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authorBin Cheng <bin.cheng@arm.com>2016-07-29 15:44:00 +0000
committerBin Cheng <amker@gcc.gnu.org>2016-07-29 15:44:00 +0000
commit18767ebc32eaed40760aab394fe77d0815454efd (patch)
treea1a32cebdc504645bd7b6aa9f95e65a49b16c9a7 /gcc/doc/loop.texi
parentf6c7a248d5eb50e3cfcf15e552c2be698ebea34b (diff)
cfgloop.h (struct loop): New field constraints.
* cfgloop.h (struct loop): New field constraints. (LOOP_C_INFINITE, LOOP_C_FINITE): New macros. (loop_constraint_set, loop_constraint_clr, loop_constraint_set_p): New functions. * cfgloop.c (alloc_loop): Initialize new field. * cfgloopmanip.c (copy_loop_info): Copy constraints. * tree-ssa-loop-niter.c (number_of_iterations_exit_assumptions): Adjust niter analysis wrto loop constraints. * doc/loop.texi (@node Number of iterations): Add description for loop constraints. From-SVN: r238876
Diffstat (limited to 'gcc/doc/loop.texi')
-rw-r--r--gcc/doc/loop.texi26
1 files changed, 26 insertions, 0 deletions
diff --git a/gcc/doc/loop.texi b/gcc/doc/loop.texi
index 8c7a62f9364..44b528d538e 100644
--- a/gcc/doc/loop.texi
+++ b/gcc/doc/loop.texi
@@ -476,6 +476,32 @@ The function @code{number_of_cond_exit_executions} can be used to
determine number of executions of the exit condition of a single-exit
loop (i.e., the @code{number_of_latch_executions} increased by one).
+On GIMPLE, below constraint flags affect semantics of some APIs of number
+of iterations analyzer:
+
+@itemize
+@item @code{LOOP_C_INFINITE}: If this constraint flag is set, the loop
+is known to be infinite. APIs like @code{number_of_iterations_exit} can
+return false directly without doing any analysis.
+@item @code{LOOP_C_FINITE}: If this constraint flag is set, the loop is
+known to be finite, in other words, loop's number of iterations can be
+computed with @code{assumptions} be true.
+@end itemize
+
+Generally, the constraint flags are set/cleared by consumers which are
+loop optimizers. It's also the consumers' responsibility to set/clear
+constraints correctly. Failing to do that might result in hard to track
+down bugs in scev/niter consumers. One typical use case is vectorizer:
+it drives number of iterations analyzer by setting @code{LOOP_C_FINITE}
+and vectorizes possibly infinite loop by versioning loop with analysis
+result. In return, constraints set by consumers can also help number of
+iterations analyzer in following optimizers. For example, @code{niter}
+of a loop versioned under @code{assumptions} is valid unconditionally.
+
+Other constraints may be added in the future, for example, a constraint
+indicating that loops' latch must roll thus @code{may_be_zero} would be
+false unconditionally.
+
@node Dependency analysis
@section Data Dependency Analysis
@cindex Data Dependency Analysis