hanchenye-llvm-project/polly
Tobias Grosser 5779359624 GPGPU: Load GPU kernels
We embed the PTX code into the host IR as a global variable and compile it
at run-time into a GPU kernel.

llvm-svn: 276645
2016-07-25 16:31:21 +00:00
..
cmake Respect LLVM_INSTALL_TOOLCHAIN_ONLY. 2016-06-21 18:14:01 +00:00
docs docs: Remove reference to PoCC 2016-05-17 19:44:16 +00:00
include/polly [GSoC] Add PolyhedralInfo pass - new interface to polly analysis 2016-07-25 12:48:45 +00:00
lib GPGPU: Load GPU kernels 2016-07-25 16:31:21 +00:00
test GPGPU: Load GPU kernels 2016-07-25 16:31:21 +00:00
tools GPGPU: Load GPU kernels 2016-07-25 16:31:21 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www [WWW] Mark task as done and me as owner of some task 2016-05-02 11:21:30 +00:00
.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 Update copyright year to 2016. 2016-03-30 22:41:38 +00:00
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.