hanchenye-llvm-project/polly
Tobias Grosser e2f0d06541 Add test/lit.site.cfg to .gitignore
This allows to link Polly's lit.site.cfg from the build into the src directory,
without having it removed by every 'git clean':

  ln -s build/tools/polly/test/lit.site.cfg to src/tools/polly/test

Having this file in our src directory allows us to run llvm-lit on specific
test cases in the Polly test directory just by running 'llvm-lit test/case.ll'.

llvm-svn: 217336
2014-09-07 15:03:30 +00:00
..
autoconf Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
cmake [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
docs
include Introduce a typedef for the IDToValue type 2014-08-31 16:21:12 +00:00
lib Fix formatting 2014-08-31 16:21:20 +00:00
test Always pipe in test files 2014-08-30 09:15:04 +00:00
tools Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
utils Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
www Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +00:00
.arcconfig Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +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 Added arcanist linters and cleaned errors and warnings 2014-08-18 00:40:13 +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 [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +00:00
README
configure [Polly] Remove the PoCC and ScopLib support 2014-08-13 17:49:16 +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.