llvm-project/polly
Chandler Carruth 11b89c56cc [TI removal] Generically discuss terminators rather than use the soon to
vanish subclass name.

llvm-svn: 344728
2018-10-18 07:43:30 +00:00
..
cmake [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
docs [doc] Fix HowToManuallyUseTheIndividualPiecesOfPolly 2018-09-26 15:22:39 +00:00
include/polly [TI removal] Make `getTerminator()` return a generic `Instruction`. 2018-10-15 10:42:50 +00:00
lib [TI removal] Generically discuss terminators rather than use the soon to 2018-10-18 07:43:30 +00:00
test Fix another error related to YAML quoting. 2018-10-12 17:28:39 +00:00
tools Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
unittests Update isl-cpp bindings 2018-08-09 05:07:14 +00:00
utils [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www Move www/experiments to docs/experiments 2018-09-26 15:21:43 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +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 [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
CREDITS.txt
LICENSE.txt [External] Move lib/JSON to lib/External/JSON. NFC. 2017-02-05 15:26:56 +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.