triton-ascend-elementwise

Community

Optimize elementwise ops on Ascend with Triton.

Authorxchang1121
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This guide helps developers accelerate on-device elementwise operations on Ascend hardware by providing a structured approach to write fast, low-latency kernels with Triton.

Core Features & Use Cases

  • Standard elementwise kernel pattern using a 1D flattened tensor for contiguous memory access.
  • Kernel fusion to combine multiple elementwise steps and reduce memory traffic.
  • Broadcasting support, numerical stability practices, and performance tuning tips for real-world models.

Quick Start

Implement a Triton elementwise kernel for Ascend devices following this guide to accelerate per-element computations.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: triton-ascend-elementwise
Download link: https://github.com/xchang1121/AutoResearch-CC-hook/archive/main.zip#triton-ascend-elementwise

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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