hanchenye-llvm-project/polly
Michael Kruse c9edc2ee8d [DepInfo] Print -debug output outside of max-operations scope.
ISL tries to simplify the polyhedral operations before printing its objects.
This increases the operations counter and therefore can contribute to hitting
the operations limit. Therefore the result could be different when -debug output
is enabled, making debugging harder.

llvm-svn: 283745
2016-10-10 11:45:59 +00:00
..
cmake Remove -fvisibility=hidden and FORCE_STATIC. 2016-09-12 18:25:00 +00:00
docs docs: Remove reference to PoCC 2016-05-17 19:44:16 +00:00
include/polly [Support/DepInfo] Introduce IslMaxOperationsGuard and make DepInfo use it. NFC. 2016-10-10 11:45:54 +00:00
lib [DepInfo] Print -debug output outside of max-operations scope. 2016-10-10 11:45:59 +00:00
test [cmake] Move isl_test artifacts to Polly folder. 2016-10-07 12:38:24 +00:00
tools GPURuntime: ensure compilation with C99 2016-09-11 07:32:50 +00:00
unittests Add -polly-flatten-schedule pass. 2016-09-08 15:02:36 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www www: Add Loopy publication 2016-09-29 18:17:30 +00:00
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes
.gitignore
CMakeLists.txt Query llvm-config to get system libs required for linking. 2016-08-25 14:58:29 +00:00
CREDITS.txt
LICENSE.txt Update copyright year to 2016. 2016-03-30 22:41:38 +00:00
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.