Learning Path

Follow the optimization ladder in the order the repository was designed to teach it

What each stage teaches

Naive -> Tiled

• Thread/block mapping
• Memory coalescing
• Shared-memory reuse

Tiled -> Bank-Free

• 32-bank shared-memory behavior
• Why [32][33] matters

Bank-Free -> Double Buffer

• Pipeline thinking
• Tile staging and latency hiding

Double Buffer -> Tensor Core

• WMMA fragments
• Mixed precision
• Safe fallback behavior for unsupported shapes

Before you start

• Make sure your environment follows Getting Started
• Use the Architecture page if you want the repository-level map first
• Keep the Specifications Index nearby if you want the normative requirements