xe2-sdp-bf16
xe2-sdp-bf16 is an MLOps & model serving skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates xe2-sdp-bf16 C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when writing, optimizing, or debugging BF16 Flash Attention SDP kernels targeting Intel Xe2 (Lunar Lake/LNL, Battlemage/BMG) GPU using SYCL ESIMD. Xe2 is the GPU architecture; LNL and BMG are product names. Covers the bf16 and bf16io (hybrid) kernel architectures, bf16 ALU limitations on Xe2, type-conversion cost hiding, compensation strategies, DPAS type selection, and all optimization discoveries from the bf16 kernel development journey. Use whenever the user mentions bf16, bfloat16, mixed-precision SDP, or type conversion overhead in attention kernels.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 2,499
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 98 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. BF16 kernel tuning for Intel Xe2 GPUs via SYCL ESIMD
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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