EuroSys 2024

Meta Info

Homepage: https://www.eurosys.org/news/eurosys-2024

Acceptance rate: 14.7% (= 71 / 484)

Papers

GPU Sharing

• Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications [Personal Notes] [Paper]

  • ETH

Resource Scheduler for DL

• Blox: A Modular Toolkit for Deep Learning Schedulers [arXiv] [Code]

  • UW-Madison & MSR

Fault Tolerance for DL Training

• Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures [Personal Notes] [Paper] [Homepage]

  • MSR India

  • Creates recovery state only when a failure occurs, avoiding periodic checkpoint-frequency tuning and steady-state checkpoint overhead.

  • Recovers by replaying a single minibatch iteration across GPUs, reducing failure recovery from minutes to seconds per GPU with nearly zero steady-state overhead.