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llvm-project/polly
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Duncan P. N. Exon Smith 7cf5fedbad Fix polly build after LLVM r234263 
llvm-svn: 234266
 		2015-04-07 00:29:05 +00:00
..
autoconf Drop libpluto support 2015-03-30 17:54:01 +00:00
cmake Drop libpluto support 2015-03-30 17:54:01 +00:00
include [opaque pointer type] More GEP API migrations 2015-04-05 22:51:12 +00:00
lib Fix polly build after LLVM r234263 2015-04-07 00:29:05 +00:00
test Upgrade testcases after LLVM r234181 2015-04-06 18:25:51 +00:00
tools Ensure the functions in our GPURuntime are visible 2015-03-10 20:23:14 +00:00
utils Remove isl/cloog build scripts 2015-02-15 11:19:20 +00:00
www Adjust documentation to old -enable-polly-openmp -> -polly-parallel rename 2015-04-05 19:52:38 +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 libpluto support 2015-03-30 17:54:01 +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 libpluto support 2015-03-30 17:54:01 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure Drop libpluto support 2015-03-30 17:54:01 +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.