EuroSys 2025

Meta Info

Homepage: https://2025.eurosys.org

Paper list: https://2025.eurosys.org/accepted-papers.html

Papers

Large Language Models (LLMs)

• LLM inference

  • Fast State Restoration in LLM Serving with HCache

    • THU

  • Stateful Large Language Model Serving with Pensieve

    • NYU

  • CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion

    • CUHK-Shenzhen & UChicago & Stanford

  • T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge

    • USTC & MSRA

• LLM fine-tuning

  • HybridFlow: A Flexible and Efficient RLHF Framework

    • HKU & ByteDance

Distributed Training

• JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs

  • UNIST & Samsung

• FlowCheck: Decoupling Checkpointing and Training of Large-Scale Models

  • SJTU & Alibaba Cloud

ML Inference

• A House United Within Itself: SLO-Awareness for On-Premises Containerized ML Inference Clusters via Faro

  • UIUC & IBM Research

Serverless Computing

• Serverless Cold Starts and Where to Find Them

  • Huawei

GPU Sharing

• Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing

  • SJTU & Microsoft & Alibaba

• Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters

  • University of Macau & SIAT, CAS

Acronyms

• RLHF: Reinforcement Learning from Human Feedback

• ML: Machine Learning