The International Workshop on Big Memory (BigMem) 2025
Co-located with the 31st ACM Symposium on Operating Systems Principles (SOSP 2025)
Seoul, Republic of Korea, October 13, 2025
Technical Program
14:00-14:30 Opening Remarks and Talks
Introduction to Big Memory: Challenges and Opportunities
14:30-15:45 BigMem Infrastructure
AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
Authors: Shaoting Feng (University of Chicago); Hanchen Li, Kuntai Du (UChicago / TensorMesh, Inc.); Zhuohan Gu, Yuhan Liu, Jiayi Yao, Siddhant Ray (University of Chicago); Samuel Shen, Yihua Cheng (UChicago / TensorMesh, Inc.); Ganesh Ananthanarayanan (Microsoft); Junchen Jiang (University of Chicago)

Accelerating Buffered Write through Pipelined Execution
Authors: Luofan Chen, Jiyang Wang (University of Science and Technology of China); Sam H. Noh (Virginia Tech); Cheng Li (The University of Science and Technology of China)

Efficient and Scalable CN-side Caching on Disaggregated Memory
Authors: Hanze Zhang, Rong Chen (Shanghai Jiao Tong University)
15:45-16:15 Coffee and Tea Break
16:15-17:35 BigMem Features
The Future of Memory: Limits and Opportunities
Authors: Samuel Dayo, Shuhan Liu, Peijing Li, Philip Levis, Subhasish Mitra (Stanford University); David Tennenhouse (Independent Researcher); H. -S Philip Wong (Stanford University)

Mitigating Heat-induced Performance Cliffs of SSDs via OS-level Thermal-aware I/O Throttling
Authors: Seungkwan Kang (KAIST); Eunjee Na (Panmnesia, Inc.); Seungjun Lee, Myoungsoo Jung (KAIST)

Bringing RDMA Chains to Key-Value Store Based on LSM-Tree
Authors: Zhipeng Su, Zhihao Zhang (Xiamen University); Yiming Zhang (Shanghai Jiao Tong University)

Transparent GPU Memory Management for Efficient Workload Switching
Authors: Mingxuan Yang, Qingwen Li, Hongwei Tang, Xuehai Hong (Institute of Computing Technology, CAS; University of Chinese Academy of Sciences)
Overview
Download Call for Papers PDF

The rapid evolution of memory-centric computing technologies—including Compute Express Link (CXL), persistent memory, and disaggregated architectures—is fundamentally reshaping system software design paradigms. The International Workshop on Big Memory (BigMem 2025) establishes a premier forum for researchers and practitioners to explore the challenges and opportunities in managing terabyte-to-petabyte scale memory hierarchies in modern computing systems.

Our focuses include:

BigMem 2025 aims to foster cross-disciplinary collaboration between operating system researchers, computer architects, and industry practitioners. By bringing together diverse perspectives, we seek to accelerate innovation in big memory systems and establish this workshop as the leading venue for memory-centric computing research.

BigMem 2025 will be co-located with SOSP 2025 and registrations will be handled by SOSP 2025.

Topics of Interest

This workshop will focus on important research directions, including operating system support for heterogeneous memory systems integrating DRAM, CXL and/or persistent memory, memory-centric networking technologies enabling efficient remote memory access, and innovative applications leveraging massive memory capacities. Moreover, we will examine emerging challenges in memory virtualization, coherence protocols, and fault tolerance for next-generation memory architectures.

The topics include, but are not limited to:

Memory Architecture & Systems Memory Technologies & Reliability Security & Safety Programming & Performance Applications & Storage Emerging Directions

By bridging architecture, systems, and applications, BigMem 2025 seeks to shape future research directions in operating systems.

Submission Guidelines

We invite original research contributions that have not been published previously or submitted concurrently to other venues, including any other conference or journal. Authors should prepare their work as a two-page extended abstract (references excluded) in English, formatted as a PDF document. The ACM submission template is recommended.

All submissions must be made through the workshop's online submission system and will undergo a double-blind review process by our program committee. Please ensure your submission is properly anonymized to maintain the integrity of the review. Submissions will be evaluated on their technical merit, novelty, relevance to the workshop themes, and clarity of presentation. This workshop focuses on discussion and feedback rather than archival publication, and therefore does not produce formal proceedings.

Submission site: https://bigmem25.hotcrp.com

Important Dates
Program Co-Chairs:
Yu Hua, Huazhong University of Science and Technology
Ming-Chang Yang, The Chinese University of Hong Kong
Web/Submission Chair:
Yuxuan Mo, Huazhong University of Science and Technology
Program Committee Member:
Zhichao Cao, Arizona State University
Yue Cheng, The University of Virginia
Vijay Chidambaram, The University of Texas at Austin
Mingkai Dong, Shanghai Jiao Tong University
Michio Honda, University of Edinburgh
Sanidhya Kashyap, EPFL
Bingzhe Li, The University of Texas at Dallas
Jing Liu, Microsoft Research
Sam H. Noh, Virginia Tech
Cheng Tan, Northeastern University
Hong Zhang, University of Waterloo