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llvm-project/polly
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Tobias Grosser 6c78048b76 Update isl to isl-0.15-35-ga1e44f0 
This fixes a memory leak with in the sioimath backend.

llvm-svn: 241247
 		2015-07-02 07:59:21 +00:00
..
autoconf Enable ISL's small integer optimization 2015-06-25 20:47:35 +00:00
cmake [Polly] Add -std=c99 flag only to C source files 2015-06-29 19:57:59 +00:00
include Remove code for scalar and PHI to array translation 2015-06-26 07:31:18 +00:00
lib Update isl to isl-0.15-35-ga1e44f0 2015-07-02 07:59:21 +00:00
test Add first support to delinearize A[t%2][i][j] 2015-06-29 14:44:22 +00:00
tools Fix formatting issues in banner 2015-04-27 12:02:36 +00:00
utils Rename 'scattering' to 'schedule' 2015-04-21 11:37:25 +00:00
www [doc] Rename -polly-detect-only= to -polly-only-func= 2015-06-03 15:45:19 +00:00
.arcconfig Added arcanist (arc) unit test support 2014-09-08 19:30:09 +00:00
.arclint Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
.gitattributes gitattributes: .png and .txt are no text files 2013-07-28 09:05:20 +00:00
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Fix autotools build 2015-06-25 16:50:13 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
Makefile Revert "Fix a bug introduced by r153739: We are not able to provide the correct" 2012-04-11 07:43:13 +00:00
Makefile.common.in 'chmod -x' on files that do not need the executable bits 2012-12-29 15:09:03 +00:00
Makefile.config.in Fix autotools build 2015-06-25 16:50:13 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure Enable ISL's small integer optimization 2015-06-25 20:47:35 +00:00

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.