cuda-writing
CommunityExpert guidance for GPU kernel development and optimization.
Software Engineering#synchronization#memory management#performance tuning#cuda#gpu kernels#kernel optimization#stream management
Authorjarmak-personal
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides structured guidance on writing, modifying, and reviewing GPU kernels and CUDA code to improve performance and correctness.
Core Features & Use Cases
- GPU Kernel Development: Assists in creating, optimizing, and debugging CUDA kernels based on best practices.
- Streamlining GPU Dispatch Logic: Guides decisions on kernel lifecycle, stream overlap, and tier classification for GPU tasks.
- Use Case: A developer optimizing a new spatial analysis operation on GPU can consult this Skill for systematic kernel lifecycle management, synchronization strategies, and primitive selection.
Quick Start
Use the cuda-writing skill to understand how to classify your GPU operation and implement kernel launch configurations effectively.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: cuda-writing Download link: https://github.com/jarmak-personal/vibeSpatial/archive/main.zip#cuda-writing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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