llvm-project/polly
Tobias Grosser 3cc99748b6 Fix some coding convention problems.
llvm-svn: 158081
2012-06-06 16:33:15 +00:00
..
autoconf Detect the cuda library available. 2012-06-06 12:16:10 +00:00
cmake Detect the cuda library available. 2012-06-06 12:16:10 +00:00
docs Add initial version of Polly 2011-04-29 06:27:02 +00:00
include Detect the cuda library available. 2012-06-06 12:16:10 +00:00
lib Fix some coding convention problems. 2012-06-06 16:33:15 +00:00
test ScopInfo: Add parameter bounds to context 2012-05-22 10:47:27 +00:00
tools Add initial version of Polly 2011-04-29 06:27:02 +00:00
utils Add llvm.codegen intrinsic patch file to polly/utils. 2012-05-30 13:53:57 +00:00
www www: Add GPGPU Code Generation Documentation. 2012-05-30 13:54:02 +00:00
CMakeLists.txt Detect the cuda library available. 2012-06-06 12:16:10 +00:00
CREDITS.txt (Test commit for polly) 2011-07-16 13:30:03 +00:00
LICENSE.txt Happy new year 2012! 2012-01-01 08:16:56 +00:00
Makefile Revert "Fix a bug introduced by r153739: We are not able to provide the correct" 2012-04-11 07:43:13 +00:00
Makefile.common.in Add initial version of Polly 2011-04-29 06:27:02 +00:00
Makefile.config.in Detect the cuda library available. 2012-06-06 12:16:10 +00:00
README Remove some empty lines 2011-10-04 06:56:36 +00:00
configure Detect the cuda library available. 2012-06-06 12:16:10 +00:00

README

Polly - Polyhedral optimizations for LLVM

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.