llvm-project/polly
Eli Friedman 89e0662dee Make IRBuilder automatically set alignment on load/store/alloca.
This is equivalent in terms of LLVM IR semantics, but we want to
transition away from using MaybeAlign to represent the alignment of
these instructions.

Differential Revision: https://reviews.llvm.org/D77984
2020-04-13 13:43:14 -07:00
..
cmake [cmake] Use source-groups in Polly. 2020-01-07 14:20:06 -06:00
docs [Polly] Add -polly-isl-arg command line option. 2020-04-06 08:56:57 -05:00
include/polly [polly][opaque pointers] Remove use of deprecated APIs. 2020-04-03 18:00:33 -07:00
lib [NFC] Modernize misc. uses of Align/MaybeAlign APIs. 2020-04-06 17:53:04 -07:00
test Make IRBuilder automatically set alignment on load/store/alloca. 2020-04-13 13:43:14 -07:00
tools Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
unittests Update the file headers across all of the LLVM projects in the monorepo 2019-01-19 08:50:56 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www [www] More HTTPS and outdated link fixes. 2019-11-08 14:41:27 -08:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
CREDITS.txt
LICENSE.txt Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +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.