hanchenye-llvm-project/polly
Tobias Grosser 0865e775bf ScopInfo: Remove indentation in hoistInvariantLoads
We move verifyInvariantLoads out of this function to allow for an early return
without the need for code duplication. A similar transformation was suggested
by Johannes Doerfert in post commit review of r262033.

llvm-svn: 262203
2016-02-29 07:29:42 +00:00
..
cmake Compile ISL into its own library 2015-09-24 11:30:22 +00:00
docs Support accesses with differently sized types to the same array 2016-02-04 13:18:42 +00:00
include/polly LoopGenerators: Expose some parts of the parallel loop generator 2016-02-27 06:24:58 +00:00
lib ScopInfo: Remove indentation in hoistInvariantLoads 2016-02-29 07:29:42 +00:00
test Revert "Add update_test.py script." 2016-02-29 07:12:10 +00:00
tools Remove autotools build system 2016-01-28 12:00:33 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www www: Fix typo 2016-02-25 15:21:02 +00:00
.arcconfig Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.arclint Adjusted arc linter config for modern version of arcanist 2015-08-12 09:01:16 +00:00
.gitattributes
.gitignore Add git patch files to .gitignore 2015-06-23 20:55:01 +00:00
CMakeLists.txt Add basic doxygen infrastructure for Polly 2016-02-04 07:16:36 +00:00
CREDITS.txt Add myself to the credits 2014-08-10 03:37:29 +00:00
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.