llvm-project/polly
Tobias Grosser 9e6c00194f GICHelper: remove forgotten isl foreach declarations
These should have been dropped in r300323.

Suggested-by: Michael Kruse <llvm@meinersbur.de>
llvm-svn: 300965
2017-04-21 10:50:33 +00:00
..
cmake [Cmake] Generate a PollyConfig.cmake. 2017-03-09 17:58:20 +00:00
docs Porting the example illustrating Polly from HTML to reStructuredText 2017-02-10 11:46:57 +00:00
include/polly GICHelper: remove forgotten isl foreach declarations 2017-04-21 10:50:33 +00:00
lib [DeLICM] Use Known information when comparing Existing.Written and Proposed.Written. 2017-04-20 19:16:39 +00:00
test Fix missing .git/indexloadPolly in ensure-correct-tile-sizes testcase 2017-04-07 12:55:26 +00:00
tools GPURuntime: ensure compilation with C99 2016-09-11 07:32:50 +00:00
unittests [DeLICM] Use Known information when comparing Existing.Written and Proposed.Written. 2017-04-20 19:16:39 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www Add two Polly images 2017-04-05 11:50:31 +00:00
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
.gitattributes
.gitignore Do not track the isl PDF manual in SVN 2017-01-16 11:48:03 +00:00
CMakeLists.txt [Cmake] Generate a PollyConfig.cmake. 2017-03-09 17:58:20 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
README

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.