llvm-capstone/polly
Karthika Devi C 61968286f9
[polly][ScheduleOptimizer] Reland Fix long compile time(hang) reported in polly (#77280)
There is no upper cap set on current Schedule Optimizer to compute
schedule. In some cases a very long compile time taken to compute the
schedule resulting in hang kind of behavior. This patch introduces a
flag 'polly-schedule-computeout' to pass the capwhich is initialized to
300000. This patch handles the compute out cases by bailing out and
exiting gracefully.

Fixed the test that failed in previous commit.

Fixes #69090
2024-01-08 09:48:02 -08:00
..
cmake [polly] [CMake] Create component and install target in add_polly_library (#66598) 2023-12-25 10:31:16 +00:00
docs Clear release notes for 18.x 2023-07-25 13:58:49 +02:00
include/polly [llvm][NFC] A start at cleaning up zero byte files that should have been removed (#74404) 2023-12-05 01:57:14 -05:00
lib [polly][ScheduleOptimizer] Reland Fix long compile time(hang) reported in polly (#77280) 2024-01-08 09:48:02 -08:00
test [polly][ScheduleOptimizer] Reland Fix long compile time(hang) reported in polly (#77280) 2024-01-08 09:48:02 -08:00
unittests Migrate away from the soft-deprecated functions in APInt.h (NFC) 2023-02-20 00:58:29 -08:00
utils [NFC][Py Reformat] Reformat python files in the rest of the dirs 2023-05-25 11:17:05 +02:00
www [polly][www] Remove unused VideoJS 2023-09-13 12:24:46 -07:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt Reland "[CMake] Bumps minimum version to 3.20.0. 2023-05-27 12:51:21 +02:00
CREDITS.txt
LICENSE.TXT
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.