llvm-project

History

Tobias Grosser 1deda29598 ScheduleOpt: Allow to configure for which dependences to optimize We can either optimize for RAW dependences or for all dependences. For the moment, I do not see a big difference here. llvm-svn: 150484		2012-02-14 14:02:48 +00:00
..
autoconf	configure: Add gmp_inc when checking for CLooG	2011-10-04 06:55:03 +00:00
cmake	…
docs	…
include	ScopInfo: Add Scop::getDomains()	2012-02-14 14:02:40 +00:00
lib	ScheduleOpt: Allow to configure for which dependences to optimize	2012-02-14 14:02:48 +00:00
test	tests: Replace . by %s	2012-02-13 12:29:43 +00:00
tools	…
utils	Use isl version: 3c66541593a6bf3b5a3d35d31567abe6c9e5a04b	2012-01-30 19:38:40 +00:00
www	www: More typos	2012-02-01 00:08:10 +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	Happy new year 2012!	2012-01-01 08:16:56 +00:00
Makefile	…
Makefile.common.in	…
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.