llvm-project/polly
Tobias Grosser 26269d34d4 Update to isl-0.20-65-gb822a210
This update fixes https://https:/llvm.org/PR38348. Thanks Michael for
reporting the issue to isl and Sven for fixing the issue.

llvm-svn: 339311
2018-08-09 05:07:05 +00:00
..
cmake [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
docs Update docs version and clear release notes after 8.0.0 version bump 2018-08-01 14:11:32 +00:00
include/polly [ScopBuilder] Set domain to empty instead of NULL. 2018-08-01 22:28:32 +00:00
lib Update to isl-0.20-65-gb822a210 2018-08-09 05:07:05 +00:00
test [ScopBuilder] Set domain to empty instead of NULL. 2018-08-01 22:28:32 +00:00
tools Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
unittests Rebase C++ bindings on top of latest isl bindings 2018-08-01 09:57:10 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www [Polly] Information about generalized matrix multiplication 2017-09-24 19:00:25 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +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 [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +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.