llvm-project/polly
Riccardo Mori 0813bd1696 [Polly][Isl] Use isl::*::ctx instead of isl::*::get_ctx. 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:
 - Use `isl::*::ctx()` instead of `isl::*::get_ctx()` (for example `isl::space::ctx()` instead of `isl::space::get_ctx()`)
 - Add `isl::` namespace in front of isl types to avoid confusion (for example `isl::space::ctx` and `isl::ctx`
 - `isl-noexceptions.h` has been generated by this b64e33c62d

Reviewed By: Meinersbur

Differential Revision: https://reviews.llvm.org/D105691
2021-07-09 21:14:14 +02:00
..
cmake [Windows][Polly] Disable LLVMPolly module for all compilers on Windows 2020-09-15 09:12:38 +03:00
docs Revert "[NFC] remove explicit default value for strboolattr attribute in tests" 2021-05-24 19:43:40 +02:00
include/polly [Polly][Isl] Use isl::*::ctx instead of isl::*::get_ctx. NFC 2021-07-09 21:14:14 +02:00
lib [Polly][Isl] Use isl::*::ctx instead of isl::*::get_ctx. NFC 2021-07-09 21:14:14 +02:00
test [Polly] Fix test after D104732. 2021-06-23 14:59:53 -05:00
tools
unittests [Polly][Isl] Use isl::union_set::unite() instead of isl::union_set::add_set(). NFC 2021-07-07 16:26:55 +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.