cpu-kernels Skill
Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging Face kernels ecosystem. Includes a two-phase workflow: Phase 1 correctness (generic → AVX2) and Phase 2 performance exploration (AVX512 with branching trial loop), runtime CPU dispatch, OpenMP Published by huggingface in kernels.
What is cpu-kernels Skill?
Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging Face kernels ecosystem. Includes a two-phase workflow: Phase 1 correctness (generic → AVX2) and Phase 2 performance exploration (AVX512 with branching trial loop), runtime CPU dispatch, OpenMP Published by huggingface in kernels. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Writing
- Writing use cases
Technical details
- Install or run with Copy skill directory
When to use cpu-kernels Skill
- Use it for writing.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/kernels
- Skill file: kernel-builder/skills/cpu-kernels/SKILL.md
What it does
Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging Face kernels ecosystem. Includes a two-phase workflow: Phase 1 correctness (generic → AVX2) and Phase 2 performance exploration (AVX512 with branching trial loop), runtime CPU dispatch, OpenMP
Skill instructions
CPU C++ Kernels for x86 Processors This skill provides patterns and guidance for developing optimized C++ kernels targeting x86 CPUs (Intel Xeon and compatible processors) with AVX2 and AVX512 intrinsics. Kernels are compiled via kernel-builder and distributed through the Hugging Face kernels ecosystem. Who runs these commands? You, the agent — not a human. This is an autonomous loop: you write/edit the C++ kernel, build it, then run the scripts below as tools (via Bash) to check correctness, benchmark, and profile. You read each result, record it with trialmanager.py, decide the next change from the Phase 2 decision tree, and repeat until you hit earlystopspeedup or run all maxtrials. Key Concepts (read before the Quick Start) The commands use a few names that mean different things. They are not interchangeable: | Name (example) | What it is | Used by | |----------------|-----------|---------| | baseline.py | The PyTorch reference implementation you optimize against. It is the ground
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Frequently asked questions
What is cpu-kernels?
cpu-kernels is a open-source AI agent skill with Copy skill directory. Provides guidance for writing, optimizing, and benchmarking C++ CPU kernels with SIMD intrinsics (AVX2/AVX512) for the Hugging Face kernels ecosystem.
Who is cpu-kernels best for?
cpu-kernels is best for reusing agent instructions, scripts, and references, writing workflows.
How do I install cpu-kernels?
Install or run cpu-kernels using Copy skill directory. Check cpu-kernels for the latest setup command.
Is cpu-kernels actively maintained?
cpu-kernels may need a closer maintenance check before production use.
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