google/highway

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5929 stars · 481 forks observed · 2026-10-15

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Highway is a C++ library providing performance-portable SIMD/vector intrinsics that work across seven CPU architectures. It supports runtime dispatch to select the best available instruction set, or static targeting of a single instruction set with the same application code.

Use cases

• write SIMD code that runs on x86, ARM, and WASM without rewriting
• speed up image processing kernels with vector instructions
• accelerate compression or cryptography routines with SIMD
• avoid fragile compiler autovectorization with explicit vector intrinsics
• dispatch to AVX-512 or NEON at runtime on heterogeneous hardware
• implement fast sorting or linear algebra with data-parallel code

When to choose

• you need predictable SIMD performance across multiple CPU architectures
• you want runtime CPU feature dispatch without duplicating code
• you need fine-grained control over vector instructions instead of relying on autovectorization
• you are building performance-critical C++ software like codecs, image processing, or math libraries

When to avoid

• your workload is not data-parallel and gains little from SIMD
• you want a higher-level parallelism framework like OpenMP or TBB for task parallelism
• you are not writing C++ or cannot use C++17
• you only target a single CPU architecture and compiler intrinsics suffice

Facets

library · maturity stable

math image-processing compression cryptography performance graphics developer-tools cpp cross-platform wasm simd vectorization runtime-dispatch intrinsics avx2 avx512 neon sse algorithms gpu

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