ixblas
CommunityAccelerate linear algebra computations on GPU with ease.
Software Engineering#HPC#deep learning#scientific computing#linear algebra#gpu#matrix multiplication
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables fast and efficient linear algebra operations on GPU hardware, optimizing computational workflows for scientific and HPC applications.
Core Features & Use Cases
- Matrix and Vector Operations: Provides functions such as matrix multiplication, vector addition, and dot products for high-performance computing tasks.
- Deep Learning and HPC: Supports training and inference workflows requiring optimized linear algebra routines on GPU accelerators.
- Use Case: Use this Skill to perform large-scale matrix multiplications in machine learning model training or scientific simulations with minimal latency.
Quick Start
Use the ixblas skill to perform matrix multiplication on sample data by importing the library and calling the gemm function to multiply two matrices.
Dependency Matrix
Required Modules
cuBLAScublas
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: ixblas Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ixblas Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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