triton-ascend-elementwise
CommunityOptimize elementwise ops on Ascend with Triton.
Software Engineering#performance#broadcasting#triton#gpu-acceleration#ascend#kernel-optimization#elementwise
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 requiredComponents
Standard package💻 Claude Code Installation
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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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