Documentation

Welcome to the CUDA GEMM Optimization Tutorial. This guide teaches GPU programming through hands-on matrix multiplication optimization.

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Tutorial Chapters

1. Quick Start — Environment setup and first build
2. Architecture — System design and components
3. GEMM Optimization — The 7-level optimization path
4. Performance Tuning — Profiling and optimization tips
5. API Reference — Complete API documentation
6. Contributing — How to contribute

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Learning Paths

For Beginners

Start here if you’re new to CUDA:

1. Quick Start - Set up your environment
2. Naive Implementation - Learn basic CUDA concepts
3. Tiled GEMM - Understand shared memory

For Intermediate Developers

Already know CUDA basics? Jump to optimization:

1. Coalesced Access - Optimize memory patterns
2. Double Buffering - Hide latency
3. Register Blocking - Maximize throughput

For Advanced Users

Looking for production techniques?

1. Fused Kernels - Operator fusion
2. Vectorization - SIMD optimization
3. Performance Tuning - Architecture-specific tuning

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