llvm-project/polly
Tobias Grosser 0904c69110 ScopInfo: Do not generate dependences for i1 values used in affine branches
Affine branches are fully modeled and regenerated from the polyhedral domain and
consequently do not require any input conditions to be propagated.

llvm-svn: 263678
2016-03-16 23:33:54 +00:00
..
cmake Compile ISL into its own library 2015-09-24 11:30:22 +00:00
docs doxygen: Also show private members 2016-03-07 21:38:19 +00:00
include/polly MemAccInt: Do not strip pointer casts 2016-03-15 06:35:08 +00:00
lib ScopInfo: Do not generate dependences for i1 values used in affine branches 2016-03-16 23:33:54 +00:00
test ScopInfo: Do not generate dependences for i1 values used in affine branches 2016-03-16 23:33:54 +00:00
tools Also clang-format *.c run-time library files 2016-03-08 07:34:58 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www www: Add links to sphinx/doxygen documentation 2016-03-03 07:03:21 +00:00
.arcconfig Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes gitattributes: .png and .txt are no text files 2013-07-28 09:05:20 +00:00
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Also clang-format *.c run-time library files 2016-03-08 07:34:58 +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
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +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.