llvm-capstone

mirror of https://github.com/capstone-engine/llvm-capstone.git synced 2024-11-30 09:01:19 +00:00

History

Riccardo Mori 84dfbf5a77 [Polly][Isl] Stop using isl::set::lex_le_set. NFC This is part of an effort to reduce the differences between the custom C++ bindings used right now by polly in `lib/External/isl/include/isl/isl-noxceptions.h` and the official isl C++ interface. Changes made: - Stop using `isl::set::lex_le_set`. The official way to do this is to use `isl::map::lex_le_at` - Removed `isl::set::lex_le_set` from `isl-noexceptions.h` - `isl-noexceptions.h` has been generated by this `266fea1d3d` Reviewed By: Meinersbur Differential Revision: https://reviews.llvm.org/D106269		2021-07-19 17:23:56 +02:00
..
cmake	[Windows][Polly] Disable LLVMPolly module for all compilers on Windows	2020-09-15 09:12:38 +03:00
docs	[Polly] Fix typo. NFC.	2021-07-13 22:36:22 -05:00
include/polly	[Polly][Isl] Use isl::::ctx instead of isl::::get_ctx. NFC	2021-07-09 21:14:14 +02:00
lib	[Polly][Isl] Stop using isl::set::lex_le_set. NFC	2021-07-19 17:23:56 +02:00
test	[Polly] Fix test after D104732.	2021-06-23 14:59:53 -05:00
tools
unittests	[Polly][Isl] Use isl::union_map::unite() instead of isl::union_map::add_map(). NFC	2021-07-19 12:11:00 +02:00
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.