hanchenye-llvm-project/polly
Mandeep Singh Grang daec0aa71f [polly] Change std::sort to llvm::sort in response to r327219
Summary:
r327219 added wrappers to std::sort which randomly shuffle the container before sorting.
This will help in uncovering non-determinism caused due to undefined sorting
order of objects having the same key.

To make use of that infrastructure we need to invoke llvm::sort instead of std::sort.

Reviewers: grosser, efriedma, jdoerfert, bollu, sebpop

Reviewed By: sebpop

Subscribers: sebpop, mehdi_amini, llvm-commits, pollydev

Tags: #polly

Differential Revision: https://reviews.llvm.org/D44361

llvm-svn: 327361
2018-03-13 05:25:23 +00:00
..
cmake [CMake] Use only keyword-version of target_link_library. NFC. 2018-01-12 16:09:18 +00:00
docs Docs, release notes: update version to 7.0.0 2018-01-03 15:54:54 +00:00
include/polly Add isl operator overloads for isl::pw_aff 2018-03-10 18:07:03 +00:00
lib [polly] Change std::sort to llvm::sort in response to r327219 2018-03-13 05:25:23 +00:00
test [Polly][CMake] Fix lit setup for building the in the mono repo 2018-03-05 14:43:04 +00:00
tools [GPUJIT] Improved temporary file handling. 2017-09-19 10:41:29 +00:00
unittests Add isl operator overloads for isl::pw_aff 2018-03-10 18:07:03 +00:00
utils
www [Polly] Information about generalized matrix multiplication 2017-09-24 19:00:25 +00:00
.arcconfig [polly] Set up .arcconfig to point to new Diffusion PLO repository 2017-11-27 17:34:03 +00:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [CMake] Use only keyword-version of target_link_library. NFC. 2018-01-12 16:09:18 +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.