hanchenye-llvm-project/polly
Michael Kruse 58fa3bb63a Do not store scalar accesses in InstructionToAccess
At code generation, scalar reads are generated before the other
statement's instructions, respectively scalar writes after them, in
contrast to array accesses which are "executed" with the instructions
they are linked to. Therefore it makes sense to not map the scalar
accesses to a place of execution. Follow-up patches will also remove
some of the directs links from a scalar access to a single instruction,
such that only having array accesses in InstructionToAccess ensures
consistency.

Differential Revision: http://reviews.llvm.org/D13676

llvm-svn: 256298
2015-12-22 23:25:11 +00:00
..
autoconf Generate gitversion.h in autoconf builds 2015-09-09 13:15:11 +00:00
cmake Compile ISL into its own library 2015-09-24 11:30:22 +00:00
include/polly Refactor canSynthesize in the BlockGenerators [NFC] 2015-12-22 19:08:49 +00:00
lib Do not store scalar accesses in InstructionToAccess 2015-12-22 23:25:11 +00:00
test Add option to assume single-loop scops with sufficient compute are profitable 2015-12-21 21:00:43 +00:00
tools Do not compile GPU library with sanitizers 2015-07-28 12:51:23 +00:00
utils Revise polly-{update|check}-format targets 2015-09-14 16:59:50 +00:00
www Mark a couple of issues as done 2015-09-24 14:30:14 +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 -sort-includes to our automatic source code formatting 2015-10-15 12:18:37 +00:00
CREDITS.txt
LICENSE.txt
Makefile
Makefile.common.in
Makefile.config.in Fix autotools build 2015-06-25 16:50:13 +00:00
README
configure Enable ISL's small integer optimization 2015-06-25 20:47:35 +00:00

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.