llvm-project/polly
Roman Gareev 7758a2af53 Update the documentation on how the packing transformation is implemented
Add a simple example to update the documentation on how the packing
transformation is implemented.

Reviewed-by: Tobias Grosser <tobias@grosser.es>,
             Michael Kruse <llvm@meinersbur.de>

Differential Revision: https://reviews.llvm.org/D28021

llvm-svn: 293429
2017-01-29 10:37:50 +00:00
..
cmake Remove -fvisibility=hidden and FORCE_STATIC. 2016-09-12 18:25:00 +00:00
docs docs: Add source of LLVM pass order illustration 2017-01-17 06:16:09 +00:00
include/polly [BlockGenerator] Comment corretions for r293374 [NFC] 2017-01-28 11:39:02 +00:00
lib Update the documentation on how the packing transformation is implemented 2017-01-29 10:37:50 +00:00
test Add forgotten test case for r293169 2017-01-28 14:32:45 +00:00
tools GPURuntime: ensure compilation with C99 2016-09-11 07:32:50 +00:00
unittests [Support] Add general isl tools for DeLICM. NFC. 2017-01-27 22:51:36 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www www: Add dates RSS news 2017-01-08 09:28:10 +00:00
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes
.gitignore Do not track the isl PDF manual in SVN 2017-01-16 11:48:03 +00:00
CMakeLists.txt Teach Polly's standalone build to work now that we include the gmock 2017-01-11 01:07:37 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
LICENSE.txt Update copyright year to 2016. 2016-03-30 22:41:38 +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.