llvm-project/polly
Michael Kruse 8ee179d3b4 Revert "[ScopDetect/Info] Look through PHIs that follow an error block"
This reverts commit
r312410 - [ScopDetect/Info] Look through PHIs that follow an error block

The commit caused generation of invalid IR due to accessing a parameter
that does not dominate the SCoP.

llvm-svn: 312663
2017-09-06 19:05:40 +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 Revert "[ScopDetect/Info] Look through PHIs that follow an error block" 2017-09-06 19:05:40 +00:00
lib Revert "[ScopDetect/Info] Look through PHIs that follow an error block" 2017-09-06 19:05:40 +00:00
test Revert "[ScopDetect/Info] Look through PHIs that follow an error block" 2017-09-06 19:05:40 +00:00
tools [Polly][GPGPU] Fixed undefined reference for CUDA's managed memory in Runtime library. 2017-08-27 12:50:51 +00:00
unittests [test] Add some test cases for computeArrayUnused. 2017-08-21 23:04:55 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
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.