Programming Guides Overview

This section provides a practical guide to writing high‑performance kernels with Tile Language (tile‑lang). It mirrors the structure of a similar guide in another project and adapts it to tile‑lang concepts and APIs.

  • Audience: Developers implementing custom GPU/CPU kernels with tile‑lang

  • Prereqs: Basic Python, NumPy/Tensor concepts, and familiarity with GPU programming notions

  • Scope: Language basics, control flow, instructions, autotuning, and type system

What You’ll Learn

  • How to structure kernels with TileLang’s core DSL constructs

  • How to move data across global/shared/fragment and pipeline compute

  • How to apply autotuning to tile sizes and schedules

  • How to specify and work with dtypes in kernels

Suggested Reading Order

  1. 語言基礎

  2. 控制流程

  3. Instructions

  4. Autotuning

  5. 型別系統