llvm-project/polly
Tobias Grosser 553af2a34c Update isl to a6523fb42c35
A minor update mostly documenting the isl coding style as well as adding
functions to inspect isl_schedule_constraints objects.

llvm-svn: 235273
2015-04-19 09:06:02 +00:00
..
autoconf Drop libpluto support 2015-03-30 17:54:01 +00:00
cmake Drop libpluto support 2015-03-30 17:54:01 +00:00
include Drop unused extern declaration 2015-04-18 15:57:56 +00:00
lib Update isl to a6523fb42c35 2015-04-19 09:06:02 +00:00
test [opaque pointer types] Explicit non-pointer type for call expressions 2015-04-16 23:24:52 +00:00
tools Ensure the functions in our GPURuntime are visible 2015-03-10 20:23:14 +00:00
utils Remove isl/cloog build scripts 2015-02-15 11:19:20 +00:00
www Drop ISL_INSTALL path 2015-04-10 15:41:14 +00:00
.arcconfig Added arcanist (arc) unit test support 2014-09-08 19:30:09 +00:00
.arclint Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
.gitattributes
.gitignore Add test/lit.site.cfg to .gitignore 2014-09-07 15:03:30 +00:00
CMakeLists.txt Drop libpluto support 2015-03-30 17:54:01 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
Makefile
Makefile.common.in
Makefile.config.in Drop libpluto support 2015-03-30 17:54:01 +00:00
README
configure Drop libpluto support 2015-03-30 17:54:01 +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.