llvm-project

History

Matt Arsenault 77d55f8abd Fix build after SCEV change llvm-svn: 190429		2013-09-10 20:22:17 +00:00
..
autoconf	[autoconf/cmake] Make sure we detect the latest version of isl.	2013-07-02 14:11:32 +00:00
cmake	[autoconf/cmake] Make sure we detect the latest version of isl.	2013-07-02 14:11:32 +00:00
docs	…
include	BlockGenerator: Split getNewValue.	2013-07-25 09:12:07 +00:00
lib	Fix build after SCEV change	2013-09-10 20:22:17 +00:00
test	ScopInfo: Correctly handle true/false conditions	2013-09-07 01:54:13 +00:00
tools	Reformat with clang-format	2013-05-07 07:30:56 +00:00
utils	Convert line endings to unix style	2013-07-25 03:02:26 +00:00
www	Rename "polly-test" in the document and script.	2013-08-18 07:33:28 +00:00
.gitattributes	gitattributes: .png and .txt are no text files	2013-07-28 09:05:20 +00:00
CMakeLists.txt	cmake: Add target to reformat with clang-format	2013-05-07 07:30:31 +00:00
CREDITS.txt	(Test commit for polly)	2011-07-16 13:30:03 +00:00
LICENSE.txt	Update the copyright coredits -- Happy new year 2013!	2013-01-01 10:00:19 +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	'chmod -x' on files that do not need the executable bits	2012-12-29 15:09:03 +00:00
README	Trivial change to the README, mainly to test commit access.	2012-10-09 04:59:42 +00:00
configure	[autoconf/cmake] Make sure we detect the latest version of isl.	2013-07-02 14:11:32 +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.