llvm-project/polly
Philip Reames d02db32644 [SCEV] Use full logic when infering flags on add and gep
This is a followon to D109845. With that landed, we will have fixed all known instances of pr51817, and can thus start inferring flags more aggressively with greatly reduced risk of miscompiles. This patch simply applies the same inference logic used in that patch to our other major flag inference path.

We can still do much better here (on both paths), but this is our first step.

Differential Revision: https://reviews.llvm.org/D111003
2021-10-03 15:32:15 -07:00
..
cmake [Windows][Polly] Disable LLVMPolly module for all compilers on Windows 2020-09-15 09:12:38 +03:00
docs polly: remove the old reference to svn in the doc 2021-08-27 10:46:50 +02:00
include/polly [Polly] Reject regions entered by an indirectbr/callbr. 2021-09-27 18:49:11 -05:00
lib [Polly] Check the properties of accesses to operands of a matrix-matrix 2021-09-28 22:58:57 +05:00
test [SCEV] Use full logic when infering flags on add and gep 2021-10-03 15:32:15 -07:00
tools
unittests [Polly] Don't redundantly link libPolly into unittests. 2021-08-24 03:07:30 -05:00
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.