triton-ascend-case-reduction-sum-fused

What problem does it solve?

This Skill demonstrates how to optimize fused reduction with elementwise operations in Triton-Ascend kernels to maximize throughput on Ascend hardware.

Core Features & Use Cases

• Fusion of reduction and elementwise operations to improve kernel throughput on Ascend devices.
• Row-wise tiling and computation reorganization to minimize memory traffic and improve cache locality.
• Use Case: accelerating large-matrix reductions with subsequent elementwise operations in Triton kernels.

Quick Start

Run the Triton-Ascend reduction-sum fused example to observe performance improvements on a representative input tensor.