SIMDe
SIMDe is a header-only library that provides portable implementations of SIMD intrinsics for hardware lacking native support. It allows developers to port code across different architectures with minimal effort while enabling gradual optimization. The library currently supports various instruction set extensions and encourages contributions from programmers of all skill levels.
- ▪SIMDe allows seamless integration of SIMD intrinsics on hardware that does not natively support them.
- ▪The library enables developers to run NEON code on x86 machines without emulation.
- ▪Current implementations include support for ARM NEON and multiple x86 instruction sets.
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/simd-everywhere/simde |
| Publication time | Sat, 30 May 2026 16:21:26 +0000 |
| Retrieval time | 2026-05-30T16:29:38.850Z |
| Last seen | 2026-05-30T16:29:38.850Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
SIMD Everywhere The SIMDe header-only library provides fast, portable implementations of SIMD intrinsics on hardware which doesn't natively support them, such as calling SSE functions on ARM. There is no performance penalty if the hardware supports the native implementation (e.g., SSE/AVX runs at full speed on x86, NEON on ARM, etc.). This makes porting code to other architectures much easier in a few key ways: First, instead of forcing you to rewrite everything for each architecture, SIMDe lets you get a port up and running almost effortlessly. You can then start working on switching the most performance-critical sections to native intrinsics, improving performance gradually. SIMDe lets (for example) SSE/AVX and NEON code exist side-by-side, in the same implementation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.