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Add SVE2 support in xsimd as a fundable project.#314

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SylvainCorlay merged 2 commits intoQuantStack:masterfrom
HaudinFlorence:add-SVE2-support-in-xsimd-as-fundable-project
Apr 2, 2026
Merged

Add SVE2 support in xsimd as a fundable project.#314
SylvainCorlay merged 2 commits intoQuantStack:masterfrom
HaudinFlorence:add-SVE2-support-in-xsimd-as-fundable-project

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@SylvainCorlay SylvainCorlay merged commit da37722 into QuantStack:master Apr 2, 2026
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#### Overview
xsimd is a C++ header-only library that abstracts SIMD (vectorization) intrinsics behind a single, generic API. The same code - `xsimd::batch<float>` - compiles to optimal machine code on x86 SSE/AVX, ARM NEON, RISC-V, and WebAssembly, with no runtime overhead. When an intrinsic is missing on a given target, xsimd falls back gracefully rather than failing or leaving the developer to write platform-specific branches. This is why projects like Mozilla Firefox, Apache Arrow, and Pythran have adopted it as their vectorization layer.
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Sorry I'm late to the party.

Wanted to add:

This is why projects like Mozilla Firefox, Apache Arrow, and Pythran have adopted it as their vectorization layer.

This is why projects like Mozilla Firefox, Apache Arrow, Meta Velox, KDE Krita, and Pythran have adopted it as their vectorization layer.


We propose to implement a complete xsimd::sve2 backend — all arithmetic, mathematical, and reduction operations . The work will be fully tested, documented, and merged upstream into the public repository under the existing BSD 3-Clause license.

##### Are you interested in this project? Either entirely or partially, contact us for more information on how to help us fund it No newline at end of file
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And towards the end 👀 @SylvainCorlay

Funding this development will directly enhance the cutting-edge data processing workflow using Arrow and Velox, paving the way for the future of ARM computing!

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Ok I can add those parts @AntoinePrv

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@AntoinePrv Can you please check PR #316. Thanks

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3 participants