biren-sublas
CommunityHigh-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 requiredComponents
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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