hanchenye-llvm-project/polly
Siddharth Bhat c705003275 [Docs] Add a catch-all file to document workflow & tricks.
- Write about `bugpoint` and `git-svn` for now.

Differential Revision: https://reviews.llvm.org/D34147

llvm-svn: 305464
2017-06-15 12:43:12 +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 [Docs] Add a catch-all file to document workflow & tricks. 2017-06-15 12:43:12 +00:00
include/polly Fix a lot of typos. NFC. 2017-06-08 12:06:15 +00:00
lib Don't check side effects for functions outside of SCoP 2017-06-14 22:43:28 +00:00
test Don't check side effects for functions outside of SCoP 2017-06-14 22:43:28 +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
www [www] Remove outdated documentation 2017-06-12 12:21:47 +00:00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
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.