tilelang-cuda-basics

What problem does it solve?

TileLang CUDA provides a streamlined pathway for developers to create efficient GPU kernels using a Python-like DSL, reducing complexity in kernel logic and memory management.

Core Features & Use Cases

• Understand TileLang CUDA core concepts, kernel structure, and memory hierarchy to write optimized kernels.
• Apply patterns such as elementwise operations and GEMM, enabling practical GPU computation tasks like formatting data, transforming arrays, or performing matrix operations.
• Use TileLang CUDA to prototype and optimize small to moderate kernels for research and production workflows.

Quick Start

Install TileLang CUDA and run the provided basic example to compile and execute a simple kernel.