Sida Zhao
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| title | conference | date |
|---|---|---|
| Understanding Stragglers in Large Model Training Using What-if Analysis | OSDI '25 | 2025-07-07 |
Five-month ByteDance cluster traces, with jobs up to >5,000 GPUs, drive a counterfactual what-if simulation that replaces computation times with the mean and… | ||
| MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) | 2024-04-16 |
MegaScale is a production system that trains LLMs on more than 10,000 GPUs and achieves concrete gains: 55.2% Model FLOPs Utilization when training a 175B… | ||
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