hanchenye-llvm-project/polly
Philipp Schaad cf0a22f786 [GPUJIT] Improved temporary file handling.
Summary: Imporved the way the GPUJIT handles temporary files for Intel's Beignet.

Reviewers: bollu, grosser

Reviewed By: grosser

Subscribers: philip.pfaffe, pollydev

Differential Revision: https://reviews.llvm.org/D37691

llvm-svn: 313623
2017-09-19 10:41:29 +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 Revert "[ScopDetect/Info] Look through PHIs that follow an error block" 2017-09-06 19:05:40 +00:00
lib [ForwardOpTree] Test the max operations quota. 2017-09-18 17:43:50 +00:00
test [ForwardOpTree] Test the max operations quota. 2017-09-18 17:43:50 +00:00
tools [GPUJIT] Improved temporary file handling. 2017-09-19 10:41:29 +00:00
unittests [test] Add some test cases for computeArrayUnused. 2017-08-21 23:04:55 +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
.arclint [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
.gitattributes
.gitignore
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.