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llvm-project/polly
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Tobias Grosser 7f54714dcc tests: Properly check if asserts are available 
In my previous commits I failed to realise that my new requires lines fully
disabled these tests. We now properly check if we are in an asserts build and
only disable the tests if assertions are not available.

Reported-by: Sean Silva <silvas@purdue.edu>
llvm-svn: 176900
 		2013-03-12 21:27:39 +00:00
..
autoconf 'chmod -x' on files that do not need the executable bits 2012-12-29 15:09:03 +00:00
cmake autoconf/cmake: Always require isl code generation. 2012-10-21 21:48:21 +00:00
docs
…
include Print function names under --polly-report 2013-03-04 19:49:51 +00:00
lib Print function names under --polly-report 2013-03-04 19:49:51 +00:00
test tests: Properly check if asserts are available 2013-03-12 21:27:39 +00:00
tools Update the copyright coredits -- Happy new year 2013! 2013-01-01 10:00:19 +00:00
utils check that clang-format exists 2013-02-15 21:26:50 +00:00
www www: Add kernelgen publications 2013-01-18 00:26:39 +00:00
CMakeLists.txt Do not run formatting checks by default 2013-02-14 16:42:50 +00:00
CREDITS.txt (Test commit for polly) 2011-07-16 13:30:03 +00:00
LICENSE.txt Update the copyright coredits -- Happy new year 2013! 2013-01-01 10:00:19 +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 'chmod -x' on files that do not need the executable bits 2012-12-29 15:09:03 +00:00
Makefile.config.in 'chmod -x' on files that do not need the executable bits 2012-12-29 15:09:03 +00:00
README Trivial change to the README, mainly to test commit access. 2012-10-09 04:59:42 +00:00
configure do not require cloog from configure 2012-11-26 23:03:41 +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.