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ORCIDPACMI@SOSP 2025: Seoul, Korea
- Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, PACMI 2025, Seoul, Republic of Korea, October 13-16, 2025. ACM 2025, ISBN 979-8-4007-2205-9
- Megan Frisella
, Arvin Oentoro, Xiangyu Gao, Gilbert Bernstein, Stephanie Wang:
Piper: Towards Flexible Pipeline Parallelism for PyTorch. 1-6 - Zicheng Wang, Zesen Liu, Yinggang Guo, Lizhi Sun, Ligeng Chen, Yixin Guo, Claire Gu, Jun Xiao, Tao Wang, Lu Liu, Yanyan Jiang:
Evolving Beyond Pressure: RL-Enhanced Camera Launch for Resource-Critical Scenarios. 7-12 - Evangelos Lamprou, Christian Gram Kalhauge, Martin C. Rinard, Nikos Vasilakis:
Guarding LLM-aided Software Transformation Tasks via Component Exoskeletons. 13-18 - Seungkwan Kang, Miryeong Kwon, Seungjun Lee, Huiwon Choi, Myoungsoo Jung:
Bridging Natural Resilience and Cost-Effectiveness in SSDs for Containerized ML Applications. 19-24 - Yicheng Feng, Xin Tan, Kin Hang Sew, Yimin Jiang, Yibo Zhu, Hong Xu:
Frontier: Simulating the Next Generation of LLM Inference Systems. 25-30 - Aditya Atul Tewari, Sujay Yadalam, Arthur Michener Peters, Saurabh Agarwal, Aditya Akella, Michael M. Swift, Christopher J. Rossbach:
OQueue: Observable Communication in Learning Directed Operating Systems. 31-36 - Georgios Liargkovas, Prabhpreet Singh Sodhi, Kostis Kaffes:
Set It and Forget It: Zero-Mod ML Magic for Linux Tuning. 37-43 - Navidreza Asadi, Dalal Ali, Razvan-Mihai Ursu, Wolfgang Kellerer:
Challenges in Designing Robust RL-Based Autoscalers. 44-49 - Grigoris Ntousakis, Julian James Stephen, Michael V. Le, Sai Sree Laya Chukkapalli, Teryl Taylor, Ian M. Molloy, Frederico Araujo:
Securing MCP-based Agent Workflows. 50-55 - Maximilian Jakob Heer, Benjamin Ramhorst, Gustavo Alonso:
Easing the path to deployment in ML4Sys through FPGAs. 56-62 - Dan Williams, Milo Craun, Michael V. Le, Julian James Stephen, Salman Ahmed, Hani Jamjoom:
Towards Safe Agentic AI Performance Engineering. 63-68 - David J. Goetze, Dahlia J. Felten, Jeannie R. Albrecht, Rohit Bhattacharya:
FLOSS: Federated Learning with Opt-Out and Straggler Support. 69-74 - Yifan Zhang, Jianchang Su, Zixu Shen, Yang Zhou, Wei Zhang:
Toward Interference-Aware Scheduling for Serverless Functions via eBPF and Meta-Learning. 75-80 - Vaastav Anand, Yichen Li, Alok Gautam Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Henrique B. Las-Casas, Ricardo Bianchini, Rodrigo Fonseca:
Intent-based System Design and Operation. 81-86 - Rohail Asim, Ankit Bhardwaj, Arjuna Sathiaseelan, Yasir Zaki, Lakshmi Subramanian:
Modeling Economic Viability for Scalable AI Deployment in Emerging Regions. 87-92 - Yingying Liu, Junzhe Li, Junzhou Fang, Chenxiong Qian:
Merlin: Improving Page Prefetching via Online Reinforcement Learning. 93-98 - Zesen Liu, Zicheng Wang, Yinggang Guo, Lizhi Sun, Ligeng Chen, Yixin Guo, Yaonan Gu, Jun Xiao, Tao Wang, Lu Liu, Yanyan Jiang:
Data Knows What the App Needs: An Intelligent Resource Watermark for Mobile Systems. 99-104 - Benjamin Hoffman, Alexander Dietmüller, Ayush Mishra, Laurent Vanbever:
Into the Wild: Real-World Testing for ML-Based ABR. 105-109 - Yusheng Zheng, Yanpeng Hu, Tong Yu, Andi Quinn:
AgentSight: System-Level Observability for AI Agents Using eBPF. 110-115
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