hanchenye-llvm-project/polly
Michael Kruse b67e5d3f27 [AST] Adapt Polly to AnalysisSetTracker changes. NFC.
The method AliasSetTracker::getAliasSetForPointer was removed and replaced by AliasSetTracker::getAliasSetFor for the restructuring in r339930. 

Since Polly uses AliasSetTracker::getAliasSetForPointer, a temporary fix has been committed in r339937 with a comment:

     Can someone from polly please migrate usage and then delete the wrapper?

This commit is doing exactly that.

llvm-svn: 340072
2018-08-17 19:31:41 +00:00
..
cmake [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
docs Update docs version and clear release notes after 8.0.0 version bump 2018-08-01 14:11:32 +00:00
include/polly [DepInfo] Use isl++ in Dependences::isValidSchedule. NFC. 2018-08-10 22:33:27 +00:00
lib [AST] Adapt Polly to AnalysisSetTracker changes. NFC. 2018-08-17 19:31:41 +00:00
test [ScopBuilder] Set domain to empty instead of NULL. 2018-08-01 22:28:32 +00:00
tools Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
unittests Update isl-cpp bindings 2018-08-09 05:07:14 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www [Polly] Information about generalized matrix multiplication 2017-09-24 19:00:25 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
.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
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.