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ixkn

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Optimize GPU kernel performance analysis for faster development.

Software Engineering#performance#optimization#visualization#gpu#cuda#kernel profiling
Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables detailed performance analysis of CUDA kernel functions, helping developers identify bottlenecks and optimize GPU workloads.

Core Features & Use Cases

  • Performance Metrics Monitoring: Collects execution time, occupancy, memory throughput, and instruction counts during GPU kernel runs.
  • Data Visualization & Reports: Generates visual reports and exports detailed results in various formats like JSON, CSV, and HTML.
  • Use Case: A developer running a deep learning model on GPU can analyze kernel performance to enhance efficiency or troubleshoot slowdowns.

Quick Start

Use the ixkn command-line tool to analyze kernel execution time and occupancy for your CUDA application.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: ixkn
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ixkn

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