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 2026) 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:
- OS & Memory Hierarchy Redesign: Traditional OS abstractions, such as virtual memory and caching, are challenged by heterogeneous memory technologies and disaggregated architectures.
- Distributed Memory & Networking: Memory-centric networking technologies, such as RDMA and CXL.mem, blur the line between local and remote memory, necessitating new consistency models and failure handling mechanisms.
- Applications & Workloads: Big-memory applications, such as machine learning, graph processing, and in-memory databases, reveal performance bottlenecks in current OS and architecture designs.
BigMem 2026 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 2026 will be co-located with SOSP 2026 and registrations will be handled by SOSP 2026.
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-system design (hardware/software co-optimization)
- Disaggregated memory architectures (e.g., CXL, NVMe-over-Fabrics)
- Operating systems for hybrid/heterogeneous memory (NVM, DRAM, HBM)
- Design and operation of large-scale memory systems
Memory Technologies & Reliability
- Emerging memory technologies (3D XPoint, STT-MRAM, FeRAM, optical memory)
- Memory failure modes, reliability, and fault mitigation
- Energy-efficient memory subsystems
Security & Safety
- Memory security (side-channel attacks, encryption, secure allocators)
- Memory safety for critical systems
Programming & Performance
- Memory-centric programming models and languages
- In-memory and near-memory computing architectures
- Algorithmic memory optimizations (caching, prefetching, compression)
- Non-volatile memory programming paradigms
Applications & Storage
- In-memory databases, NoSQL stores, and analytics
- Memory-driven AI/ML workloads
- Embedded and autonomous systems
Emerging Directions
- Memory disaggregation for cloud/edge environments
- Bio-inspired memory architectures
By bridging architecture, systems, and applications, BigMem 2026 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://bigmem26.hotcrp.com
Important Dates
- Submissions due: May 30, 2026 (AOE)
- Notification of acceptance: June 30, 2026
- Workshop presentation: September 29, 2026
Program Co-Chairs:
Yu Hua, Huazhong University of Science and Technology
Xue Liu, McGill University
Web/Submission Chair:
Yujie Hu, Huazhong University of Science and Technology
Program Committee Member:
Ashvin Goel, University of Toronto
Bingzhe Li, The University of Texas at Dallas
Daniel S. Berger, Microsoft Azure and University of Washington
Hui Lu, The University of Texas at Arlington
Jiacheng Shen, Duke Kunshan University
Juncheng Yang, Harvard University
Luo Mai, University of Edinburgh
Mai Zheng, Iowa State University
Michael Swift, University of Wisconsin—Madison
Mingxing Zhang, Tsinghua University
Oana Balmau, McGill University
Sanidhya Kashyap, EPFL
Vijay Chidambaram, The University of Texas at Austin
Yao Fu, NVIDIA Research
Youhui Bai, University of Science and Technology of China
Yuxin Ren, Huawei
Zhichao Cao, Arizona State University