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llvm-project/polly
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Chandler Carruth 6b96c2447e [Layering] Update include of DebugInfo.h which moved to the IR library 
in LLVM r203046.

llvm-svn: 203049
 		2014-03-06 00:47:27 +00:00
..
autoconf GMP is only required for CLooG 2014-02-22 02:15:39 +00:00
cmake cmake: build monolithic libLLVMPollyLib.dylib 2014-03-03 19:30:19 +00:00
docs
…
include Fix formatting 2014-03-04 15:57:29 +00:00
lib [Layering] Update include of DebugInfo.h which moved to the IR library 2014-03-06 00:47:27 +00:00
test Emit llvm.loop metadata for parallel loops 2014-03-04 14:59:00 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils Update to isl 1b3ba3b72c0482fd36bf0b4a1186a259f7bafeed 2014-01-26 19:36:28 +00:00
www www: Add FOSDEM presentation and Polly buildbots 2014-02-19 21:58:56 +00:00
.gitattributes gitattributes: .png and .txt are no text files 2013-07-28 09:05:20 +00:00
CMakeLists.txt Set CMAKE_INSTALL_RPATH_USE_LINK_PATH to true. 2014-02-22 13:28:31 +00:00
CREDITS.txt (Test commit for polly) 2011-07-16 13:30:03 +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 '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 GMP is only required for CLooG 2014-02-22 02:15:39 +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.