llvm-project

History

Rafael Espindola cd61afb4ee Use a slightly smaller hammer to make this pass. When first updating this test I only noticided the first RUN line. llvm-svn: 187328		2013-07-28 11:13:49 +00:00
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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	gitattributes: .png and .txt are no text files	2013-07-28 09:05:20 +00:00
test	Use a slightly smaller hammer to make this pass.	2013-07-28 11:13:49 +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	Remove .htaccess file	2013-05-21 11:58:47 +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.