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Sebastian Pop 97cb813c29 Correct function to decide if a SCEV can be ignored 
When doing SCEV based code generation, we ignore instructions calculating values
that are fully defined by a SCEV expression. The values that are calculated by
this instructions are recalculated on demand.

This commit improves the check to verify if certain instructions can be ignored
and recalculated on demand.

llvm-svn: 177313
 		2013-03-18 20:21:13 +00:00
..
autoconf 'chmod -x' on files that do not need the executable bits 2012-12-29 15:09:03 +00:00
cmake autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
docs
…
include Correct function to decide if a SCEV can be ignored 2013-03-18 20:21:13 +00:00
lib Correct function to decide if a SCEV can be ignored 2013-03-18 20:21:13 +00:00
test Correct function to decide if a SCEV can be ignored 2013-03-18 20:21:13 +00:00
tools Update the copyright coredits -- Happy new year 2013! 2013-01-01 10:00:19 +00:00
utils check that clang-format exists 2013-02-15 21:26:50 +00:00
www www: Add kernelgen publications 2013-01-18 00:26:39 +00:00
CMakeLists.txt Do not run formatting checks by default 2013-02-14 16:42:50 +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 do not require cloog from configure 2012-11-26 23:03:41 +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.