EDM: An Ultra-Low Latency Ethernet Fabric for Memory Disaggregation
Weigao Su, Vishal Shrivastav
摘要
Achieving low remote memory access latency remains the primary challenge in realizing memory disaggregation over Ethernet within the datacenters. We present EDM that attempts to overcome this challenge using two key ideas. First, while existing network protocols for remote memory access over the Ethernet, such as TCP/IP and RDMA, are implemented on top of the Ethernet MAC layer, EDM takes a radical approach by implementing the entire network protocol stack for remote memory access within the Physical layer (PHY) of the Ethernet. This overcomes fundamental latency and bandwidth overheads imposed by the MAC layer, especially for small memory messages. Second, EDM implements a centralized, fast, in-network scheduler for memory traffic within the PHY of the Ethernet switch. Inspired by the classic Parallel Iterative Matching (PIM) algorithm, the scheduler dynamically reserves bandwidth between compute and memory nodes by creating virtual circuits in the PHY, thus eliminating queuing delay and layer 2 packet processing delay at the switch for memory traffic, while maintaining high bandwidth utilization. Our FPGA testbed demonstrates that EDM's network fabric incurs a latency of only 300 ns for remote memory access in an unloaded network, which is an order of magnitude lower than state-of-the-art Ethernet-based solutions such as RoCEv2 and comparable to emerging PCIe-based solutions such as CXL. Larger-scale network simulations indicate that even at high network loads, EDM's average latency remains within 1.3x its unloaded latency.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Efficient and Flexible Datapaths for Fine-Grained Rack-Scale Interconnects with Elastic QPChenxingyu Zhao, Yibo Wu, Hongtao Zhang, Jaehong Min 等SIGCOMM 2026 · 被引用 1 次
- RoCE BALBOA: Service-Enhanced RDMA Offload Engine for Data Center SmartNICsMaximilian Jakob Heer, Benjamin Ramhorst, Yu Zhu, Luhao Liu 等OSDI 2026
它引用的顶会 Paper12
- AIFM: High-Performance, Application-Integrated Far MemoryZhenyuan Ruan, Malte Schwarzkopf, Marcos K. Aguilera, Adam BelayOSDI 2020 · 被引用 224 次
- Sirius: A Flat Datacenter Network with Nanosecond Optical SwitchingHitesh Ballani, Paolo Costa, Raphael Behrendt, Daniel Cletheroe 等SIGCOMM 2020 · 被引用 204 次
- Expanding across time to deliver bandwidth efficiency and low latencyWilliam M. Mellette, Rajdeep Das, Yibo Guo, Rob McGuinness 等NSDI 2020 · 被引用 194 次
- Can far memory improve job throughput?Emmanuel Amaro, Christopher Branner-Augmon, Zhihong Luo, Amy Ousterhout 等EuroSys 2020 · 被引用 163 次
- The nanoPU: A Nanosecond Network Stack for DatacentersStephen Ibanez, Alex Mallery, Serhat Arslan, Theo Jepsen 等OSDI 2021 · 被引用 74 次
相关 Paper
- MIND: In-Network Memory Management for Disaggregated Data CentersSeung-Seob Lee, Yanpeng Yu, Yupeng Tang, Anurag Khandelwal 等SOSP 2021 · 被引用 51 次
- FineMem: Breaking the Allocation Overhead vs. Memory Waste Dilemma in Fine-Grained Disaggregated Memory ManagementXiaoyang Wang, Yongkun Li, Kan Wu, Wenzhe Zhu 等OSDI 2025 · 被引用 3 次
- Fast Distributed Transactions for RDMA-based Disaggregated MemoryHaodi Lu, Haikun Liu, Yujian Zhang, Zhuohui Duan 等USENIX ATC 2025 · 被引用 9 次
- Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of MemoryXinyi Chen, Liangcheng Yu, Vincent Liu, Qizhen ZhangSIGCOMM 2023 · 被引用 15 次
- PD3: Prefetching Data with DPUs for Disaggregated MemorySidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim 等NSDI 2026 · 被引用 1 次
