tree-ssa-loop-niter.c (estimate_numbers_of_iterations_loop): Do not predict loops with multiple exits realistically.
* tree-ssa-loop-niter.c (estimate_numbers_of_iterations_loop): Do not predict loops with multiple exits realistically. * cfgloopanal.c (single_likely_exit): New function. * gcc.dg/unroll_5.c: New testcase. From-SVN: r192433
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5 changed files with 75 additions and 1 deletions
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@ -1,3 +1,9 @@
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2012-10-14 Jan Hubicka <jh@suse.cz>
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* tree-ssa-loop-niter.c (estimate_numbers_of_iterations_loop): Do not
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predict loops with multiple exits realistically.
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* cfgloopanal.c (single_likely_exit): New function.
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2012-10-14 Uros Bizjak <ubizjak@gmail.com>
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* config/alpha/alpha.md: Remove empty predicates and/or constraints.
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@ -446,3 +446,40 @@ mark_loop_exit_edges (void)
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}
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}
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/* Return exit edge if loop has only one exit that is likely
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to be executed on runtime (i.e. it is not EH or leading
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to noreturn call. */
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edge
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single_likely_exit (struct loop *loop)
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{
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edge found = single_exit (loop);
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VEC (edge, heap) *exits;
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unsigned i;
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edge ex;
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if (found)
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return found;
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exits = get_loop_exit_edges (loop);
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FOR_EACH_VEC_ELT (edge, exits, i, ex)
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{
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if (ex->flags & (EDGE_EH | EDGE_ABNORMAL_CALL))
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continue;
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/* The constant of 5 is set in a way so noreturn calls are
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ruled out by this test. The static branch prediction algorithm
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will not assign such a low probability to conditionals for usual
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reasons. */
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if (profile_status != PROFILE_ABSENT
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&& ex->probability < 5 && !ex->count)
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continue;
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if (!found)
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found = ex;
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else
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{
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VEC_free (edge, heap, exits);
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return NULL;
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}
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}
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VEC_free (edge, heap, exits);
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return found;
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}
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@ -1,3 +1,7 @@
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2012-10-14 Jan Hubicka <jh@suse.cz>
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* gcc.dg/unroll_5.c: New testcase.
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2012-10-14 Paolo Carlini <paolo.carlini@oracle.com>
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PR c++/52643
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25
gcc/testsuite/gcc.dg/unroll_5.c
Normal file
25
gcc/testsuite/gcc.dg/unroll_5.c
Normal file
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@ -0,0 +1,25 @@
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/* { dg-do compile } */
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/* { dg-options "-O3 -fdump-rtl-loop2_unroll -funroll-loops" } */
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void abort (void);
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int *a;
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int t()
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{
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int i;
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for (i=0;i<1000000;i++)
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if (a[i])
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return 1;
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return 0;
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}
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int t2()
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{
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int i;
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for (i=0;i<3000000;i++)
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if (a[i])
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abort ();
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return 0;
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}
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/* { dg-final { scan-rtl-dump-times "upper bound: 999999" 1 "loop2_unroll" } } */
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/* { dg-final { scan-rtl-dump-not "realistic bound: 999999" "loop2_unroll" } } */
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/* { dg-final { scan-rtl-dump-times "upper bound: 2999999" 1 "loop2_unroll" } } */
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/* { dg-final { scan-rtl-dump-times "realistic bound: 2999999" 1 "loop2_unroll" } } */
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/* { dg-final { cleanup-rtl-dump "loop2_unroll" } } */
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@ -2965,6 +2965,7 @@ estimate_numbers_of_iterations_loop (struct loop *loop)
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struct tree_niter_desc niter_desc;
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edge ex;
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double_int bound;
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edge likely_exit;
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/* Give up if we already have tried to compute an estimation. */
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if (loop->estimate_state != EST_NOT_COMPUTED)
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loop->any_estimate = false;
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exits = get_loop_exit_edges (loop);
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likely_exit = single_likely_exit (loop);
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FOR_EACH_VEC_ELT (edge, exits, i, ex)
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{
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if (!number_of_iterations_exit (loop, ex, &niter_desc, false))
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@ -2988,7 +2990,7 @@ estimate_numbers_of_iterations_loop (struct loop *loop)
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niter);
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record_estimate (loop, niter, niter_desc.max,
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last_stmt (ex->src),
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true, true, true);
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true, ex == likely_exit, true);
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}
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VEC_free (edge, heap, exits);
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