llvm-project

History

Tobias Grosser b7e06becd9 todo: We can support modifiable memory access functions llvm-svn: 222366		2014-11-19 16:31:33 +00:00
..
autoconf	Added arcanist linters and cleaned errors and warnings	2014-08-18 00:40:13 +00:00
cmake	[Polly] Remove the PoCC and ScopLib support	2014-08-13 17:49:16 +00:00
docs	…
include	Add OpenMP code generation to isl backend	2014-11-15 21:32:53 +00:00
lib	Simplify the SCEVAffinator [NFC]	2014-11-19 15:36:59 +00:00
test	Modify test cases to work with SCEV based code generation	2014-11-16 22:43:21 +00:00
tools	Update the copyright credits -- Happy new year 2014!	2014-01-01 08:27:31 +00:00
utils	Revert "Temporary disable formatting error"	2014-11-03 22:11:20 +00:00
www	todo: We can support modifiable memory access functions	2014-11-19 16:31:33 +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	gitattributes: .png and .txt are no text files	2013-07-28 09:05:20 +00:00
.gitignore	Add test/lit.site.cfg to .gitignore	2014-09-07 15:03:30 +00:00
CMakeLists.txt	Added arcanist linters and cleaned errors and warnings	2014-08-18 00:40:13 +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	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	[Polly] Remove the PoCC and ScopLib support	2014-08-13 17:49:16 +00:00
README	Trivial change to the README, mainly to test commit access.	2012-10-09 04:59:42 +00:00
configure	[Polly] Remove the PoCC and ScopLib support	2014-08-13 17:49:16 +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.