llvm-project

History

Tobias Grosser a66b37d7ae Add utils/jscop2cloog.py This tool takes a jscop file and translates it into a cloog input file. llvm-svn: 145401		2011-11-29 14:50:52 +00:00
..
autoconf	configure: Add gmp_inc when checking for CLooG	2011-10-04 06:55:03 +00:00
cmake	Add initial version of Polly	2011-04-29 06:27:02 +00:00
docs	Add initial version of Polly	2011-04-29 06:27:02 +00:00
include	JScop: Allow to update the context	2011-11-15 11:38:44 +00:00
lib	autoconf: Change order of linking files	2011-11-22 19:40:31 +00:00
test	test: Add more dependences to cmake build	2011-11-29 14:50:47 +00:00
tools	Add initial version of Polly	2011-04-29 06:27:02 +00:00
utils	Add utils/jscop2cloog.py	2011-11-29 14:50:52 +00:00
www	www: Document how to run 'make polly-test' for autoconf build	2011-11-22 19:40:34 +00:00
CMakeLists.txt	Buildsystem: Add -no-rtti	2011-06-30 19:50:04 +00:00
CREDITS.txt	(Test commit for polly)	2011-07-16 13:30:03 +00:00
LICENSE.txt	Add initial version of Polly	2011-04-29 06:27:02 +00:00
Makefile	Add initial version of Polly	2011-04-29 06:27:02 +00:00
Makefile.common.in	Add initial version of Polly	2011-04-29 06:27:02 +00:00
Makefile.config.in	Buildsystem: Add -no-rtti	2011-06-30 19:50:04 +00:00
README	Remove some empty lines	2011-10-04 06:56:36 +00:00
configure	configure: Add gmp_inc when checking for CLooG	2011-10-04 06:55:03 +00:00

README

Polly - Polyhedral optimizations for LLVM

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.