llvm-capstone/polly
Mark de Wever 44c6b905f8 [CMake] Bumps minimum version to 3.20.0.
This partly undoes D137724.

This change has been discussed on discourse
https://discourse.llvm.org/t/rfc-upgrading-llvms-minimum-required-cmake-version/66193

Note this does not remove work-arounds for older CMake versions, that
will be done in followup patches.

Reviewed By: mehdi_amini, MaskRay, ChuanqiXu, to268, thieta, tschuett, phosek, #libunwind, #libc_vendors, #libc, #libc_abi, sivachandra, philnik, zibi

Differential Revision: https://reviews.llvm.org/D144509
2023-03-04 12:40:57 +01:00
..
cmake [cmake] Fix path to LLVMConfig.cmake for multi-config builds 2023-01-13 20:32:59 +01:00
docs [Polly][docs] Avoid use of code-block:: guess. 2022-10-24 19:54:22 -05:00
include/polly Revert "Revert "[SCEV] Add SCEVType to represent vscale."" 2023-03-02 13:14:07 +00:00
lib Revert "Revert "[SCEV] Add SCEVType to represent vscale."" 2023-03-02 13:14:07 +00:00
test [polly] Remove unnecessary -enable-new-pm flags 2023-02-27 15:38:55 -08:00
tools [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
unittests Migrate away from the soft-deprecated functions in APInt.h (NFC) 2023-02-20 00:58:29 -08:00
utils
www [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [CMake] Bumps minimum version to 3.20.0. 2023-03-04 12:40:57 +01:00
CREDITS.txt
LICENSE.TXT Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
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.