triton-ascend-performance-improvement

What problem does it solve?

Triton Ascend 性能优化实战经验。从批量自适应搜索中提炼的通用优化模式，覆盖 tile 调优方法论、内存加载优化、reduction 优化、隐式广播、多 Pass 合并、数据访问重构等。

Core Features & Use Cases

• Tile sizing guidance for hardware constraints like L0 caches and UB/CB occupancy.
• Memory load optimizations including mask-based loads to reduce unnecessary transfers.
• Implicit broadcasting and reduction fusion to minimize intermediates and improve cache usage.
• Two-pass vs single-pass strategies for normalization and reduction workflows.
• Data layout guidance and multi-pass merging to reduce global memory traffic.

Quick Start

Apply the recommended optimization patterns to your next Triton Ascend kernel and compare performance against a baseline.