llvm-project/polly
Tobias Grosser 5f865032db PPCG codegen
The latest version of the isl C++ bindings does not export the 'set'
method yet. Fall back to the C interface until this method can be
exported.

llvm-svn: 338512
2018-08-01 10:48:38 +00:00
..
cmake [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
docs [Docs] Fix generation of manpages. 2018-07-09 20:26:11 +00:00
include/polly [CodeGen] Convert IslNodeBuilder::getNumberOfIterations to isl++. NFC. 2018-07-31 23:01:50 +00:00
lib PPCG codegen 2018-08-01 10:48:38 +00:00
test [test] Remove non-JSPON comments in JSCOP file. NFC. 2018-07-28 01:11:45 +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.