llvm-project

History

[SCEV] Move NoWrapFlags definition outside SCEV scope, use for SCEVUse. (#190199 )

The patch moves out of SCEV's scope so they can be re-used for SCEVUse.
SCEVUse gets an additional getNoWrapFlags helper that returns the union
of the expressions SCEV flags and the use-specific flags.

SCEVExpander has been updated to use this new helper.

In order to avoid other changes, the original names are exposed via
constexpr in SCEV. Not sure if there's a nicer way. One alternative
would be to define the enum in struct, and have SCEV inherit from it.

The patch also clarifies that the SCEVUse flags encode NUW/NSW, and
hides getInt, setInt, etc to avoid potential mis-use.

PR: https://github.com/llvm/llvm-project/pull/190199

2026-04-04 15:03:36 +00:00

[Polly] Forward VFS from PassBuilder for IO sandboxing (#188657 )

2026-03-28 23:55:05 +01:00

cmake

[Polly][CMake] Fix exports (#122123 )

2025-01-20 12:33:29 +01:00

docs

[Polly] Remove ScopPass infrastructure (#125783 )

2025-11-16 14:12:52 +00:00

include/polly

[Polly][NFC] Convert ScopBuilder::getPwAff() to isl++ (#190458 )

2026-04-04 13:20:15 +00:00

lib

[SCEV] Move NoWrapFlags definition outside SCEV scope, use for SCEVUse. (#190199 )

2026-04-04 15:03:36 +00:00

test

[SCEV] Move NoWrapFlags definition outside SCEV scope, use for SCEVUse. (#190199 )

2026-04-04 15:03:36 +00:00

unittests

[Polly] Remove ScopPass infrastructure (#125783 )

2025-11-16 14:12:52 +00:00

utils

[Polly] Fix typos discovered by codespell (#124545 )

2025-01-27 16:18:47 +01:00

www

[Polly] Fix typos discovered by codespell (#124545 )

2025-01-27 16:18:47 +01:00

.arclint

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.gitattributes

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.gitignore

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CMakeLists.txt

[Polly] Remove Accidental Test Comment in CMakeLists.txt

2025-07-22 21:27:56 +00:00

CREDITS.txt

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LICENSE.TXT

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Maintainers.md

[polly] Add a Maintainers.md file

2024-12-09 13:49:06 +00:00

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.