hanchenye-llvm-project/polly
Roman Gareev 76614d3ed9 [GSoC 2016] [Polly] [FIX] Determination of statements that contain matrix
multiplication

Fix small issues related to characters, operators  and descriptions of tests.

Differential Revision: http://reviews.llvm.org/D20806

llvm-svn: 271264
2016-05-31 11:22:21 +00:00
..
cmake Fix: Always honor LLVM_LIBDIR_SUFFIX. 2016-04-09 14:09:08 +00:00
docs docs: Remove reference to PoCC 2016-05-17 19:44:16 +00:00
include/polly [GSoC 2016] [Polly] [FIX] Determination of statements that contain matrix 2016-05-31 11:22:21 +00:00
lib [GSoC 2016] [Polly] [FIX] Determination of statements that contain matrix 2016-05-31 11:22:21 +00:00
test [GSoC 2016] [Polly] [FIX] Determination of statements that contain matrix 2016-05-31 11:22:21 +00:00
tools Update copyright year to 2016. 2016-03-30 22:41:38 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www [WWW] Mark task as done and me as owner of some task 2016-05-02 11:21:30 +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 cmake: Ensure tools/* is still formatted 2016-03-25 12:16:17 +00:00
CREDITS.txt
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.