llvm-project/polly
Philip Pfaffe ee51d5c64e [Polly][isl] Add neutrally-named accessors to isl list elements and sizes
Summary: This could simplify the isl iterator implementation a lot.

Reviewers: grosser, Meinersbur, bollu

Reviewed By: grosser

Subscribers: pollydev, llvm-commits

Differential Revision: https://reviews.llvm.org/D49019

llvm-svn: 337054
2018-07-13 22:05:01 +00:00
..
cmake [CMake] Use only keyword-version of target_link_library. NFC. 2018-01-12 16:09:18 +00:00
docs [Docs] Fix generation of manpages. 2018-07-09 20:26:11 +00:00
include/polly [NFC] Fix formatting to appease builders 2018-06-29 08:29:17 +00:00
lib [Polly][isl] Add neutrally-named accessors to isl list elements and sizes 2018-07-13 22:05:01 +00:00
test Fix for r336080: Missing colon in REQUIRES line 2018-07-02 08:36:49 +00:00
tools Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
unittests Add missing namespace specifier 2018-06-29 11:49:34 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www [Polly] Information about generalized matrix multiplication 2017-09-24 19:00:25 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +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 Back out of GPU Codegen if NVPTX is not available 2018-06-07 21:10:49 +00:00
CREDITS.txt
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
README Test commit 2017-06-28 12:58:44 +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.