mcblas

Community

GPU-accelerated linear algebra for AI and HPC workloads.

Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables efficient computation of linear algebra operations essential for AI training, inference, and scientific computing.

Core Features & Use Cases

  • Core Math Computations: Accelerates matrix multiplication, vector operations, and matrix factorizations.
  • Application Scenarios: Used in deep learning frameworks for model training and inference, as well as HPC scientific simulations involving large-scale linear algebra.
  • Functional Capabilities: Supports a wide range of BLAS routines including GEMM, GEMV, and others, optimized for GPU hardware.

Quick Start

Use the mcblas skill to perform a matrix multiplication with your input matrices stored in GPU memory.

Dependency Matrix

Required Modules

maca_runtime

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: mcblas
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#mcblas

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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