Designing a SIMD Algorithm from Scratch

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  1. rust

    Empowering everyone to build reliable and efficient software.

    Not OP, but one thing that surprised me was if you are doing rust Simd in a library, and part of the code is marked #[inline] but others are not you might see catastrophic performance regressions. We saw an issue where the SIMD version was over 10x slower because we missed marking one function as inline. Essentially rustc converted it from an intrinsic to a regular function call.

    https://github.com/rust-lang/rust/issues/107617#issuecomment...

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

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  3. highway

    Performance-portable, length-agnostic SIMD with runtime dispatch

    At that point it is better to have some kind of DSL that should not be in the main language, because it would target a much lower level than a typical program. The best effort I've seen in this scene was Google's Highway [1] (not to be confused with HighwayHash) and I even once attempted to recreate it in Rust, but it is still distanced from my ideal.

    [1] https://github.com/google/highway

  4. fastbase64

    SIMD-accelerated base64 codecs

    How does this compare to fastbase64[0]? Great article, I'm happy to see this sort of thing online. I wish I could share the author's optimism about portable SIMD libraries.

    [0]: https://github.com/lemire/fastbase64

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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