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llvm-project/polly
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Fangrui Song 36c7d79dc4 Remove unneeded cl::ZeroOrMore for cl::opt options 
Similar to 557efc9a8b.
This commit handles options where cl::ZeroOrMore is more than one line below
cl::opt.
 		2022-06-04 00:10:42 -07:00
..
cmake [polly][cmake] Use `GNUInstallDirs` to support custom installation dirs 2022-01-18 20:33:42 +00:00
docs Bump the trunk major version to 15 2022-02-01 23:54:52 -08:00
include/polly [Polly] Migrate -polly-mse to the new pass manager. 2022-06-01 13:37:58 -05:00
lib Remove unneeded cl::ZeroOrMore for cl::opt options 2022-06-04 00:10:42 -07:00
test [IR] Enable opaque pointers by default 2022-06-02 09:40:56 +02:00
tools
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unittests [polly][unittests] Link DeLICMTests with libLLVMCore 2022-01-28 21:58:40 +01:00
utils Harmonize Python shebang 2020-07-16 21:53:45 +02:00
www [Polly] Clean up Polly's getting started docs. 2021-10-14 12:26:57 -05:00
.arclint
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.gitattributes
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.gitignore
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CMakeLists.txt [cmake] Make include(GNUInstallDirs) always below project(..) 2022-01-20 18:59:17 +00:00
CREDITS.txt
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LICENSE.TXT Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
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.