hanchenye-llvm-project/polly
Andreas Simbuerger 57b469f842 Add print method to RejectLog
llvm-svn: 215627
2014-08-14 08:53:18 +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 Add print method to RejectLog 2014-08-14 08:53:18 +00:00
lib Add print method to RejectLog 2014-08-14 08:53:18 +00:00
test [Refactor] Cleanup runtime code generation 2014-08-12 18:35:54 +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
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.