llvm-project/polly
NAKAMURA Takumi b49ca64b18 Test commit
llvm-svn: 306696
2017-06-29 16:35:38 +00:00
..
cmake Test commit 2017-06-29 16:35:38 +00:00
docs [doc] Add Davide's links regarding automated bisecting 2017-06-17 08:44:12 +00:00
include/polly [ScopInfo] Do not use ScopStmt in Domain derivation of ScopInfo. NFC 2017-06-29 12:47:41 +00:00
lib [ScopInfo] Do not use ScopStmt in Domain derivation of ScopInfo. NFC 2017-06-29 12:47:41 +00:00
test Heap allocation for new arrays. 2017-06-28 13:02:43 +00:00
tools [CMake] Retire Polly's FindCUDA.cmake in favour of CMake's default FindCUDA.cmake script. 2017-06-06 19:20:48 +00:00
unittests [Polly][NewPM] Reenable ScopPassManager unittest 2017-05-23 11:28:50 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www [www] Remove outdated documentation 2017-06-12 12:21:47 +00:00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] Retire Polly's FindCUDA.cmake in favour of CMake's default FindCUDA.cmake script. 2017-06-06 19:20:48 +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 Test commit 2017-06-28 12:58:44 +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.