sue-gantt-chart
CommunityVisualize SUE experiment timelines and GPU usage.
Education & Research#gantt-chart#gpu-utilization#sue-experiments#hpc-scheduling#slurm-timeline#parallelism-planning#experiment-visualization
Authordongzhuoyao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Manually tracking concurrency, GPU utilization, and bottlenecks for large-scale ML/HPC experiments is time-consuming and error-prone, especially when coordinating multiple Slurm job waves across HPC clusters.
Core Features & Use Cases
- Dual-mode timeline rendering: Generate post-run forensic Gantt charts from Slurm sacct data or pre-run planned arrangement charts from parallelism plans.
- Granular GPU-level visibility: View per-GPU busy/idle intervals, tail-idle gaps, and critical path laggards to optimize resource usage.
- Use Case: Use this skill after a SUE fullrun to audit GPU utilization, or during parallelism discussion to show operators the planned wave layout before job submission.
Quick Start
Use the sue-gantt-chart skill to generate an interactive HTML Gantt chart of your SUE experiment's planned wave arrangement or post-run job timeline for sharing and analysis.
Dependency Matrix
Required Modules
PyYAML
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: sue-gantt-chart Download link: https://github.com/dongzhuoyao/deepresearch/archive/main.zip#sue-gantt-chart Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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