llvm-project/polly
Tobias Grosser f919d8b360 GPGPU: Support scalars that are mapped to shared memory
llvm-svn: 277726
2016-08-04 13:57:29 +00:00
..
cmake Respect LLVM_INSTALL_TOOLCHAIN_ONLY. 2016-06-21 18:14:01 +00:00
docs
include/polly GPGPU: Handle scalar array references 2016-08-04 06:55:59 +00:00
lib GPGPU: Support scalars that are mapped to shared memory 2016-08-04 13:57:29 +00:00
test GPGPU: Support scalars that are mapped to shared memory 2016-08-04 13:57:29 +00:00
tools GPGPU: Cache PTX kernels 2016-08-04 09:15:58 +00:00
utils
www
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt GPGPU: Shorten ppcg include paths to avoid conflict with cuda.h 2016-07-15 07:50:36 +00:00
CREDITS.txt
LICENSE.txt
README

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.