llvm-project/polly
Michael Kruse c0bc995429 [Polly] Fix prevectorization of fused loops.
The schedule of a fused loop has one isl_space per statement, such that
a conversion to a isl_map fails. However, the prevectorization is
interested in the schedule space only: Converting to the non-union
representation only after extracting the schedule range fixes the problem.

This fixes llvm.org/PR46578
2020-07-10 16:42:03 -05:00
..
cmake [cmake] Use source-groups in Polly. 2020-01-07 14:20:06 -06:00
docs [BasicAA] Replace -basicaa with -basic-aa in polly 2020-06-30 15:50:17 -07:00
include/polly [polly][opaque pointers] Remove use of deprecated APIs. 2020-04-03 18:00:33 -07:00
lib [Polly] Fix prevectorization of fused loops. 2020-07-10 16:42:03 -05:00
test [Polly] Fix prevectorization of fused loops. 2020-07-10 16:42:03 -05:00
tools Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
unittests Make Polly tests dependencies explicit 2020-05-04 08:06:39 +02:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www [BasicAA] Replace -basicaa with -basic-aa in polly 2020-06-30 15:50:17 -07:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
CREDITS.txt
LICENSE.txt Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +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.