llvm-project

History

Michael Kruse d262feff80 Add space between access string and follow-up. llvm-svn: 279826		2016-08-26 15:43:52 +00:00
..
cmake	Add missing words to wanrning.	2016-08-25 13:29:26 +00:00
docs	docs: Remove reference to PoCC	2016-05-17 19:44:16 +00:00
include/polly	Improve documentation and testing for isl_valFromAPInt	2016-08-26 12:01:07 +00:00
lib	Add space between access string and follow-up.	2016-08-26 15:43:52 +00:00
test	Add space between access string and follow-up.	2016-08-26 15:43:52 +00:00
tools	GPGPU: Cache PTX kernels	2016-08-04 09:15:58 +00:00
unittests	Avoid the use of large unsigned values in isl unit test	2016-08-26 15:42:38 +00:00
utils	Revise polly-{update\|check}-format targets	2015-09-14 16:59:50 +00:00
www	Fix spacing around variable initializations and for-loops. NFC.	2016-08-09 17:49:24 +00:00
.arcconfig	Upgrade all the .arcconfigs to https.	2016-07-14 13:15:37 +00:00
.arclint	Adjusted arc linter config for modern version of arcanist	2015-08-12 09:01:16 +00:00
.gitattributes	gitattributes: .png and .txt are no text files	2013-07-28 09:05:20 +00:00
.gitignore	Add git patch files to .gitignore	2015-06-23 20:55:01 +00:00
CMakeLists.txt	Query llvm-config to get system libs required for linking.	2016-08-25 14:58:29 +00:00
CREDITS.txt	Add myself to the credits	2014-08-10 03:37:29 +00:00
LICENSE.txt	Update copyright year to 2016.	2016-03-30 22:41:38 +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.