hanchenye-llvm-project

History

Jonas Devlieghere 736259e342 [Polly] Migrate llvm::make_unique to std::make_unique Now that we've moved to C++14, we no longer need the llvm::make_unique implementation from STLExtras.h. This patch is a mechanical replacement of (hopefully) all the llvm::make_unique instances across the monorepo. Differential revision: https://reviews.llvm.org/D66259 llvm-svn: 368935		2019-08-14 22:28:12 +00:00
..
cmake	[CMake] Fix generation of exported targets in build directory	2018-11-06 15:18:17 +00:00
docs	Bump the trunk version to 10.0.0svn	2019-07-18 11:51:05 +00:00
include/polly	[NFC][ScopBuilder] Move buildDomains and its callees to ScopBuilder.	2019-08-06 21:51:18 +00:00
lib	[Polly] Migrate llvm::make_unique to std::make_unique	2019-08-14 22:28:12 +00:00
test	[Polly-ACC] Fix test after IR-printer change.	2019-08-13 22:42:08 +00:00
tools	Fix typos throughout the license files that somehow I and my reviewers	2019-01-21 09:52:34 +00:00
unittests	Update the file headers across all of the LLVM projects in the monorepo	2019-01-19 08:50:56 +00:00
utils	…
www	Adjust documentation for git migration.	2019-01-29 16:37:27 +00:00
.arcconfig	…
.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	Fix typos throughout the license files that somehow I and my reviewers	2019-01-21 09:52:34 +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.