llvm-project/polly
Michael Kruse 8e06bf6b3a [Polly] Ensure consistent Scop::InstStmtMap. NFC.
InstStmtMap became inconsistent with ScopStmt::getInstructions() after
the statement's instructions is modified, e.g. by being considered
unused by the Simplify pass or being moved by ForwardOpTree.

Change ScopStmt::setInstructions() to also update its parent's
InstStmtMap. Also add assertions checking the consistency.
2020-08-22 10:14:20 -05:00
..
cmake [cmake] Use source-groups in Polly. 2020-01-07 14:20:06 -06:00
docs Bump the trunk major version to 12 2020-07-15 12:05:05 +02:00
include/polly [Polly] Ensure consistent Scop::InstStmtMap. NFC. 2020-08-22 10:14:20 -05:00
lib [Polly] Ensure consistent Scop::InstStmtMap. NFC. 2020-08-22 10:14:20 -05:00
test [Polly] Fix use-after-free. 2020-08-22 10:10:49 -05:00
tools Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
unittests [Polly] Support linking ScopPassManager against LLVM dylib 2020-08-07 06:46:35 +02:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [BasicAA] Replace -basicaa with -basic-aa in polly 2020-06-30 15:50:17 -07:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [Polly] Reuse LLVM's build rules for gtest/gmock 2020-08-09 12:53:31 +02:00
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 Test commit 2017-06-28 12:58:44 +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.