llvm-project/polly
Tobias Grosser 87dcd46aa7 [tests] Make sure tests do not end in 'unreachable' - Part II
There is no point in optimizing unreachable code, hence our test cases should
always return.

This commit is part of a series that makes Polly more robust on the presence of
unreachables.

llvm-svn: 297150
2017-03-07 15:23:30 +00:00
..
cmake [Cmake] Optionally use a system isl version. 2017-02-27 17:54:25 +00:00
docs Porting the example illustrating Polly from HTML to reStructuredText 2017-02-10 11:46:57 +00:00
include/polly Fix namespaces after clang-format update 2017-03-01 15:54:27 +00:00
lib [ScopDetection] Do not allow required-invariant loads in non-affine region 2017-03-02 12:15:37 +00:00
test [tests] Make sure tests do not end in 'unreachable' - Part II 2017-03-07 15:23:30 +00:00
tools GPURuntime: ensure compilation with C99 2016-09-11 07:32:50 +00:00
unittests [Support] Remove NonowningIslPtr. NFC. 2017-02-23 17:57:27 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www Porting the example illustrating Polly from HTML to reStructuredText 2017-02-10 11:46:57 +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 [Cmake] Optionally use a system isl version. 2017-02-27 17:54:25 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +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.