triton-ascend-fused-operator-optimization

What problem does it solve?

Deeply analyzes and prescribes methods to optimize fused operators on Ascend NPUs, enabling higher throughput and lower latency through structured fusion strategies and performance analysis.

Core Features & Use Cases

• Two-stage fusion planning: coordinates multi-pass fusion and data-layout refinements for Ascend-compatible kernels.
• Data access pattern restructuring: reorganizes loads to maximize contiguous memory traffic and minimize bandwidth.
• Use Case: accelerate elementwise + normalization fusion, softmax+topk fusion, and matmul+activation fusion on Ascend with Triton-based strategies.

Quick Start

Analyze a fused-operator workload on Ascend NPUs and propose a Triton-based optimization plan including analysis, fusion strategies, and evaluation steps.