hanchenye-llvm-project/polly
Michael Kruse afd2db5351 [SCEVValidator] Fix loop exit values considered affine.
Index calculations can use the last value that come out of a loop.
Ideally, ScalarEvolution can compute that exit value directly without
depending on the loop induction variable, but not in all cases.

This changes isAffine to not consider such loop exit values as affine to
avoid that SCEVExpander adds uses of the original loop induction
variable.

This fix is analogous to r262404 that applies to general uses of loop
exit values instead of index expressions and loop bouds as in this
patch.

This reduces the number of LNT test-suite fails with
-polly-position=before-vectorizer -polly-unprofitable
from 10 to 8.

llvm-svn: 262665
2016-03-03 22:10:52 +00:00
..
cmake Compile ISL into its own library 2015-09-24 11:30:22 +00:00
docs docs: Fix some spelling mistakes 2016-03-03 19:48:30 +00:00
include/polly Pass scope and LoopInfo to SCEVValidator. NFC. 2016-03-03 22:10:47 +00:00
lib [SCEVValidator] Fix loop exit values considered affine. 2016-03-03 22:10:52 +00:00
test [SCEVValidator] Fix loop exit values considered affine. 2016-03-03 22:10:52 +00:00
tools Remove autotools build system 2016-01-28 12:00:33 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www www: Add links to sphinx/doxygen documentation 2016-03-03 07:03:21 +00:00
.arcconfig Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Add basic doxygen infrastructure for Polly 2016-02-04 07:16:36 +00:00
CREDITS.txt
LICENSE.txt
README

README

Polly - Polyhedral optimizations for LLVM
-----------------------------------------
http://polly.llvm.org/

Polly uses a mathematical representation, the polyhedral model, to represent and
transform loops and other control flow structures. Using an abstract
representation it is possible to reason about transformations in a more general
way and to use highly optimized linear programming libraries to figure out the
optimal loop structure. These transformations can be used to do constant
propagation through arrays, remove dead loop iterations, optimize loops for
cache locality, optimize arrays, apply advanced automatic parallelization, drive
vectorization, or they can be used to do software pipelining.