llvm-project/polly
Tobias Grosser 50a5e6dac0 test/ScopInfo: Remove %defaultOpts and list passes explicitly
Due to bad habit we sometimes used a variable %defaultOpts that listed
a set of passes commonly run to prepare for Polly. None of these test cases
actually needs special preparation and only two of them need the 'basicaa' to
be scheduled. Scheduling the required alias analysis explicitly makes the test
cases clearer.

llvm-svn: 211671
2014-06-25 06:38:18 +00:00
..
autoconf Remove OpenScop 2014-04-11 09:47:45 +00:00
cmake Remove OpenScop 2014-04-11 09:47:45 +00:00
docs
include Remove use of llvm.codegen intrinsic for GPGPU codegen 2014-06-24 08:11:36 +00:00
lib cmake: Fix reference to Pluto file 2014-06-24 13:31:42 +00:00
test test/ScopInfo: Remove %defaultOpts and list passes explicitly 2014-06-25 06:38:18 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils Remove use of llvm.codegen intrinsic for GPGPU codegen 2014-06-24 08:11:36 +00:00
www www: Fix grammar. 2014-06-10 20:18:16 +00:00
.gitattributes gitattributes: .png and .txt are no text files 2013-07-28 09:05:20 +00:00
CMakeLists.txt Reorder cmake include folders (polly source first) 2014-05-28 16:54:42 +00:00
CREDITS.txt Add "Yabin Hu" to CREDITS.txt 2014-06-21 18:35:33 +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 Remove OpenScop 2014-04-11 09:47:45 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure Remove OpenScop 2014-04-11 09:47:45 +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.