llvm-project/polly
John Ericson d3b756c51c [polly][cmake] Use `GNUInstallDirs` to support custom installation dirs
I am breaking apart D99484 so the cause of build failures is easier to
understand.

Reviewed By: Meinersbur

Differential Revision: https://reviews.llvm.org/D117541
2022-01-18 20:33:42 +00:00
..
cmake [polly][cmake] Use `GNUInstallDirs` to support custom installation dirs 2022-01-18 20:33:42 +00:00
docs [NFC] Fix typos in release notes. 2021-12-14 14:19:42 -08:00
include/polly [SCEV] Sequential/in-order `UMin` expression 2022-01-10 20:51:26 +03:00
lib [polly][cmake] Use `GNUInstallDirs` to support custom installation dirs 2022-01-18 20:33:42 +00:00
test [Polly][SchedOpt] Account for prevectorization of multiple statements. 2021-12-23 14:06:41 -06:00
tools
unittests [Polly][Isl] Use the function unsignedFromIslSize to manage a isl::size object. NFCI 2021-11-05 11:15:22 +01:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [Polly] Clean up Polly's getting started docs. 2021-10-14 12:26:57 -05:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [polly][cmake] Use `GNUInstallDirs` to support custom installation dirs 2022-01-18 20:33:42 +00:00
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.