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Tobias Grosser 4a69bea6c2 checkout_isl: Do not fail in presence of an old CLooG checkout 
This should help our buildbots and may also simplify life for other people.

llvm-svn: 223152
 		2014-12-02 21:04:20 +00:00
..
autoconf Drop Cloog support 2014-12-02 19:26:58 +00:00
cmake Drop Cloog support 2014-12-02 19:26:58 +00:00
docs
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include Drop Cloog support 2014-12-02 19:26:58 +00:00
lib Drop Cloog support 2014-12-02 19:26:58 +00:00
test Drop Cloog support 2014-12-02 19:26:58 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils checkout_isl: Do not fail in presence of an old CLooG checkout 2014-12-02 21:04:20 +00:00
www Drop Cloog support 2014-12-02 19:26:58 +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 test/lit.site.cfg to .gitignore 2014-09-07 15:03:30 +00:00
CMakeLists.txt Drop Cloog support 2014-12-02 19:26:58 +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 Drop Cloog support 2014-12-02 19:26:58 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure Drop Cloog support 2014-12-02 19:26:58 +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.