llvm-project/polly
Siddharth Bhat 65d7f72f2c [PPCGCodeGeneration] Add flag to allow polly to fail in GPU kernel fails.
- This is useful for debugging GPU code.

llvm-svn: 306290
2017-06-26 14:56:56 +00:00
..
cmake [CMake] Retire Polly's FindCUDA.cmake in favour of CMake's default FindCUDA.cmake script. 2017-06-06 19:20:48 +00:00
docs [doc] Add Davide's links regarding automated bisecting 2017-06-17 08:44:12 +00:00
include/polly [NFC] Return both polly.start and polly.exiting from executeScopConditionally. 2017-06-26 12:17:11 +00:00
lib [PPCGCodeGeneration] Add flag to allow polly to fail in GPU kernel fails. 2017-06-26 14:56:56 +00:00
test [PPCGCodeGeneration] Add flag to allow polly to fail in GPU kernel fails. 2017-06-26 14:56:56 +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www [www] Remove outdated documentation 2017-06-12 12:21:47 +00:00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 2017-06-25 14:22:32 +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.