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llvm-project/polly
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Tobias Grosser cef36d5b99 Copy IndVarSimplify pass from LLVM to Polly 
This allows us to enable -enable-iv-rewrite by default and releases LLVM from
the burdon to keep that feature. This is an intermediate step. We plan to soon
remove the need for rewritten induction variables entirely.

llvm-svn: 150481
 		2012-02-14 14:02:33 +00:00
..
autoconf configure: Add gmp_inc when checking for CLooG 2011-10-04 06:55:03 +00:00
cmake Add initial version of Polly 2011-04-29 06:27:02 +00:00
docs Add initial version of Polly 2011-04-29 06:27:02 +00:00
include Copy IndVarSimplify pass from LLVM to Polly 2012-02-14 14:02:33 +00:00
lib Copy IndVarSimplify pass from LLVM to Polly 2012-02-14 14:02:33 +00:00
test tests: Replace . by %s 2012-02-13 12:29:43 +00:00
tools Add initial version of Polly 2011-04-29 06:27:02 +00:00
utils Use isl version: 3c66541593a6bf3b5a3d35d31567abe6c9e5a04b 2012-01-30 19:38:40 +00:00
www www: More typos 2012-02-01 00:08:10 +00:00
CMakeLists.txt Buildsystem: Add -no-rtti 2011-06-30 19:50:04 +00:00
CREDITS.txt (Test commit for polly) 2011-07-16 13:30:03 +00:00
LICENSE.txt Happy new year 2012! 2012-01-01 08:16:56 +00:00
Makefile Add initial version of Polly 2011-04-29 06:27:02 +00:00
Makefile.common.in Add initial version of Polly 2011-04-29 06:27:02 +00:00
Makefile.config.in Buildsystem: Add -no-rtti 2011-06-30 19:50:04 +00:00
README Remove some empty lines 2011-10-04 06:56:36 +00:00
configure configure: Add gmp_inc when checking for CLooG 2011-10-04 06:55:03 +00:00

README 

Polly - Polyhedral optimizations for LLVM

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.