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llvm-project/polly
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Andreas Simbuerger 6bf77979e0 Diagnostic: Provide end-user message for non-affine loop bound errors 
llvm-svn: 215832
 		2014-08-17 10:09:15 +00:00
..
autoconf [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
cmake [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
docs
…
include Diagnostic: Provide end-user message for non-affine loop bound errors 2014-08-17 10:09:15 +00:00
lib Diagnostic: Provide end-user message for non-affine loop bound errors 2014-08-17 10:09:15 +00:00
test Diagnostic: Provide end-user message for non-affine loop bound errors 2014-08-17 10:09:15 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils Update to isl-0.13.0 2014-07-15 11:25:32 +00:00
www [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
.arcconfig Add an arcconfig for Polly 2014-08-10 07:49:34 +00:00
.gitattributes gitattributes: .png and .txt are no text files 2013-07-28 09:05:20 +00:00
CMakeLists.txt [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +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 [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +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.