llvm-project

History

Tobias Grosser 5bfa4f8eb8 CodePrepare: Do not require canonical induction variables for scev based mode llvm-svn: 177593		2013-03-20 22:41:53 +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	Remove dependence on canonical induction variable	2013-03-20 18:03:18 +00:00
lib	CodePrepare: Do not require canonical induction variables for scev based mode	2013-03-20 22:41:53 +00:00
test	CodePrepare: Do not require canonical induction variables for scev based mode	2013-03-20 22:41:53 +00:00
tools	Update the copyright coredits -- Happy new year 2013!	2013-01-01 10:00:19 +00:00
utils	check that clang-format exists	2013-02-15 21:26:50 +00:00
www	www: Add kernelgen publications	2013-01-18 00:26:39 +00:00
CMakeLists.txt	Do not run formatting checks by default	2013-02-14 16:42:50 +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.