cuda-guide

What problem does it solve?

This Skill provides essential guardrails, patterns, and best practices for developing high-performance CUDA and GPU-accelerated applications, ensuring efficient memory usage and maximum computational throughput.

Core Features & Use Cases

• Performance Optimization: Offers guidance on memory hierarchy, coalesced access, occupancy, and synchronization.
• Error Handling: Includes robust CUDA API error checking and kernel launch validation.
• Use Case: When developing a deep learning model that heavily utilizes GPU computation, this Skill helps ensure your CUDA kernels are correctly implemented, efficiently utilize hardware resources, and are free from common performance pitfalls.

Quick Start

Use the cuda-guide skill to review best practices for optimizing CUDA kernel performance.