llvm-project/polly
John Ericson f7a33090a9 [cmake] Use `CMAKE_INSTALL_LIBDIR` too
We held off on this before as `LLVM_LIBDIR_SUFFIX` conflicted with it.
Now we return this.

`LLVM_LIBDIR_SUFFIX` is kept as a deprecated way to set
`CMAKE_INSTALL_LIBDIR`. The other `*_LIBDIR_SUFFIX` are just removed
entirely.

I imagine this is too potentially-breaking to make LLVM 15. That's fine.
I have a more minimal version of this in the disto (NixOS) patches for
LLVM 15 (like previous versions). This more expansive version I will
test harder after the release is cut.

Reviewed By: sebastian-ne, ldionne, #libc, #libc_abi

Differential Revision: https://reviews.llvm.org/D130586
2022-08-18 15:33:35 -04:00
..
cmake [cmake] Use `CMAKE_INSTALL_LIBDIR` too 2022-08-18 15:33:35 -04:00
docs [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
include/polly [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
lib LLVM_FALLTHROUGH => [[fallthrough]]. NFC 2022-08-09 04:06:52 +00:00
test [cmake] Use `CMAKE_INSTALL_LIBDIR` too 2022-08-18 15:33:35 -04:00
tools [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
unittests [polly][unittests] Link DeLICMTests with libLLVMCore 2022-01-28 21:58:40 +01:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [polly] Fixed a number of typos. NFC 2022-08-07 22:56:07 +08:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [cmake] Make include(GNUInstallDirs) always below project(..) 2022-01-20 18:59:17 +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.