1952e2e1c1
These bits are taken from the FSF anoncvs repo on 1-Feb-2002 08:20 PST.
972 lines
28 KiB
C
972 lines
28 KiB
C
/* Branch prediction routines for the GNU compiler.
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Copyright (C) 2000, 2001, 2002 Free Software Foundation, Inc.
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This file is part of GCC.
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GCC is free software; you can redistribute it and/or modify it under
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the terms of the GNU General Public License as published by the Free
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Software Foundation; either version 2, or (at your option) any later
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version.
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GCC is distributed in the hope that it will be useful, but WITHOUT ANY
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WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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along with GCC; see the file COPYING. If not, write to the Free
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Software Foundation, 59 Temple Place - Suite 330, Boston, MA
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02111-1307, USA. */
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/* References:
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[1] "Branch Prediction for Free"
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Ball and Larus; PLDI '93.
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[2] "Static Branch Frequency and Program Profile Analysis"
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Wu and Larus; MICRO-27.
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[3] "Corpus-based Static Branch Prediction"
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Calder, Grunwald, Lindsay, Martin, Mozer, and Zorn; PLDI '95. */
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#include "config.h"
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#include "system.h"
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#include "tree.h"
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#include "rtl.h"
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#include "tm_p.h"
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#include "hard-reg-set.h"
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#include "basic-block.h"
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#include "insn-config.h"
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#include "regs.h"
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#include "flags.h"
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#include "output.h"
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#include "function.h"
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#include "except.h"
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#include "toplev.h"
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#include "recog.h"
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#include "expr.h"
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#include "predict.h"
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/* Random guesstimation given names. */
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#define PROB_NEVER (0)
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#define PROB_VERY_UNLIKELY (REG_BR_PROB_BASE / 10 - 1)
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#define PROB_UNLIKELY (REG_BR_PROB_BASE * 4 / 10 - 1)
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#define PROB_EVEN (REG_BR_PROB_BASE / 2)
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#define PROB_LIKELY (REG_BR_PROB_BASE - PROB_UNLIKELY)
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#define PROB_VERY_LIKELY (REG_BR_PROB_BASE - PROB_VERY_UNLIKELY)
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#define PROB_ALWAYS (REG_BR_PROB_BASE)
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static void combine_predictions_for_insn PARAMS ((rtx, basic_block));
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static void dump_prediction PARAMS ((enum br_predictor, int,
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basic_block, int));
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static void estimate_loops_at_level PARAMS ((struct loop *loop));
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static void propagate_freq PARAMS ((basic_block));
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static void estimate_bb_frequencies PARAMS ((struct loops *));
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static void counts_to_freqs PARAMS ((void));
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/* Information we hold about each branch predictor.
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Filled using information from predict.def. */
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struct predictor_info
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{
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const char *const name; /* Name used in the debugging dumps. */
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const int hitrate; /* Expected hitrate used by
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predict_insn_def call. */
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const int flags;
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};
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/* Use given predictor without Dempster-Shaffer theory if it matches
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using first_match heuristics. */
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#define PRED_FLAG_FIRST_MATCH 1
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/* Recompute hitrate in percent to our representation. */
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#define HITRATE(VAL) ((int) ((VAL) * REG_BR_PROB_BASE + 50) / 100)
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#define DEF_PREDICTOR(ENUM, NAME, HITRATE, FLAGS) {NAME, HITRATE, FLAGS},
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static const struct predictor_info predictor_info[]= {
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#include "predict.def"
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/* Upper bound on predictors. */
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{NULL, 0, 0}
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};
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#undef DEF_PREDICTOR
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void
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predict_insn (insn, predictor, probability)
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rtx insn;
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int probability;
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enum br_predictor predictor;
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{
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if (!any_condjump_p (insn))
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abort ();
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REG_NOTES (insn)
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= gen_rtx_EXPR_LIST (REG_BR_PRED,
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gen_rtx_CONCAT (VOIDmode,
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GEN_INT ((int) predictor),
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GEN_INT ((int) probability)),
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REG_NOTES (insn));
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}
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/* Predict insn by given predictor. */
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void
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predict_insn_def (insn, predictor, taken)
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rtx insn;
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enum br_predictor predictor;
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enum prediction taken;
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{
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int probability = predictor_info[(int) predictor].hitrate;
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if (taken != TAKEN)
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probability = REG_BR_PROB_BASE - probability;
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predict_insn (insn, predictor, probability);
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}
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/* Predict edge E with given probability if possible. */
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void
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predict_edge (e, predictor, probability)
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edge e;
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int probability;
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enum br_predictor predictor;
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{
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rtx last_insn;
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last_insn = e->src->end;
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/* We can store the branch prediction information only about
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conditional jumps. */
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if (!any_condjump_p (last_insn))
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return;
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/* We always store probability of branching. */
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if (e->flags & EDGE_FALLTHRU)
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probability = REG_BR_PROB_BASE - probability;
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predict_insn (last_insn, predictor, probability);
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}
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/* Predict edge E by given predictor if possible. */
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void
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predict_edge_def (e, predictor, taken)
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edge e;
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enum br_predictor predictor;
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enum prediction taken;
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{
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int probability = predictor_info[(int) predictor].hitrate;
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if (taken != TAKEN)
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probability = REG_BR_PROB_BASE - probability;
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predict_edge (e, predictor, probability);
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}
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/* Invert all branch predictions or probability notes in the INSN. This needs
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to be done each time we invert the condition used by the jump. */
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void
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invert_br_probabilities (insn)
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rtx insn;
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{
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rtx note;
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for (note = REG_NOTES (insn); note; note = XEXP (note, 1))
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if (REG_NOTE_KIND (note) == REG_BR_PROB)
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XEXP (note, 0) = GEN_INT (REG_BR_PROB_BASE - INTVAL (XEXP (note, 0)));
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else if (REG_NOTE_KIND (note) == REG_BR_PRED)
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XEXP (XEXP (note, 0), 1)
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= GEN_INT (REG_BR_PROB_BASE - INTVAL (XEXP (XEXP (note, 0), 1)));
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}
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/* Dump information about the branch prediction to the output file. */
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static void
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dump_prediction (predictor, probability, bb, used)
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enum br_predictor predictor;
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int probability;
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basic_block bb;
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int used;
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{
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edge e = bb->succ;
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if (!rtl_dump_file)
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return;
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while (e->flags & EDGE_FALLTHRU)
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e = e->succ_next;
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fprintf (rtl_dump_file, " %s heuristics%s: %.1f%%",
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predictor_info[predictor].name,
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used ? "" : " (ignored)", probability * 100.0 / REG_BR_PROB_BASE);
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if (bb->count)
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{
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fprintf (rtl_dump_file, " exec ");
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fprintf (rtl_dump_file, HOST_WIDEST_INT_PRINT_DEC, bb->count);
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fprintf (rtl_dump_file, " hit ");
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fprintf (rtl_dump_file, HOST_WIDEST_INT_PRINT_DEC, e->count);
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fprintf (rtl_dump_file, " (%.1f%%)", e->count * 100.0 / bb->count);
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}
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fprintf (rtl_dump_file, "\n");
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}
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/* Combine all REG_BR_PRED notes into single probability and attach REG_BR_PROB
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note if not already present. Remove now useless REG_BR_PRED notes. */
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static void
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combine_predictions_for_insn (insn, bb)
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rtx insn;
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basic_block bb;
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{
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rtx prob_note = find_reg_note (insn, REG_BR_PROB, 0);
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rtx *pnote = ®_NOTES (insn);
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rtx note;
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int best_probability = PROB_EVEN;
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int best_predictor = END_PREDICTORS;
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int combined_probability = REG_BR_PROB_BASE / 2;
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int d;
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bool first_match = false;
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bool found = false;
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if (rtl_dump_file)
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fprintf (rtl_dump_file, "Predictions for insn %i bb %i\n", INSN_UID (insn),
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bb->index);
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/* We implement "first match" heuristics and use probability guessed
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by predictor with smallest index. In the future we will use better
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probability combination techniques. */
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for (note = REG_NOTES (insn); note; note = XEXP (note, 1))
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if (REG_NOTE_KIND (note) == REG_BR_PRED)
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{
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int predictor = INTVAL (XEXP (XEXP (note, 0), 0));
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int probability = INTVAL (XEXP (XEXP (note, 0), 1));
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found = true;
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if (best_predictor > predictor)
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best_probability = probability, best_predictor = predictor;
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d = (combined_probability * probability
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+ (REG_BR_PROB_BASE - combined_probability)
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* (REG_BR_PROB_BASE - probability));
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/* Use FP math to avoid overflows of 32bit integers. */
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if (d == 0)
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/* If one probability is 0% and one 100%, avoid division by zero. */
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combined_probability = REG_BR_PROB_BASE / 2;
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else
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combined_probability = (((double) combined_probability) * probability
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* REG_BR_PROB_BASE / d + 0.5);
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}
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/* Decide which heuristic to use. In case we didn't match anything,
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use no_prediction heuristic, in case we did match, use either
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first match or Dempster-Shaffer theory depending on the flags. */
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if (predictor_info [best_predictor].flags & PRED_FLAG_FIRST_MATCH)
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first_match = true;
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if (!found)
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dump_prediction (PRED_NO_PREDICTION, combined_probability, bb, true);
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else
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{
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dump_prediction (PRED_DS_THEORY, combined_probability, bb, !first_match);
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dump_prediction (PRED_FIRST_MATCH, best_probability, bb, first_match);
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}
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if (first_match)
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combined_probability = best_probability;
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dump_prediction (PRED_COMBINED, combined_probability, bb, true);
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while (*pnote)
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{
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if (REG_NOTE_KIND (*pnote) == REG_BR_PRED)
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{
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int predictor = INTVAL (XEXP (XEXP (*pnote, 0), 0));
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int probability = INTVAL (XEXP (XEXP (*pnote, 0), 1));
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dump_prediction (predictor, probability, bb,
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!first_match || best_predictor == predictor);
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*pnote = XEXP (*pnote, 1);
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}
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else
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pnote = &XEXP (*pnote, 1);
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}
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if (!prob_note)
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{
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REG_NOTES (insn)
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= gen_rtx_EXPR_LIST (REG_BR_PROB,
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GEN_INT (combined_probability), REG_NOTES (insn));
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/* Save the prediction into CFG in case we are seeing non-degenerated
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conditional jump. */
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if (bb->succ->succ_next)
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{
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BRANCH_EDGE (bb)->probability = combined_probability;
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FALLTHRU_EDGE (bb)->probability
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= REG_BR_PROB_BASE - combined_probability;
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}
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}
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}
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/* Statically estimate the probability that a branch will be taken.
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??? In the next revision there will be a number of other predictors added
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from the above references. Further, each heuristic will be factored out
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into its own function for clarity (and to facilitate the combination of
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predictions). */
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void
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estimate_probability (loops_info)
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struct loops *loops_info;
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{
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sbitmap *dominators, *post_dominators;
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int i;
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int found_noreturn = 0;
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dominators = sbitmap_vector_alloc (n_basic_blocks, n_basic_blocks);
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post_dominators = sbitmap_vector_alloc (n_basic_blocks, n_basic_blocks);
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calculate_dominance_info (NULL, dominators, CDI_DOMINATORS);
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calculate_dominance_info (NULL, post_dominators, CDI_POST_DOMINATORS);
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/* Try to predict out blocks in a loop that are not part of a
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natural loop. */
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for (i = 0; i < loops_info->num; i++)
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{
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int j;
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int exits;
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struct loop *loop = &loops_info->array[i];
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flow_loop_scan (loops_info, loop, LOOP_EXIT_EDGES);
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exits = loop->num_exits;
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for (j = loop->first->index; j <= loop->last->index; ++j)
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if (TEST_BIT (loop->nodes, j))
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{
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int header_found = 0;
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edge e;
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/* Loop branch heuristics - predict an edge back to a
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loop's head as taken. */
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for (e = BASIC_BLOCK(j)->succ; e; e = e->succ_next)
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if (e->dest == loop->header
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&& e->src == loop->latch)
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{
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header_found = 1;
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predict_edge_def (e, PRED_LOOP_BRANCH, TAKEN);
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}
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/* Loop exit heuristics - predict an edge exiting the loop if the
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conditinal has no loop header successors as not taken. */
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if (!header_found)
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for (e = BASIC_BLOCK(j)->succ; e; e = e->succ_next)
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if (e->dest->index < 0
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|| !TEST_BIT (loop->nodes, e->dest->index))
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predict_edge
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(e, PRED_LOOP_EXIT,
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(REG_BR_PROB_BASE
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- predictor_info [(int) PRED_LOOP_EXIT].hitrate)
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/ exits);
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}
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}
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/* Attempt to predict conditional jumps using a number of heuristics. */
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for (i = 0; i < n_basic_blocks; i++)
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{
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basic_block bb = BASIC_BLOCK (i);
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rtx last_insn = bb->end;
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rtx cond, earliest;
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edge e;
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/* If block has no successor, predict all possible paths to it as
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improbable, as the block contains a call to a noreturn function and
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thus can be executed only once. */
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if (bb->succ == NULL && !found_noreturn)
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{
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int y;
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/* ??? Postdominator claims each noreturn block to be postdominated
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by each, so we need to run only once. This needs to be changed
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once postdominace algorithm is updated to say something more
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sane. */
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found_noreturn = 1;
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for (y = 0; y < n_basic_blocks; y++)
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if (!TEST_BIT (post_dominators[y], i))
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for (e = BASIC_BLOCK (y)->succ; e; e = e->succ_next)
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if (e->dest->index >= 0
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&& TEST_BIT (post_dominators[e->dest->index], i))
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predict_edge_def (e, PRED_NORETURN, NOT_TAKEN);
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}
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if (GET_CODE (last_insn) != JUMP_INSN || ! any_condjump_p (last_insn))
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continue;
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for (e = bb->succ; e; e = e->succ_next)
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{
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/* Predict edges to blocks that return immediately to be
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improbable. These are usually used to signal error states. */
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if (e->dest == EXIT_BLOCK_PTR
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|| (e->dest->succ && !e->dest->succ->succ_next
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&& e->dest->succ->dest == EXIT_BLOCK_PTR))
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predict_edge_def (e, PRED_ERROR_RETURN, NOT_TAKEN);
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/* Look for block we are guarding (ie we dominate it,
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but it doesn't postdominate us). */
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if (e->dest != EXIT_BLOCK_PTR && e->dest != bb
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&& TEST_BIT (dominators[e->dest->index], e->src->index)
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&& !TEST_BIT (post_dominators[e->src->index], e->dest->index))
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{
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rtx insn;
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/* The call heuristic claims that a guarded function call
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is improbable. This is because such calls are often used
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to signal exceptional situations such as printing error
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messages. */
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for (insn = e->dest->head; insn != NEXT_INSN (e->dest->end);
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insn = NEXT_INSN (insn))
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if (GET_CODE (insn) == CALL_INSN
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/* Constant and pure calls are hardly used to signalize
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something exceptional. */
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&& ! CONST_OR_PURE_CALL_P (insn))
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{
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predict_edge_def (e, PRED_CALL, NOT_TAKEN);
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break;
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}
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}
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}
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cond = get_condition (last_insn, &earliest);
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if (! cond)
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continue;
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/* Try "pointer heuristic."
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A comparison ptr == 0 is predicted as false.
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Similarly, a comparison ptr1 == ptr2 is predicted as false. */
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if (GET_RTX_CLASS (GET_CODE (cond)) == '<'
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&& ((REG_P (XEXP (cond, 0)) && REG_POINTER (XEXP (cond, 0)))
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|| (REG_P (XEXP (cond, 1)) && REG_POINTER (XEXP (cond, 1)))))
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{
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if (GET_CODE (cond) == EQ)
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predict_insn_def (last_insn, PRED_POINTER, NOT_TAKEN);
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else if (GET_CODE (cond) == NE)
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predict_insn_def (last_insn, PRED_POINTER, TAKEN);
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}
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else
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/* Try "opcode heuristic."
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EQ tests are usually false and NE tests are usually true. Also,
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most quantities are positive, so we can make the appropriate guesses
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about signed comparisons against zero. */
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switch (GET_CODE (cond))
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{
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case CONST_INT:
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/* Unconditional branch. */
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predict_insn_def (last_insn, PRED_UNCONDITIONAL,
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cond == const0_rtx ? NOT_TAKEN : TAKEN);
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break;
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case EQ:
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case UNEQ:
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/* Floating point comparisons appears to behave in a very
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inpredictable way because of special role of = tests in
|
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FP code. */
|
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if (FLOAT_MODE_P (GET_MODE (XEXP (cond, 0))))
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;
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/* Comparisons with 0 are often used for booleans and there is
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nothing usefull to predict about them. */
|
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else if (XEXP (cond, 1) == const0_rtx
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|| XEXP (cond, 0) == const0_rtx)
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;
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else
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predict_insn_def (last_insn, PRED_OPCODE_NONEQUAL, NOT_TAKEN);
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break;
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case NE:
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case LTGT:
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/* Floating point comparisons appears to behave in a very
|
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inpredictable way because of special role of = tests in
|
||
FP code. */
|
||
if (FLOAT_MODE_P (GET_MODE (XEXP (cond, 0))))
|
||
;
|
||
/* Comparisons with 0 are often used for booleans and there is
|
||
nothing usefull to predict about them. */
|
||
else if (XEXP (cond, 1) == const0_rtx
|
||
|| XEXP (cond, 0) == const0_rtx)
|
||
;
|
||
else
|
||
predict_insn_def (last_insn, PRED_OPCODE_NONEQUAL, TAKEN);
|
||
break;
|
||
|
||
case ORDERED:
|
||
predict_insn_def (last_insn, PRED_FPOPCODE, TAKEN);
|
||
break;
|
||
|
||
case UNORDERED:
|
||
predict_insn_def (last_insn, PRED_FPOPCODE, NOT_TAKEN);
|
||
break;
|
||
|
||
case LE:
|
||
case LT:
|
||
if (XEXP (cond, 1) == const0_rtx || XEXP (cond, 1) == const1_rtx
|
||
|| XEXP (cond, 1) == constm1_rtx)
|
||
predict_insn_def (last_insn, PRED_OPCODE_POSITIVE, NOT_TAKEN);
|
||
break;
|
||
|
||
case GE:
|
||
case GT:
|
||
if (XEXP (cond, 1) == const0_rtx || XEXP (cond, 1) == const1_rtx
|
||
|| XEXP (cond, 1) == constm1_rtx)
|
||
predict_insn_def (last_insn, PRED_OPCODE_POSITIVE, TAKEN);
|
||
break;
|
||
|
||
default:
|
||
break;
|
||
}
|
||
}
|
||
|
||
/* Attach the combined probability to each conditional jump. */
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
if (GET_CODE (BLOCK_END (i)) == JUMP_INSN
|
||
&& any_condjump_p (BLOCK_END (i)))
|
||
combine_predictions_for_insn (BLOCK_END (i), BASIC_BLOCK (i));
|
||
|
||
sbitmap_vector_free (post_dominators);
|
||
sbitmap_vector_free (dominators);
|
||
|
||
estimate_bb_frequencies (loops_info);
|
||
}
|
||
|
||
/* __builtin_expect dropped tokens into the insn stream describing expected
|
||
values of registers. Generate branch probabilities based off these
|
||
values. */
|
||
|
||
void
|
||
expected_value_to_br_prob ()
|
||
{
|
||
rtx insn, cond, ev = NULL_RTX, ev_reg = NULL_RTX;
|
||
|
||
for (insn = get_insns (); insn ; insn = NEXT_INSN (insn))
|
||
{
|
||
switch (GET_CODE (insn))
|
||
{
|
||
case NOTE:
|
||
/* Look for expected value notes. */
|
||
if (NOTE_LINE_NUMBER (insn) == NOTE_INSN_EXPECTED_VALUE)
|
||
{
|
||
ev = NOTE_EXPECTED_VALUE (insn);
|
||
ev_reg = XEXP (ev, 0);
|
||
delete_insn (insn);
|
||
}
|
||
continue;
|
||
|
||
case CODE_LABEL:
|
||
/* Never propagate across labels. */
|
||
ev = NULL_RTX;
|
||
continue;
|
||
|
||
case JUMP_INSN:
|
||
/* Look for simple conditional branches. If we haven't got an
|
||
expected value yet, no point going further. */
|
||
if (GET_CODE (insn) != JUMP_INSN || ev == NULL_RTX
|
||
|| ! any_condjump_p (insn))
|
||
continue;
|
||
break;
|
||
|
||
default:
|
||
/* Look for insns that clobber the EV register. */
|
||
if (ev && reg_set_p (ev_reg, insn))
|
||
ev = NULL_RTX;
|
||
continue;
|
||
}
|
||
|
||
/* Collect the branch condition, hopefully relative to EV_REG. */
|
||
/* ??? At present we'll miss things like
|
||
(expected_value (eq r70 0))
|
||
(set r71 -1)
|
||
(set r80 (lt r70 r71))
|
||
(set pc (if_then_else (ne r80 0) ...))
|
||
as canonicalize_condition will render this to us as
|
||
(lt r70, r71)
|
||
Could use cselib to try and reduce this further. */
|
||
cond = XEXP (SET_SRC (pc_set (insn)), 0);
|
||
cond = canonicalize_condition (insn, cond, 0, NULL, ev_reg);
|
||
if (! cond || XEXP (cond, 0) != ev_reg
|
||
|| GET_CODE (XEXP (cond, 1)) != CONST_INT)
|
||
continue;
|
||
|
||
/* Substitute and simplify. Given that the expression we're
|
||
building involves two constants, we should wind up with either
|
||
true or false. */
|
||
cond = gen_rtx_fmt_ee (GET_CODE (cond), VOIDmode,
|
||
XEXP (ev, 1), XEXP (cond, 1));
|
||
cond = simplify_rtx (cond);
|
||
|
||
/* Turn the condition into a scaled branch probability. */
|
||
if (cond != const_true_rtx && cond != const0_rtx)
|
||
abort ();
|
||
predict_insn_def (insn, PRED_BUILTIN_EXPECT,
|
||
cond == const_true_rtx ? TAKEN : NOT_TAKEN);
|
||
}
|
||
}
|
||
|
||
/* This is used to carry information about basic blocks. It is
|
||
attached to the AUX field of the standard CFG block. */
|
||
|
||
typedef struct block_info_def
|
||
{
|
||
/* Estimated frequency of execution of basic_block. */
|
||
volatile double frequency;
|
||
|
||
/* To keep queue of basic blocks to process. */
|
||
basic_block next;
|
||
|
||
/* True if block needs to be visited in prop_freqency. */
|
||
int tovisit:1;
|
||
|
||
/* Number of predecessors we need to visit first. */
|
||
int npredecessors;
|
||
} *block_info;
|
||
|
||
/* Similar information for edges. */
|
||
typedef struct edge_info_def
|
||
{
|
||
/* In case edge is an loopback edge, the probability edge will be reached
|
||
in case header is. Estimated number of iterations of the loop can be
|
||
then computed as 1 / (1 - back_edge_prob).
|
||
|
||
Volatile is needed to avoid differences in the optimized and unoptimized
|
||
builds on machines where FP registers are wider than double. */
|
||
volatile double back_edge_prob;
|
||
/* True if the edge is an loopback edge in the natural loop. */
|
||
int back_edge:1;
|
||
} *edge_info;
|
||
|
||
#define BLOCK_INFO(B) ((block_info) (B)->aux)
|
||
#define EDGE_INFO(E) ((edge_info) (E)->aux)
|
||
|
||
/* Helper function for estimate_bb_frequencies.
|
||
Propagate the frequencies for loops headed by HEAD. */
|
||
|
||
static void
|
||
propagate_freq (head)
|
||
basic_block head;
|
||
{
|
||
basic_block bb = head;
|
||
basic_block last = bb;
|
||
edge e;
|
||
basic_block nextbb;
|
||
int n;
|
||
|
||
/* For each basic block we need to visit count number of his predecessors
|
||
we need to visit first. */
|
||
for (n = 0; n < n_basic_blocks; n++)
|
||
{
|
||
basic_block bb = BASIC_BLOCK (n);
|
||
if (BLOCK_INFO (bb)->tovisit)
|
||
{
|
||
int count = 0;
|
||
|
||
for (e = bb->pred; e; e = e->pred_next)
|
||
if (BLOCK_INFO (e->src)->tovisit && !(e->flags & EDGE_DFS_BACK))
|
||
count++;
|
||
else if (BLOCK_INFO (e->src)->tovisit
|
||
&& rtl_dump_file && !EDGE_INFO (e)->back_edge)
|
||
fprintf (rtl_dump_file,
|
||
"Irreducible region hit, ignoring edge to %i->%i\n",
|
||
e->src->index, bb->index);
|
||
BLOCK_INFO (bb)->npredecessors = count;
|
||
}
|
||
}
|
||
|
||
BLOCK_INFO (head)->frequency = 1;
|
||
for (; bb; bb = nextbb)
|
||
{
|
||
double cyclic_probability = 0, frequency = 0;
|
||
|
||
nextbb = BLOCK_INFO (bb)->next;
|
||
BLOCK_INFO (bb)->next = NULL;
|
||
|
||
/* Compute frequency of basic block. */
|
||
if (bb != head)
|
||
{
|
||
#ifdef ENABLE_CHECKING
|
||
for (e = bb->pred; e; e = e->pred_next)
|
||
if (BLOCK_INFO (e->src)->tovisit && !(e->flags & EDGE_DFS_BACK))
|
||
abort ();
|
||
#endif
|
||
|
||
for (e = bb->pred; e; e = e->pred_next)
|
||
if (EDGE_INFO (e)->back_edge)
|
||
cyclic_probability += EDGE_INFO (e)->back_edge_prob;
|
||
else if (!(e->flags & EDGE_DFS_BACK))
|
||
frequency += (e->probability
|
||
* BLOCK_INFO (e->src)->frequency /
|
||
REG_BR_PROB_BASE);
|
||
|
||
if (cyclic_probability > 1.0 - 1.0 / REG_BR_PROB_BASE)
|
||
cyclic_probability = 1.0 - 1.0 / REG_BR_PROB_BASE;
|
||
|
||
BLOCK_INFO (bb)->frequency = frequency / (1 - cyclic_probability);
|
||
}
|
||
|
||
BLOCK_INFO (bb)->tovisit = 0;
|
||
|
||
/* Compute back edge frequencies. */
|
||
for (e = bb->succ; e; e = e->succ_next)
|
||
if (e->dest == head)
|
||
EDGE_INFO (e)->back_edge_prob
|
||
= ((e->probability * BLOCK_INFO (bb)->frequency)
|
||
/ REG_BR_PROB_BASE);
|
||
|
||
/* Propagate to successor blocks. */
|
||
for (e = bb->succ; e; e = e->succ_next)
|
||
if (!(e->flags & EDGE_DFS_BACK)
|
||
&& BLOCK_INFO (e->dest)->npredecessors)
|
||
{
|
||
BLOCK_INFO (e->dest)->npredecessors--;
|
||
if (!BLOCK_INFO (e->dest)->npredecessors)
|
||
{
|
||
if (!nextbb)
|
||
nextbb = e->dest;
|
||
else
|
||
BLOCK_INFO (last)->next = e->dest;
|
||
|
||
last = e->dest;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
/* Estimate probabilities of loopback edges in loops at same nest level. */
|
||
|
||
static void
|
||
estimate_loops_at_level (first_loop)
|
||
struct loop *first_loop;
|
||
{
|
||
struct loop *l, *loop = first_loop;
|
||
|
||
for (loop = first_loop; loop; loop = loop->next)
|
||
{
|
||
int n;
|
||
edge e;
|
||
|
||
estimate_loops_at_level (loop->inner);
|
||
|
||
/* Find current loop back edge and mark it. */
|
||
for (e = loop->latch->succ; e->dest != loop->header; e = e->succ_next)
|
||
;
|
||
|
||
EDGE_INFO (e)->back_edge = 1;
|
||
|
||
/* In case the loop header is shared, ensure that it is the last
|
||
one sharing the same header, so we avoid redundant work. */
|
||
if (loop->shared)
|
||
{
|
||
for (l = loop->next; l; l = l->next)
|
||
if (l->header == loop->header)
|
||
break;
|
||
|
||
if (l)
|
||
continue;
|
||
}
|
||
|
||
/* Now merge all nodes of all loops with given header as not visited. */
|
||
for (l = loop->shared ? first_loop : loop; l != loop->next; l = l->next)
|
||
if (loop->header == l->header)
|
||
EXECUTE_IF_SET_IN_SBITMAP (l->nodes, 0, n,
|
||
BLOCK_INFO (BASIC_BLOCK (n))->tovisit = 1
|
||
);
|
||
|
||
propagate_freq (loop->header);
|
||
}
|
||
}
|
||
|
||
/* Convert counts measured by profile driven feedback to frequencies. */
|
||
|
||
static void
|
||
counts_to_freqs ()
|
||
{
|
||
HOST_WIDEST_INT count_max = 1;
|
||
int i;
|
||
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
count_max = MAX (BASIC_BLOCK (i)->count, count_max);
|
||
|
||
for (i = -2; i < n_basic_blocks; i++)
|
||
{
|
||
basic_block bb;
|
||
|
||
if (i == -2)
|
||
bb = ENTRY_BLOCK_PTR;
|
||
else if (i == -1)
|
||
bb = EXIT_BLOCK_PTR;
|
||
else
|
||
bb = BASIC_BLOCK (i);
|
||
|
||
bb->frequency = (bb->count * BB_FREQ_MAX + count_max / 2) / count_max;
|
||
}
|
||
}
|
||
|
||
/* Return true if function is likely to be expensive, so there is no point to
|
||
optimize performance of prologue, epilogue or do inlining at the expense
|
||
of code size growth. THRESHOLD is the limit of number of isntructions
|
||
function can execute at average to be still considered not expensive. */
|
||
|
||
bool
|
||
expensive_function_p (threshold)
|
||
int threshold;
|
||
{
|
||
unsigned int sum = 0;
|
||
int i;
|
||
unsigned int limit;
|
||
|
||
/* We can not compute accurately for large thresholds due to scaled
|
||
frequencies. */
|
||
if (threshold > BB_FREQ_MAX)
|
||
abort ();
|
||
|
||
/* Frequencies are out of range. This either means that function contains
|
||
internal loop executing more than BB_FREQ_MAX times or profile feedback
|
||
is available and function has not been executed at all. */
|
||
if (ENTRY_BLOCK_PTR->frequency == 0)
|
||
return true;
|
||
|
||
/* Maximally BB_FREQ_MAX^2 so overflow won't happen. */
|
||
limit = ENTRY_BLOCK_PTR->frequency * threshold;
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
{
|
||
basic_block bb = BASIC_BLOCK (i);
|
||
rtx insn;
|
||
|
||
for (insn = bb->head; insn != NEXT_INSN (bb->end);
|
||
insn = NEXT_INSN (insn))
|
||
if (active_insn_p (insn))
|
||
{
|
||
sum += bb->frequency;
|
||
if (sum > limit)
|
||
return true;
|
||
}
|
||
}
|
||
|
||
return false;
|
||
}
|
||
|
||
/* Estimate basic blocks frequency by given branch probabilities. */
|
||
|
||
static void
|
||
estimate_bb_frequencies (loops)
|
||
struct loops *loops;
|
||
{
|
||
int i;
|
||
double freq_max = 0;
|
||
|
||
mark_dfs_back_edges ();
|
||
if (flag_branch_probabilities)
|
||
{
|
||
counts_to_freqs ();
|
||
return;
|
||
}
|
||
|
||
/* Fill in the probability values in flowgraph based on the REG_BR_PROB
|
||
notes. */
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
{
|
||
rtx last_insn = BLOCK_END (i);
|
||
int probability;
|
||
edge fallthru, branch;
|
||
|
||
if (GET_CODE (last_insn) != JUMP_INSN || !any_condjump_p (last_insn)
|
||
/* Avoid handling of conditional jumps jumping to fallthru edge. */
|
||
|| BASIC_BLOCK (i)->succ->succ_next == NULL)
|
||
{
|
||
/* We can predict only conditional jumps at the moment.
|
||
Expect each edge to be equally probable.
|
||
?? In the future we want to make abnormal edges improbable. */
|
||
int nedges = 0;
|
||
edge e;
|
||
|
||
for (e = BASIC_BLOCK (i)->succ; e; e = e->succ_next)
|
||
{
|
||
nedges++;
|
||
if (e->probability != 0)
|
||
break;
|
||
}
|
||
if (!e)
|
||
for (e = BASIC_BLOCK (i)->succ; e; e = e->succ_next)
|
||
e->probability = (REG_BR_PROB_BASE + nedges / 2) / nedges;
|
||
}
|
||
else
|
||
{
|
||
probability = INTVAL (XEXP (find_reg_note (last_insn,
|
||
REG_BR_PROB, 0), 0));
|
||
fallthru = BASIC_BLOCK (i)->succ;
|
||
if (!fallthru->flags & EDGE_FALLTHRU)
|
||
fallthru = fallthru->succ_next;
|
||
branch = BASIC_BLOCK (i)->succ;
|
||
if (branch->flags & EDGE_FALLTHRU)
|
||
branch = branch->succ_next;
|
||
|
||
branch->probability = probability;
|
||
fallthru->probability = REG_BR_PROB_BASE - probability;
|
||
}
|
||
}
|
||
|
||
ENTRY_BLOCK_PTR->succ->probability = REG_BR_PROB_BASE;
|
||
|
||
/* Set up block info for each basic block. */
|
||
alloc_aux_for_blocks (sizeof (struct block_info_def));
|
||
alloc_aux_for_edges (sizeof (struct edge_info_def));
|
||
for (i = -2; i < n_basic_blocks; i++)
|
||
{
|
||
edge e;
|
||
basic_block bb;
|
||
|
||
if (i == -2)
|
||
bb = ENTRY_BLOCK_PTR;
|
||
else if (i == -1)
|
||
bb = EXIT_BLOCK_PTR;
|
||
else
|
||
bb = BASIC_BLOCK (i);
|
||
|
||
BLOCK_INFO (bb)->tovisit = 0;
|
||
for (e = bb->succ; e; e = e->succ_next)
|
||
EDGE_INFO (e)->back_edge_prob = ((double) e->probability
|
||
/ REG_BR_PROB_BASE);
|
||
}
|
||
|
||
/* First compute probabilities locally for each loop from innermost
|
||
to outermost to examine probabilities for back edges. */
|
||
estimate_loops_at_level (loops->tree_root);
|
||
|
||
/* Now fake loop around whole function to finalize probabilities. */
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
BLOCK_INFO (BASIC_BLOCK (i))->tovisit = 1;
|
||
|
||
BLOCK_INFO (ENTRY_BLOCK_PTR)->tovisit = 1;
|
||
BLOCK_INFO (EXIT_BLOCK_PTR)->tovisit = 1;
|
||
propagate_freq (ENTRY_BLOCK_PTR);
|
||
|
||
for (i = 0; i < n_basic_blocks; i++)
|
||
if (BLOCK_INFO (BASIC_BLOCK (i))->frequency > freq_max)
|
||
freq_max = BLOCK_INFO (BASIC_BLOCK (i))->frequency;
|
||
|
||
for (i = -2; i < n_basic_blocks; i++)
|
||
{
|
||
basic_block bb;
|
||
|
||
if (i == -2)
|
||
bb = ENTRY_BLOCK_PTR;
|
||
else if (i == -1)
|
||
bb = EXIT_BLOCK_PTR;
|
||
else
|
||
bb = BASIC_BLOCK (i);
|
||
bb->frequency
|
||
= BLOCK_INFO (bb)->frequency * BB_FREQ_MAX / freq_max + 0.5;
|
||
}
|
||
|
||
free_aux_for_blocks ();
|
||
free_aux_for_edges ();
|
||
}
|