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### Use case
Hi , as we all know java 21 has simd capability.
With simd we can assign variables much faster then regular sisd instructions.
Can we increase the performance of applications by util…
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SIMD allow revolutionary intra-core parallelism. Actually the fastest Json library on earth is called simdjson for this precise reason.
openjdk 16 release next month and bring SIMD support to the JVM…
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JDK 16 introduces the Vector API for SIMD parallelism directly from Java code: https://docs.oracle.com/en/java/javase/16/docs/api/jdk.incubator.vector/jdk/incubator/vector/package-summary.html
My u…
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[faer](https://github.com/sarah-ek/faer-rs) is
> a pure Rust implementation of low level linear algebra algorithms that leverages SIMD instructions, modern cache friendly algorithms and thread para…
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Hi there,
Thanks a lot for your work on `std-simd`, it's looking very well so far!
I was attempting my first code at using your library. I have previously used Vc, as well as other vectorization…
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Hi!, Thank you for this amazing library, however it is not clear by documentation if it supports matrix/tensor multiplication..
Does it employ also thread parallelism? (Parallel.For, in addition to…
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**Describe the solution you'd like**
IEEE Superscalar SIMD architecture / loop parallelism or vectorization in code here can significantly speed up FP calculations, depending on the levels of floatin…
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I tried to work-around current limitations with regard to SIMD and parallelism used at the same time and found another limitation. The following code:
```
@nb.njit(error_model='numpy', fastmath=True…
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Great to see this!
Are there any plans to wasm post mvp features like simd and multi threading instead of service workers for CPU based parallelism?
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[P2933R0](https://wg21.link/p2933r0) std::simd overloads for header (Daniel Towner, Ruslan Arutyunyan)