croq-tune
OfficialAI-driven GPU kernel optimizer for seamless performance tuning.
Software Engineering#automation#deep learning#performance optimization#profiling#compiler#GPU#kernel tuning
AuthorLancerLab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of tuning GPU kernels by managing iterative profiling, idea generation, and implementation, thus optimizing GPU performance.
Core Features & Use Cases
- Automated Tuning Loop: Launches ongoing experiments to discover optimal kernel configurations using AI-driven strategies.
- Workflow Management: Coordinates profiling, idea proposals, implementation, verification, measurement, and decision-making processes.
- Use Case: A developer wants to maximize GPU TFLOPS for a custom kernel without manual trial-and-error, by letting the AI continually refine and optimize the kernel parameters.
Quick Start
Launch the croq-tune skill to start an indefinite tuning session targeting your GPU and specific kernel parameters, with minimal user intervention.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 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: croq-tune Download link: https://github.com/LancerLab/croqtile-tuner/archive/main.zip#croq-tune Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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