hanchenye-llvm-project/polly
Siddharth Bhat 638316da5b [PPCGCodeGeneration] [NFC] Log every location from which PPCGCodegen bails.
This is useful when trying to understand why no GPU code was produced.

Differential Revision: https://reviews.llvm.org/D36318

llvm-svn: 310103
2017-08-04 19:36:40 +00:00
..
cmake [CMake] FindJsoncpp.cmake: Use descriptive variable name for libjsoncpp.so path. 2017-07-18 10:10:02 +00:00
docs Tiny docs fix 2017-07-27 18:14:00 +00:00
include/polly [PM] Make the new-pm passes behave more like the legacy passes 2017-08-04 11:28:51 +00:00
lib [PPCGCodeGeneration] [NFC] Log every location from which PPCGCodegen bails. 2017-08-04 19:36:40 +00:00
test Add missing REQUIRES line 2017-08-03 14:46:53 +00:00
tools [GPUJIT] Add GPUJIT APIs for allocating and freeing managed memory. 2017-08-02 12:23:22 +00:00
unittests Update Polly to reflect a change to a clang-format patch. I'm not sure 2017-06-29 23:58:03 +00:00
utils
www [WWW] Add a section to Getting Started about building out-of-tree 2017-07-11 20:37:28 +00:00
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
.gitattributes
.gitignore Do not track the isl PDF manual in SVN 2017-01-16 11:48:03 +00:00
CMakeLists.txt [Polly][CMake] Skip unit-tests in lit if gtest is not available 2017-07-11 11:37:35 +00:00
CREDITS.txt
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
README Test commit 2017-06-28 12:58:44 +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.