hanchenye-llvm-project/polly
Michael Kruse d3059f3853 Compile fix; add missing ISL files
The last ISL update added two files that we must also add to Polly. 

llvm-svn: 243142
2015-07-24 19:09:27 +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 Removed redundant alias checks generated during run time. 2015-07-23 17:04:54 +00:00
lib Compile fix; add missing ISL files 2015-07-24 19:09:27 +00:00
test Add LICM test cases 2015-07-23 20:05:11 +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 Unify FOLDER property of Polly targets 2015-07-21 12:40:01 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
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.