hanchenye-llvm-project/polly
Tobias Grosser 8bd7f3c0a5 [ScopDetect/Info] Allow unconditional hoisting of loads from dereferenceable ptrs
In case LLVM pointers are annotated with !dereferencable attributes/metadata
or LLVM can look at the allocation from which a pointer is derived, we can know
that dereferencing pointers is safe and can be done unconditionally. We use this
information to proof certain pointers as save to hoist and then hoist them
unconditionally.

llvm-svn: 297375
2017-03-09 11:36:00 +00:00
..
cmake [Cmake] Optionally use a system isl version. 2017-02-27 17:54:25 +00:00
docs Porting the example illustrating Polly from HTML to reStructuredText 2017-02-10 11:46:57 +00:00
include/polly [ScopDetection] Require LoadInst base pointers to be hoisted. 2017-03-07 20:28:43 +00:00
lib [ScopDetect/Info] Allow unconditional hoisting of loads from dereferenceable ptrs 2017-03-09 11:36:00 +00:00
test [ScopDetect/Info] Allow unconditional hoisting of loads from dereferenceable ptrs 2017-03-09 11:36:00 +00:00
tools GPURuntime: ensure compilation with C99 2016-09-11 07:32:50 +00:00
unittests [Support] Remove NonowningIslPtr. NFC. 2017-02-23 17:57:27 +00:00
utils
www Porting the example illustrating Polly from HTML to reStructuredText 2017-02-10 11:46:57 +00:00
.arcconfig Upgrade all the .arcconfigs to https. 2016-07-14 13:15:37 +00:00
.arclint [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +00:00
.gitattributes
.gitignore Do not track the isl PDF manual in SVN 2017-01-16 11:48:03 +00:00
CMakeLists.txt [Cmake] Optionally use a system isl version. 2017-02-27 17:54:25 +00:00
CREDITS.txt
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +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.