hanchenye-llvm-project/polly
Michael Kruse a0db63a195 [IslTools] dumpPw: Dump same structure pieces together.
Print same or similar structure elements together. Previously, the
value could take more importance that the space structure if visited
first in the space nest tree.

Before:
{
  Left[0] -> Right[i]: i >= 0;
  Left[1] -> AnotherRight[i];
  Left[2] -> Right[-1]
}

After:
{
  Left[0] -> Right[i]: i >= 0;
  Left[2] -> Right[-1];
  Left[1] -> AnotherRight[i]
}

llvm-svn: 322581
2018-01-16 18:39:42 +00:00
..
cmake [CMake] Use only keyword-version of target_link_library. NFC. 2018-01-12 16:09:18 +00:00
docs Docs, release notes: update version to 7.0.0 2018-01-03 15:54:54 +00:00
include/polly Fix isl out-of-quota errors affecting later quota guards. 2017-12-22 01:10:31 +00:00
lib [IslTools] dumpPw: Dump same structure pieces together. 2018-01-16 18:39:42 +00:00
test [CodeGen] Fix noalias annotations for memcpy/memmove. 2017-12-22 17:44:53 +00:00
tools [GPUJIT] Improved temporary file handling. 2017-09-19 10:41:29 +00:00
unittests [CMake] Use PRIVATE in target_link_libraries for executables 2017-12-05 21:49:56 +00:00
utils
www [Polly] Information about generalized matrix multiplication 2017-09-24 19:00:25 +00:00
.arcconfig [polly] Set up .arcconfig to point to new Diffusion PLO repository 2017-11-27 17:34:03 +00:00
.arclint
.gitattributes
.gitignore
CMakeLists.txt [CMake] Use only keyword-version of target_link_library. NFC. 2018-01-12 16:09:18 +00:00
CREDITS.txt
LICENSE.txt
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.