llvm-project/polly
Michael Kruse e470f9268a [Polly] Implement user-directed loop distribution/fission.
This is a simple version without the possibility to define distribute
points or followup-transformations. However, it is the first
transformation that has to check whether the transformation is correct.

It interprets the same metadata as the LoopDistribute pass.

Re-apply after revert in c7bcd72a38 with
fix: Take isBand out of #ifndef NDEBUG since it now is used
unconditionally.
2021-09-23 21:11:01 -05:00
..
cmake [Windows][Polly] Disable LLVMPolly module for all compilers on Windows 2020-09-15 09:12:38 +03:00
docs polly: remove the old reference to svn in the doc 2021-08-27 10:46:50 +02:00
include/polly [Polly] Implement user-directed loop distribution/fission. 2021-09-23 21:11:01 -05:00
lib [Polly] Implement user-directed loop distribution/fission. 2021-09-23 21:11:01 -05:00
test [Polly] Implement user-directed loop distribution/fission. 2021-09-23 21:11:01 -05:00
tools
unittests [Polly] Don't redundantly link libPolly into unittests. 2021-08-24 03:07:30 -05:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [Branch-Rename] Fix some links 2021-02-01 16:43:21 +05:30
.arclint
.gitattributes
.gitignore
CMakeLists.txt Remove .svn from exclude list as we moved to git 2020-10-21 16:09:21 +02:00
CREDITS.txt
LICENSE.TXT Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
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.