hanchenye-llvm-project/polly
Tobias Grosser 0c55514a43 autoconf/cmake: Always require isl code generation.
This change ensures that isl is only detected if it includes code generation
support. This allows us to remove a lot of conditional compilation and also
avoids missing test cases in case the feature is not available.

llvm-svn: 166403
2012-10-21 21:48:21 +00:00
..
autoconf autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
cmake autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
docs
include autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
lib autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
test cmake: Use suffix for shared modules instead of the one for shared libraries 2012-10-21 21:08:29 +00:00
tools Update libGPURuntime to be dual licensed under MIT and UIUC license. 2012-07-06 10:40:15 +00:00
utils isl scheduler: Do not fail when returning an empty band list 2012-10-16 07:29:19 +00:00
www www: Correct command line that loads polly into dragonegg 2012-10-21 17:33:00 +00:00
CMakeLists.txt Introduce a separate file for CMake macros 2012-10-21 15:51:49 +00:00
CREDITS.txt
LICENSE.txt Happy new year 2012! 2012-01-01 08:16:56 +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
Makefile.config.in autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +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.