iterations of an outer loop while not having that with
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47 an inner loop.
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48
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49 Given this nest:
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50 for (i) {
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51 for (j) {
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52 B(i,j)
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53 }
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54 }
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55
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56 first unroll:
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57 for (i by 2) {
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58 for (j) {
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59 B(i,j)
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60 }
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61 for (j) {
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62 B(i+1,j)
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63 }
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64 }
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65
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66 then fuse the two adjacent inner loops resulting from that:
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67 for (i by 2) {
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68 for (j) {
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69 B(i,j)
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70 B(i+1,j)
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71 }
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72 }
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73
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74 As the order of evaluations of the body B changes this is valid
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75 only in certain situations: all distance vectors need to be forward.
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76 Additionally if there are multiple induction variables than just
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77 a counting control IV (j above) we can also deal with some situations.
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78
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79 The validity is checked by unroll_jam_possible_p, and the data-dep
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80 testing below.
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81
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82 A trivial example where the fusion is wrong would be when
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83 B(i,j) == x[j-1] = x[j];
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84 for (i by 2) {
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85 for (j) {
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86 x[j-1] = x[j];
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87 }
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88 for (j) {
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89 x[j-1] = x[j];
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90 }
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91 } effect: move content to front by two elements
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92 -->
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93 for (i by 2) {
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94 for (j) {
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95 x[j-1] = x[j];
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96 x[j-1] = x[j];
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97 }
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98 } effect: move content to front by one element
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99 */
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100
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101 /* Modify the loop tree for the fact that all code once belonging
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102 to the OLD loop or the outer loop of OLD now is inside LOOP. */
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103
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104 static void
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105 merge_loop_tree (class loop *loop, class loop *old)
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106 {
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107 basic_block *bbs;
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108 int i, n;
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109 class loop *subloop;
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110 edge e;
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111 edge_iterator ei;
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112
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113 /* Find its nodes. */
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114 bbs = XNEWVEC (basic_block, n_basic_blocks_for_fn (cfun));
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115 n = get_loop_body_with_size (loop, bbs, n_basic_blocks_for_fn (cfun));
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116
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117 for (i = 0; i < n; i++)
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118 {
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119 /* If the block was direct child of OLD loop it's now part
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120 of LOOP. If it was outside OLD, then it moved into LOOP
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121 as well. This avoids changing the loop father for BBs
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122 in inner loops of OLD. */
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123 if (bbs[i]->loop_father == old
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124 || loop_depth (bbs[i]->loop_father) < loop_depth (old))
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125 {
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126 remove_bb_from_loops (bbs[i]);
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127 add_bb_to_loop (bbs[i], loop);
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128 continue;
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129 }
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130
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131 /* If we find a direct subloop of OLD, move it to LOOP. */
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132 subloop = bbs[i]->loop_father;
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133 if (loop_outer (subloop) == old && subloop->header == bbs[i])
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134 {
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135 flow_loop_tree_node_remove (subloop);
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136 flow_loop_tree_node_add (loop, subloop);
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137 }
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138 }
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139
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140 /* Update the information about loop exit edges. */
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141 for (i = 0; i < n; i++)
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142 {
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143 FOR_EACH_EDGE (e, ei, bbs[i]->succs)
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144 {
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145 rescan_loop_exit (e, false, false);
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146 }
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147 }
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148
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149 loop->num_nodes = n;
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150
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151 free (bbs);
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152 }
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153
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154 /* BB is part of the outer loop of an unroll-and-jam situation.
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155 Check if any statements therein would prevent the transformation. */
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156
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157 static bool
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158 bb_prevents_fusion_p (basic_block bb)
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159 {
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160 gimple_stmt_iterator gsi;
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161 /* BB is duplicated by outer unrolling and then all N-1 first copies
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162 move into the body of the fused inner loop. If BB exits the outer loop
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163 the last copy still does so, and the first N-1 copies are cancelled
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164 by loop unrolling, so also after fusion it's the exit block.
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165 But there might be other reasons that prevent fusion:
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166 * stores or unknown side-effects prevent fusion
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167 * loads don't
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168 * computations into SSA names: these aren't problematic. Their
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169 result will be unused on the exit edges of the first N-1 copies
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170 (those aren't taken after unrolling). If they are used on the
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171 other edge (the one leading to the outer latch block) they are
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172 loop-carried (on the outer loop) and the Nth copy of BB will
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173 compute them again (i.e. the first N-1 copies will be dead). */
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174 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
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175 {
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176 gimple *g = gsi_stmt (gsi);
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177 if (gimple_vdef (g) || gimple_has_side_effects (g))
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178 return true;
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179 }
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180 return false;
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181 }
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182
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183 /* Given an inner loop LOOP (of some OUTER loop) determine if
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184 we can safely fuse copies of it (generated by outer unrolling).
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185 If so return true, otherwise return false. */
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186
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187 static bool
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188 unroll_jam_possible_p (class loop *outer, class loop *loop)
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189 {
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190 basic_block *bbs;
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191 int i, n;
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192 class tree_niter_desc niter;
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193
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194 /* When fusing the loops we skip the latch block
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195 of the first one, so it mustn't have any effects to
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196 preserve. */
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197 if (!empty_block_p (loop->latch))
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198 return false;
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199
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200 if (!single_exit (loop))
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201 return false;
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202
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203 /* We need a perfect nest. Quick check for adjacent inner loops. */
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204 if (outer->inner != loop || loop->next)
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205 return false;
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206
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207 /* Prevent head-controlled inner loops, that we usually have.
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208 The guard block would need to be accepted
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209 (invariant condition either entering or skipping the loop),
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210 without also accepting arbitrary control flow. When unswitching
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211 ran before us (as with -O3) this won't be a problem because its
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212 outer loop unswitching will have moved out the invariant condition.
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213
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214 If we do that we need to extend fuse_loops() to cope with this
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215 by threading through the (still invariant) copied condition
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216 between the two loop copies. */
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217 if (!dominated_by_p (CDI_DOMINATORS, outer->latch, loop->header))
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218 return false;
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219
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220 /* The number of iterations of the inner loop must be loop invariant
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221 with respect to the outer loop. */
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222 if (!number_of_iterations_exit (loop, single_exit (loop), &niter,
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223 false, true)
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224 || niter.cmp == ERROR_MARK
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225 || !integer_zerop (niter.may_be_zero)
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226 || !expr_invariant_in_loop_p (outer, niter.niter))
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227 return false;
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228
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229 /* If the inner loop produces any values that are used inside the
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230 outer loop (except the virtual op) then it can flow
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231 back (perhaps indirectly) into the inner loop. This prevents
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232 fusion: without fusion the value at the last iteration is used,
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233 with fusion the value after the initial iteration is used.
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234
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235 If all uses are outside the outer loop this doesn't prevent fusion;
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236 the value of the last iteration is still used (and the values from
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237 all intermediate iterations are dead). */
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238 gphi_iterator psi;
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239 for (psi = gsi_start_phis (single_exit (loop)->dest);
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240 !gsi_end_p (psi); gsi_next (&psi))
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241 {
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242 imm_use_iterator imm_iter;
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243 use_operand_p use_p;
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244 tree op = gimple_phi_result (psi.phi ());
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245 if (virtual_operand_p (op))
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246 continue;
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247 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, op)
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248 {
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249 gimple *use_stmt = USE_STMT (use_p);
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250 if (!is_gimple_debug (use_stmt)
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251 && flow_bb_inside_loop_p (outer, gimple_bb (use_stmt)))
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252 return false;
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253 }
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254 }
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255
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256 /* And check blocks belonging to just outer loop. */
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257 bbs = XNEWVEC (basic_block, n_basic_blocks_for_fn (cfun));
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258 n = get_loop_body_with_size (outer, bbs, n_basic_blocks_for_fn (cfun));
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259
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260 for (i = 0; i < n; i++)
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261 if (bbs[i]->loop_father == outer && bb_prevents_fusion_p (bbs[i]))
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262 break;
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263 free (bbs);
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264 if (i != n)
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265 return false;
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266
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267 /* For now we can safely fuse copies of LOOP only if all
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268 loop carried variables are inductions (or the virtual op).
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269
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270 We could handle reductions as well (the initial value in the second
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271 body would be the after-iter value of the first body) if it's over
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272 an associative and commutative operation. We wouldn't
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273 be able to handle unknown cycles. */
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274 for (psi = gsi_start_phis (loop->header); !gsi_end_p (psi); gsi_next (&psi))
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275 {
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276 affine_iv iv;
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277 tree op = gimple_phi_result (psi.phi ());
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278
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279 if (virtual_operand_p (op))
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280 continue;
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281 if (!simple_iv (loop, loop, op, &iv, true))
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282 return false;
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283 /* The inductions must be regular, loop invariant step and initial
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284 value. */
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285 if (!expr_invariant_in_loop_p (outer, iv.step)
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286 || !expr_invariant_in_loop_p (outer, iv.base))
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287 return false;
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288 /* XXX With more effort we could also be able to deal with inductions
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289 where the initial value is loop variant but a simple IV in the
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290 outer loop. The initial value for the second body would be
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291 the original initial value plus iv.base.step. The next value
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292 for the fused loop would be the original next value of the first
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293 copy, _not_ the next value of the second body. */
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294 }
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295
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296 return true;
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297 }
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298
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299 /* Fuse LOOP with all further neighbors. The loops are expected to
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300 be in appropriate form. */
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301
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302 static void
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303 fuse_loops (class loop *loop)
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304 {
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305 class loop *next = loop->next;
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306
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307 while (next)
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308 {
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309 edge e;
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310
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311 remove_branch (single_pred_edge (loop->latch));
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312 /* Make delete_basic_block not fiddle with the loop structure. */
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313 basic_block oldlatch = loop->latch;
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314 loop->latch = NULL;
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315 delete_basic_block (oldlatch);
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316 e = redirect_edge_and_branch (loop_latch_edge (next),
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317 loop->header);
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318 loop->latch = e->src;
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319 flush_pending_stmts (e);
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320
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321 gcc_assert (EDGE_COUNT (next->header->preds) == 1);
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322
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323 /* The PHI nodes of the second body (single-argument now)
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324 need adjustments to use the right values: either directly
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325 the value of the corresponding PHI in the first copy or
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326 the one leaving the first body which unrolling did for us.
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327
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328 See also unroll_jam_possible_p() for further possibilities. */
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329 gphi_iterator psi_first, psi_second;
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330 e = single_pred_edge (next->header);
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331 for (psi_first = gsi_start_phis (loop->header),
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332 psi_second = gsi_start_phis (next->header);
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333 !gsi_end_p (psi_first);
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334 gsi_next (&psi_first), gsi_next (&psi_second))
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335 {
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336 gphi *phi_first = psi_first.phi ();
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337 gphi *phi_second = psi_second.phi ();
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338 tree firstop = gimple_phi_result (phi_first);
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339 /* The virtual operand is correct already as it's
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340 always live at exit, hence has a LCSSA node and outer
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341 loop unrolling updated SSA form. */
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342 if (virtual_operand_p (firstop))
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343 continue;
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344
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345 /* Due to unroll_jam_possible_p() we know that this is
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346 an induction. The second body goes over the same
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347 iteration space. */
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348 add_phi_arg (phi_second, firstop, e,
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349 gimple_location (phi_first));
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350 }
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351 gcc_assert (gsi_end_p (psi_second));
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352
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353 merge_loop_tree (loop, next);
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354 gcc_assert (!next->num_nodes);
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355 class loop *ln = next->next;
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356 delete_loop (next);
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357 next = ln;
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358 }
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359 rewrite_into_loop_closed_ssa_1 (NULL, 0, SSA_OP_USE, loop);
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360 }
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361
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362 /* Return true if any of the access functions for dataref A
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363 isn't invariant with respect to loop LOOP_NEST. */
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364 static bool
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365 any_access_function_variant_p (const struct data_reference *a,
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366 const class loop *loop_nest)
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367 {
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368 unsigned int i;
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369 vec<tree> fns = DR_ACCESS_FNS (a);
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370 tree t;
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371
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372 FOR_EACH_VEC_ELT (fns, i, t)
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373 if (!evolution_function_is_invariant_p (t, loop_nest->num))
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374 return true;
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375
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376 return false;
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377 }
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378
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379 /* Returns true if the distance in DDR can be determined and adjusts
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380 the unroll factor in *UNROLL to make unrolling valid for that distance.
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381 Otherwise return false. DDR is with respect to the outer loop of INNER.
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382
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383 If this data dep can lead to a removed memory reference, increment
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384 *REMOVED and adjust *PROFIT_UNROLL to be the necessary unroll factor
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385 for this to happen. */
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386
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387 static bool
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388 adjust_unroll_factor (class loop *inner, struct data_dependence_relation *ddr,
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389 unsigned *unroll, unsigned *profit_unroll,
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390 unsigned *removed)
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391 {
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392 bool ret = false;
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393 if (DDR_ARE_DEPENDENT (ddr) != chrec_known)
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394 {
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395 if (DDR_NUM_DIST_VECTS (ddr) == 0)
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396 return false;
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397 unsigned i;
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398 lambda_vector dist_v;
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399 FOR_EACH_VEC_ELT (DDR_DIST_VECTS (ddr), i, dist_v)
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400 {
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401 /* A distance (a,b) is at worst transformed into (a/N,b) by the
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402 unrolling (factor N), so the transformation is valid if
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403 a >= N, or b > 0, or b is zero and a > 0. Otherwise the unroll
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404 factor needs to be limited so that the first condition holds.
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405 That may limit the factor down to zero in the worst case. */
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406 int dist = dist_v[0];
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407 if (dist < 0)
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408 gcc_unreachable ();
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409 else if ((unsigned)dist >= *unroll)
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410 ;
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411 else if (lambda_vector_zerop (dist_v + 1, DDR_NB_LOOPS (ddr) - 1))
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412 {
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413 /* We have (a,0) with a < N, so this will be transformed into
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414 (0,0) after unrolling by N. This might potentially be a
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415 problem, if it's not a read-read dependency. */
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416 if (DR_IS_READ (DDR_A (ddr)) && DR_IS_READ (DDR_B (ddr)))
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417 ;
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418 else
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419 {
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420 /* So, at least one is a write, and we might reduce the
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421 distance vector to (0,0). This is still no problem
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422 if both data-refs are affine with respect to the inner
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423 loops. But if one of them is invariant with respect
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424 to an inner loop our reordering implicit in loop fusion
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425 corrupts the program, as our data dependences don't
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426 capture this. E.g. for:
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427 for (0 <= i < n)
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428 for (0 <= j < m)
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429 a[i][0] = a[i+1][0] + 2; // (1)
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430 b[i][j] = b[i+1][j] + 2; // (2)
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431 the distance vector for both statements is (-1,0),
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432 but exchanging the order for (2) is okay, while
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433 for (1) it is not. To see this, write out the original
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434 accesses (assume m is 2):
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435 a i j original
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436 0 0 0 r a[1][0] b[1][0]
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437 1 0 0 w a[0][0] b[0][0]
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438 2 0 1 r a[1][0] b[1][1]
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439 3 0 1 w a[0][0] b[0][1]
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440 4 1 0 r a[2][0] b[2][0]
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441 5 1 0 w a[1][0] b[1][0]
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442 after unroll-by-2 and fusion the accesses are done in
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443 this order (from column a): 0,1, 4,5, 2,3, i.e. this:
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444 a i j transformed
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445 0 0 0 r a[1][0] b[1][0]
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446 1 0 0 w a[0][0] b[0][0]
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447 4 1 0 r a[2][0] b[2][0]
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448 5 1 0 w a[1][0] b[1][0]
|
|
449 2 0 1 r a[1][0] b[1][1]
|
|
450 3 0 1 w a[0][0] b[0][1]
|
|
451 Note how access 2 accesses the same element as access 5
|
|
452 for array 'a' but not for array 'b'. */
|
|
453 if (any_access_function_variant_p (DDR_A (ddr), inner)
|
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454 && any_access_function_variant_p (DDR_B (ddr), inner))
|
|
455 ;
|
|
456 else
|
|
457 /* And if any dataref of this pair is invariant with
|
|
458 respect to the inner loop, we have no chance than
|
|
459 to reduce the unroll factor. */
|
|
460 *unroll = dist;
|
|
461 }
|
|
462 }
|
|
463 else if (lambda_vector_lexico_pos (dist_v + 1, DDR_NB_LOOPS (ddr) - 1))
|
131
|
464 ;
|
|
465 else
|
|
466 *unroll = dist;
|
|
467
|
|
468 /* With a distance (a,0) it's always profitable to unroll-and-jam
|
|
469 (by a+1), because one memory reference will go away. With
|
|
470 (a,b) and b != 0 that's less clear. We will increase the
|
|
471 number of streams without lowering the number of mem refs.
|
|
472 So for now only handle the first situation. */
|
|
473 if (lambda_vector_zerop (dist_v + 1, DDR_NB_LOOPS (ddr) - 1))
|
|
474 {
|
|
475 *profit_unroll = MAX (*profit_unroll, (unsigned)dist + 1);
|
|
476 (*removed)++;
|
|
477 }
|
|
478
|
|
479 ret = true;
|
|
480 }
|
|
481 }
|
|
482 return ret;
|
|
483 }
|
|
484
|
|
485 /* Main entry point for the unroll-and-jam transformation
|
|
486 described above. */
|
|
487
|
|
488 static unsigned int
|
|
489 tree_loop_unroll_and_jam (void)
|
|
490 {
|
145
|
491 class loop *loop;
|
131
|
492 bool changed = false;
|
|
493
|
|
494 gcc_assert (scev_initialized_p ());
|
|
495
|
|
496 /* Go through all innermost loops. */
|
|
497 FOR_EACH_LOOP (loop, LI_ONLY_INNERMOST)
|
|
498 {
|
145
|
499 class loop *outer = loop_outer (loop);
|
131
|
500
|
|
501 if (loop_depth (loop) < 2
|
|
502 || optimize_loop_nest_for_size_p (outer))
|
|
503 continue;
|
|
504
|
|
505 if (!unroll_jam_possible_p (outer, loop))
|
|
506 continue;
|
|
507
|
|
508 vec<data_reference_p> datarefs;
|
|
509 vec<ddr_p> dependences;
|
|
510 unsigned unroll_factor, profit_unroll, removed;
|
145
|
511 class tree_niter_desc desc;
|
131
|
512 bool unroll = false;
|
|
513
|
|
514 auto_vec<loop_p, 3> loop_nest;
|
|
515 dependences.create (10);
|
|
516 datarefs.create (10);
|
|
517 if (!compute_data_dependences_for_loop (outer, true, &loop_nest,
|
145
|
518 &datarefs, &dependences))
|
131
|
519 {
|
|
520 if (dump_file && (dump_flags & TDF_DETAILS))
|
|
521 fprintf (dump_file, "Cannot analyze data dependencies\n");
|
|
522 free_data_refs (datarefs);
|
|
523 free_dependence_relations (dependences);
|
145
|
524 continue;
|
131
|
525 }
|
|
526 if (!datarefs.length ())
|
|
527 continue;
|
|
528
|
|
529 if (dump_file && (dump_flags & TDF_DETAILS))
|
|
530 dump_data_dependence_relations (dump_file, dependences);
|
|
531
|
|
532 unroll_factor = (unsigned)-1;
|
|
533 profit_unroll = 1;
|
|
534 removed = 0;
|
|
535
|
|
536 /* Check all dependencies. */
|
|
537 unsigned i;
|
|
538 struct data_dependence_relation *ddr;
|
|
539 FOR_EACH_VEC_ELT (dependences, i, ddr)
|
|
540 {
|
|
541 struct data_reference *dra, *drb;
|
|
542
|
|
543 /* If the refs are independend there's nothing to do. */
|
|
544 if (DDR_ARE_DEPENDENT (ddr) == chrec_known)
|
|
545 continue;
|
|
546 dra = DDR_A (ddr);
|
|
547 drb = DDR_B (ddr);
|
|
548 /* Nothing interesting for the self dependencies. */
|
|
549 if (dra == drb)
|
|
550 continue;
|
|
551
|
|
552 /* Now check the distance vector, for determining a sensible
|
|
553 outer unroll factor, and for validity of merging the inner
|
|
554 loop copies. */
|
145
|
555 if (!adjust_unroll_factor (loop, ddr, &unroll_factor, &profit_unroll,
|
131
|
556 &removed))
|
|
557 {
|
|
558 /* Couldn't get the distance vector. For two reads that's
|
145
|
559 harmless (we assume we should unroll). For at least
|
131
|
560 one write this means we can't check the dependence direction
|
|
561 and hence can't determine safety. */
|
|
562
|
|
563 if (DR_IS_WRITE (dra) || DR_IS_WRITE (drb))
|
|
564 {
|
|
565 unroll_factor = 0;
|
|
566 break;
|
|
567 }
|
|
568 }
|
|
569 }
|
|
570
|
|
571 /* We regard a user-specified minimum percentage of zero as a request
|
145
|
572 to ignore all profitability concerns and apply the transformation
|
131
|
573 always. */
|
145
|
574 if (!param_unroll_jam_min_percent)
|
|
575 profit_unroll = MAX(2, profit_unroll);
|
131
|
576 else if (removed * 100 / datarefs.length ()
|
145
|
577 < (unsigned)param_unroll_jam_min_percent)
|
131
|
578 profit_unroll = 1;
|
|
579 if (unroll_factor > profit_unroll)
|
|
580 unroll_factor = profit_unroll;
|
145
|
581 if (unroll_factor > (unsigned)param_unroll_jam_max_unroll)
|
|
582 unroll_factor = param_unroll_jam_max_unroll;
|
131
|
583 unroll = (unroll_factor > 1
|
|
584 && can_unroll_loop_p (outer, unroll_factor, &desc));
|
|
585
|
|
586 if (unroll)
|
|
587 {
|
|
588 if (dump_enabled_p ())
|
|
589 dump_printf_loc (MSG_OPTIMIZED_LOCATIONS | TDF_DETAILS,
|
|
590 find_loop_location (outer),
|
|
591 "applying unroll and jam with factor %d\n",
|
|
592 unroll_factor);
|
|
593 initialize_original_copy_tables ();
|
|
594 tree_unroll_loop (outer, unroll_factor, single_dom_exit (outer),
|
|
595 &desc);
|
|
596 free_original_copy_tables ();
|
|
597 fuse_loops (outer->inner);
|
|
598 changed = true;
|
|
599 }
|
|
600
|
|
601 loop_nest.release ();
|
|
602 free_dependence_relations (dependences);
|
|
603 free_data_refs (datarefs);
|
|
604 }
|
|
605
|
|
606 if (changed)
|
|
607 {
|
|
608 scev_reset ();
|
|
609 free_dominance_info (CDI_DOMINATORS);
|
|
610 return TODO_cleanup_cfg;
|
|
611 }
|
|
612 return 0;
|
|
613 }
|
|
614
|
|
615 /* Pass boilerplate */
|
|
616
|
|
617 namespace {
|
|
618
|
|
619 const pass_data pass_data_loop_jam =
|
|
620 {
|
|
621 GIMPLE_PASS, /* type */
|
|
622 "unrolljam", /* name */
|
|
623 OPTGROUP_LOOP, /* optinfo_flags */
|
|
624 TV_LOOP_JAM, /* tv_id */
|
|
625 PROP_cfg, /* properties_required */
|
|
626 0, /* properties_provided */
|
|
627 0, /* properties_destroyed */
|
|
628 0, /* todo_flags_start */
|
|
629 0, /* todo_flags_finish */
|
|
630 };
|
|
631
|
|
632 class pass_loop_jam : public gimple_opt_pass
|
|
633 {
|
|
634 public:
|
|
635 pass_loop_jam (gcc::context *ctxt)
|
|
636 : gimple_opt_pass (pass_data_loop_jam, ctxt)
|
|
637 {}
|
|
638
|
|
639 /* opt_pass methods: */
|
|
640 virtual bool gate (function *) { return flag_unroll_jam != 0; }
|
|
641 virtual unsigned int execute (function *);
|
|
642
|
|
643 };
|
|
644
|
|
645 unsigned int
|
|
646 pass_loop_jam::execute (function *fun)
|
|
647 {
|
|
648 if (number_of_loops (fun) <= 1)
|
|
649 return 0;
|
|
650
|
|
651 return tree_loop_unroll_and_jam ();
|
|
652 }
|
|
653
|
|
654 }
|
|
655
|
|
656 gimple_opt_pass *
|
|
657 make_pass_loop_jam (gcc::context *ctxt)
|
|
658 {
|
|
659 return new pass_loop_jam (ctxt);
|
|
660 }
|