llvm-capstone/polly
Tobias Grosser d783a98303 Add option to choose where in the pass pipeline polly is run
These options are useful to play with the location of Polly within LLVM's
pass manager.

llvm-svn: 242390
2015-07-16 08:28:09 +00:00
..
autoconf Enable ISL's small integer optimization 2015-06-25 20:47:35 +00:00
cmake [Polly] Add -std=c99 flag only to C source files 2015-06-29 19:57:59 +00:00
include Use schedule trees to represent execution order of statements 2015-07-14 09:33:13 +00:00
lib Add option to choose where in the pass pipeline polly is run 2015-07-16 08:28:09 +00:00
test Use schedule trees to represent execution order of statements 2015-07-14 09:33:13 +00:00
tools Fix formatting issues in banner 2015-04-27 12:02:36 +00:00
utils Rename 'scattering' to 'schedule' 2015-04-21 11:37:25 +00:00
www Mark a couple of items as completed 2015-07-14 10:52:58 +00:00
.arcconfig Added arcanist (arc) unit test support 2014-09-08 19:30:09 +00:00
.arclint Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
.gitattributes
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Fix autotools build 2015-06-25 16:50:13 +00:00
configure Enable ISL's small integer optimization 2015-06-25 20:47:35 +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

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.