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Johannes Doerfert 9e3a5db000 [FIX] Debug build + instrinsic handling 
The ignored intrinsics needed to be ignored in three other places as
  well. Tests and lnt pass now.

llvm-svn: 227092
 		2015-01-26 15:55:54 +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
include [FIX] Debug build + instrinsic handling 2015-01-26 15:55:54 +00:00
lib [FIX] Debug build + instrinsic handling 2015-01-26 15:55:54 +00:00
test [FIX] Independent blocks with intrinsics handling 2015-01-25 19:09:49 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils Update to the latest version of isl 2014-12-07 16:04:29 +00:00
www todo: Remove some redundant topics 2015-01-07 21:28:44 +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.