llvm-project

History

Tobias Grosser f75ba19697 www: Add kernelgen publications Contributed by: Dmitry Mikushin <dmitry@kernelgen.org> llvm-svn: 172772		2013-01-18 00:26:39 +00:00
..
autoconf	'chmod -x' on files that do not need the executable bits	2012-12-29 15:09:03 +00:00
cmake	autoconf/cmake: Always require isl code generation.	2012-10-21 21:48:21 +00:00
docs	…
include	Add missing __isl_give	2013-01-18 00:09:42 +00:00
lib	clang-format goodness	2013-01-14 22:40:23 +00:00
test	isl: vector code generation based on ISL ast	2012-12-18 07:46:13 +00:00
tools	Update the copyright coredits -- Happy new year 2013!	2013-01-01 10:00:19 +00:00
utils	User isl sha commit id instead of the git tag	2012-12-04 21:54:37 +00:00
www	www: Add kernelgen publications	2013-01-18 00:26:39 +00:00
CMakeLists.txt	cmake: Fix installation of include files	2012-11-28 10:12:21 +00:00
CREDITS.txt	(Test commit for polly)	2011-07-16 13:30:03 +00:00
LICENSE.txt	Update the copyright coredits -- Happy new year 2013!	2013-01-01 10:00:19 +00:00
Makefile	Revert "Fix a bug introduced by r153739: We are not able to provide the correct"	2012-04-11 07:43:13 +00:00
Makefile.common.in	'chmod -x' on files that do not need the executable bits	2012-12-29 15:09:03 +00:00
Makefile.config.in	'chmod -x' on files that do not need the executable bits	2012-12-29 15:09:03 +00:00
README	Trivial change to the README, mainly to test commit access.	2012-10-09 04:59:42 +00:00
configure	do not require cloog from configure	2012-11-26 23:03:41 +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.