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hanchenye-llvm-project/polly
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Michael Kruse 88afd75300 [test] Add wrap flags after D61934. 
https://reviews.llvm.org/D61934, committed as r362687, r363540, r363364
and r363147, made some emitted instruction nus/nsw. Add these falgs to
Polly's regression tests.

This should fix
    Polly :: Isl/CodeGen/partial_write_in_region_with_loop.ll
    Polly :: Isl/CodeGen/scev_expansion_in_nonaffine.ll

llvm-svn: 363599
 		2019-06-17 19:17:07 +00:00
..
cmake [CMake] Fix generation of exported targets in build directory 2018-11-06 15:18:17 +00:00
docs [CodeGen] LLVM OpenMP Backend. 2019-03-19 03:18:21 +00:00
include/polly [ScopBuilder] Move addInvariantLoads to ScopBuilder. NFC. 2019-06-12 22:51:56 +00:00
lib [ScopInliner] Register FunctionAnalysisManagerModuleProxy. 2019-06-17 16:01:40 +00:00
test [test] Add wrap flags after D61934. 2019-06-17 19:17:07 +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 [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
www Adjust documentation for git migration. 2019-01-29 16:37:27 +00:00
.arcconfig [arc] Remove unittesting from arcconfig 2018-05-15 13:43:42 +00:00
.arclint
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.gitattributes
…
.gitignore
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CMakeLists.txt [JSONExporter] Replace bundled Jsoncpp with llvm/Support/JSON.h. NFC. 2018-08-01 00:15:16 +00:00
CREDITS.txt
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LICENSE.txt Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
README
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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.