biren-sublas

Community

High-performance linear algebra computations for AI and HPC.

Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a fast and reliable library for executing fundamental linear algebra operations, essential for AI training, inference, and scientific computing.

Core Features & Use Cases

  • Optimized GEMM and BLAS routines: Efficiently perform matrix and vector calculations critical for deep learning models and scientific simulations.
  • Support for AI and HPC workloads: Enables high-throughput matrix multiplications and vector routines on壁仞GPU hardware.
  • Use Case: Deploy a high-speed GEMM operation to accelerate neural network training or perform large-scale scientific matrix computations seamlessly.

Quick Start

Use the biren-sublas skill to execute a matrix multiplication of two matrices stored in device memory.

Dependency Matrix

Required Modules

None required

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: biren-sublas
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#biren-sublas

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