Zeus: interpretable ML-based job scheduling in GPU datacentres

• 主要作者: Amrita, Ravishankar
• 其他作者: Zhang Tianwei
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
• 在線閱讀: https://hdl.handle.net/10356/156566
• 機構: Nanyang Technological University

Hardware accelerators such as GPUs are essential for the development of Deep Learning (DL) models - as their training process is compute-intensive. A growing number of organisations have employed expensive multi-tenant GPU clusters to run distributed DL training jobs. Efficient job schedulers are re...