llvm-project/polly
Tobias Grosser 3638ef8fe1 PoCC: Fix bugs when executing PoCC
These are remainders of the switch to the newer isl version. At the point of
switching I did not test with PoCC support. I should have done. ;-)

llvm-svn: 142777
2011-10-23 20:59:49 +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 Only have a single option to disable tiling for both isl and Pocc optimzer 2011-10-23 20:59:44 +00:00
lib PoCC: Fix bugs when executing PoCC 2011-10-23 20:59:49 +00:00
test Enable prevectorization with -enable-polly-vector. 2011-10-23 20:59:40 +00:00
tools Add initial version of Polly 2011-04-29 06:27:02 +00:00
utils Remove pollycc 2011-10-23 20:59:47 +00:00
www Only have a single option to disable tiling for both isl and Pocc optimzer 2011-10-23 20:59:44 +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 Add initial version of Polly 2011-04-29 06:27:02 +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.