triton-cuda-matmul

triton-cuda-matmul is an MLOps & model serving skill for AI agents, published by mindspore-ai in the akg repository on GitHub. Skillspace rates triton-cuda-matmul C (70/100) and it passed the safety scan; the rating is based on static analysis only.

矩阵乘法算子(matmul/bmm/linear)优化策略，包括分块 Tiling、共享内存缓存、Tensor Core 利用和大矩阵处理技巧。适用于实现 GEMM、批量矩阵乘、全连接层等矩阵运算的 CUDA 内核代码生成场景

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
255

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.

View source on GitHubmindspore-ai/akg

Our review

Architecture
92 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 2 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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