Full Program
Day 1, Thursday, July 10, 2025 (Full Day)
08:00 – 09:00 EDT | Breakfast |
08:30 – 09:00 EDT | Registration |
09:00 – 09:15 EDT | Opening Remarks |
09:15 – 10:15 EDT | Keynote Address by Xiaosong Ma |
10:15 – 10:30 EDT | Coffee Break |
10:30 – 11:45 EDT | Session 1: Cloud and Disaggregated Storage I |
11:45 – 13:20 EDT | Lunch |
13:20 – 15:00 EDT | Session 2: Memory Centric Storage |
15:00 – 15:15 EDT | Coffee Break |
15:15 – 16:05 EDT | Session 3: High-Performance Storage I/O |
16:05 – 16:20 EDT | Coffee Break |
16:20 – 17:35 EDT | Session 4: Caching and Deduplication |
17:35 --20:30 EDT | Dinner |
Day 2, Friday, July 11, 2025 (Half Day)
08:00 – 09:00 EDT | Breakfast |
09:00 – 09:50 EDT | Session 5: Cloud and Disaggregated Storage II |
09:50 – 10:00 EDT | Coffee Break |
10:00 – 11:15 EDT | Session 6: Storage and Machine Learning |
11:15 – 11:30 EDT | Coffee Break |
11:30 – 12:20 EDT | Session 7: System Overheads and Security |
12:20 – 12:30 EDT | Concluding Remarks |
12:30 EDT | Lunch (box lunch) |
Keynote Talks
I/O Coordination for Better Resource Sharing -- From HPC to AI Storage
Xiaosong Ma (Mohamed bin Zayed University of Artificial Intelligence)
[
Abstract],
[
Speaker Bio],
[Slides]
Abstract:
Despite tremendous improvement in absolute capacity and speed, the storage subsystem remains one of the slower, less predictable, and less scalable components of large-scale applications. In this talk, through a personal journey of parallel and distributed storage systems, I hope to share observations and lessons from these past projects. In particular, across the many layers of the storage hierarchy studied, from the CPU caches to supercomputer and cloud storage clusters, we repeatedly encounter the same underlying challenge of efficient sharing of I/O resources. Without effective regulation of I/O flows, the storage system can easily be a performance bottleneck while remaining largely underutilized. The discussion of solutions continues into related new (and old) storage problems with today's parallel AI training and inference workloads.
Bio:
Professor Ma’s main research focus has been on efficient resource utilization across different system layers, from CPU/GPU caches to datacenter-scale distributed storage. Her research projects share the common theme of reducing or eliminating waste in systems software, to better support applications including graph, database, and LLM processing.
Sessions
Session 1: Cloud and Disaggregated Storage I
SnapBPF: Exploiting eBPF for Serverless Snapshot Prefetching
[Paper] [Slides]
Stratos Psomadakis, Dimitrios Siakavaras (National Technical University of Athens); Chloe Alverti (University of Illinois Urbana-Champaign); Symeon Porgiotis, Orestis Lagkas Nikolos, Christos Katsakioris, Konstantinos Nikas, Georgios Goumas, Nectarios Koziris (National Technical University of Athens)
Can a Client–Server Cache Tango Accelerate Disaggregated Storage?
[Paper] [Slides]
Linjie Ma (Rutgers university); Jian Zhang (Rutgers University); Marie Nguyen (Samsung); Sudarsun Kannan (Rutgers University)
Why Paying for Storage Beats Free Networking in Cloud Bursting
[Paper] [Slides]
Itamar Gefen, Aviad Zuck, Daniel Bransky (Technion – Israel Institute of Technology); Moshik Hershcovitch (Tel Aviv University & IBM Research); Danny Harnik (IBM Research); Dan Tsafrir (Technion – Israel Institute of Technology)
Session 2: Memory Centric Storage
Efficient Vector Search on Disaggregated Memory with d-HNSW
[Paper] [Slides]
Yi Liu, Fei Fang, Chen Qian (University of California Santa Cruz)
Revisiting Trim for CXL Memory
[Paper] [Slides]
Hayan Lee (Soongsil University); Jungwoo Kim (DGIST); Wookyung Lee (Soongsil University); Juhyung Park (DGIST); Sanghyuk Jung, Jinki Han (Eeum); Bryan S. Kim (Syracuse University); Sungjin Lee (POSTECH); Eunji Lee (Soongsil University)
Revisiting Memory Hierarchies with CMM-H: Using Device-side Caching to Integrate DRAM and SSD for a Hybrid CXL Memory
[Paper] [Slides]
Mohammadreza Soltaniyeh; Gongjin Sun; Xuebin Yao; Amir Beygi; Ramdas Kachare; Dongwan Zhao; Hingkwan Huen; Andrew Chang; Senthil Murugesapandian; Caroline Kahn (Samsung Semiconductor)
Towards Rack-as-a-Computer in Memory Interconnect Era with Coordinated Operating System Sharing
[Paper] [Slides]
Yuxin Ren, Mingrui Liu, Hongbo Li, Chang Liao, Xiaojia Huang, Jianhua Zhang, Hanjun Guo, Yubo Liu, Ning Jia (Huawei Technologies)
Session 3: High-Performance Storage I/O
SPDK+: Low Latency or High Power Efficiency? We Take Both
[Paper] [Slides]
Endian Li, Shushu Yi, Li Peng (Peking University); Qiao Li (Xiamen University); Diyu Zhou (Peking University); Zhenlin Wang (Michigan Tech); Xiaolin Wang (Peking University); Bo Mao (Xiamen University); Yingwei Luo (Peking University); Ke Zhou (Huazhong University of Science and Technology (HUST)); Jie Zhang (Peking University)
ByteExpress: A High-Performance and Traffic-Efficient Inline Transfer of Small Payloads over NVMe
[Paper] [Slides]
Junhyeok Park (Sogang University); Junghee Lee (Korea University); Youngjae Kim (Sogang University)
Session 4: Caching and Deduplication
CableCache: In-Network Request Deduplication for Key-Value Stores
[Paper] [Slides]
Jiawei Huang, Junru Li, Qing Wang, Lijie Wen, Youyou Lu (Tsinghua University); Erci Xu (SJTU)
PaperCache: In-Memory Caching with Dynamic Eviction Policies
[Paper] [Slides]
Kia Shakiba, Michael Stumm (University of Toronto)
Unlocking the Unusable: A Proactive Caching Framework for Reusing Partial Overlapped Data
[Paper] [Slides]
Chang Guo (Arizona State University); Norbert Podhorszki (Oak Ridge National Laboratory); Greg Eisenhauer (Georgia Institute of Technology); Zhiwen Xie (Arizona State University); Scott Klasky (Oak Ridge National Laboratory); Zhichao Cao (Arizona State University)
Session 5: Cloud and Disaggregated Storage II
Are Edge MicroDCs Equipped to Tackle Memory Contention?
[Paper] [Slides]
Long Tran (Rutgers University); River Bartz, Ram Durairajan (University of Oregon); Ulrich Kremer, Sudarsun Kannan (Rutgers university)
Emerald Tiers: Focusing on SSD+MAID Through a Green Lens
[Paper] [Slides]
Zhaokang Ke, Jim Diehl (University of Minnesota); Ya-Shu Chen (National Taiwan University of Science and Technology); David H.C. Du (University of Minnesota)
Session 6: Storage and Machine Learning
RingSampler: GNN Sampling on Large-Scale Graphs with io_uring
[Paper] [Slides]
Qixuan Chen, Yuhang Song, Melissa Martinez, Vasiliki Kalavri (Boston University)
Quantum Neural Networks Need Checkpointing
[Paper] [Slides]
Christopher Kverne, Mayur Akewar (Florida International University); Yuqian Huo, Tirthak Patel (Rice University); Janki Bhimani (Florida International University)
Can LLMs Model the Environmental Impact on SSD?
[Paper] [Slides]
Mayur Akewar, Gang Quan (Florida International University); Sandeep Madireddy (Argonne National Laboratory); Janki Bhimani (Florida International University)
Session 7: System Overheads and Security
Side-Channel Information Leakage with CPU Frequency Scaling (but without CPU Frequency)
[Paper] [Slides]
Li Zhu, Chundong Wang (ShanghaiTech University)
Bridging a Shortcut to Exempt the Software Tax Charged on Logging I/Os
[Paper] [Slides]
Yanpeng Hu, Yunxin Yang, Li Zhu, Chundong Wang (ShanghaiTech University)