hanchenye-llvm-project/polly
Tobias Grosser 72e8f5999e Make sure we increment the reference counter when passing out the isl_pw_aff
llvm-svn: 244758
2015-08-12 15:45:41 +00:00
..
autoconf Enable ISL's small integer optimization 2015-06-25 20:47:35 +00:00
cmake Unify FOLDER property of Polly targets 2015-07-21 12:40:01 +00:00
include/polly Make sure we increment the reference counter when passing out the isl_pw_aff 2015-08-12 15:45:41 +00:00
lib Make the dimension sizes of in ScopArrayInfo available as isl_pw_affs 2015-08-12 15:27:16 +00:00
test Make the dimension sizes of in ScopArrayInfo available as isl_pw_affs 2015-08-12 15:27:16 +00:00
tools Do not compile GPU library with sanitizers 2015-07-28 12:51:23 +00:00
utils Make arc unit work with ninja builds 2015-08-12 09:02:20 +00:00
www Update links to lists.llvm.org. 2015-08-05 04:19:04 +00:00
.arcconfig Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Do not use -fvisibility option with Visual C 2015-08-07 22:16:44 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt
Makefile
Makefile.common.in
Makefile.config.in Fix autotools build 2015-06-25 16:50:13 +00:00
README
configure Enable ISL's small integer optimization 2015-06-25 20:47:35 +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.