cuda-c-basics

What problem does it solve?

CUDA-C basics help newcomers and engineers quickly grasp core GPU programming concepts without wading through scattered references.

Core Features & Use Cases

• Core concepts: kernel, grid, block, threads, and memory types (global, shared, registers)
• Standard patterns: five-step kernel structure, indexing, and memory access
• Practical guidance: snippets on kernel launch, boundary checks, and safe PyTorch integration
• Use case: build a small CUDA kernel for vector add or simple matrix operation to learn the workflow

Quick Start

Follow this guide to set up a minimal CUDA-C kernel project and implement a simple example.