11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.DC2026
A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with PrismLLM
Shaoke Xi, ChonLam Lao, Boyi Jia +11
Large language model (LLM) training today runs on clusters spanning thousands of GPUs. While this scale enables rapid model advances, developing, debugging, and performance-tuning…
cs.SE2021
DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures
Zhouyang Jia, Shanshan Li, Tingting Yu +5
Applications depend on libraries to avoid reinventing the wheel. Libraries may have incompatible changes during evolving. As a result, applications will suffer from compatibility f…
cs.LG2019★ 11 cited
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
Shujie Han, Jun Wu, Erci Xu +7
To provide proactive fault tolerance for modern cloud data centers, extensive studies have proposed machine learning (ML) approaches to predict imminent disk failures for early rem…