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llvm-project/polly
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Hongbin Zheng 5b463ceaf5 BlockGenerator: Split getNewValue. 
Split the old getNewValue into two parts:

1. The function "lookupAvailableValue" that return the new version of
the instruction which is already available.

2. The function calls "lookupAvailableValue", and tries to generate
the new version if it is not available yet.

llvm-svn: 187114
 		2013-07-25 09:12:07 +00:00
..
autoconf [autoconf/cmake] Make sure we detect the latest version of isl. 2013-07-02 14:11:32 +00:00
cmake [autoconf/cmake] Make sure we detect the latest version of isl. 2013-07-02 14:11:32 +00:00
docs
…
include BlockGenerator: Split getNewValue. 2013-07-25 09:12:07 +00:00
lib BlockGenerator: Split getNewValue. 2013-07-25 09:12:07 +00:00
test ScopDetect: Add some test cases for sequential loops 2013-07-24 06:10:37 +00:00
tools Reformat with clang-format 2013-05-07 07:30:56 +00:00
utils Convert line endings to unix style 2013-07-25 03:02:26 +00:00
www Remove .htaccess file 2013-05-21 11:58:47 +00:00
.gitattributes Add the git attributes file. 2013-06-29 07:21:57 +00:00
CMakeLists.txt cmake: Add target to reformat with clang-format 2013-05-07 07:30:31 +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 [autoconf/cmake] Make sure we detect the latest version of isl. 2013-07-02 14:11:32 +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.