Octopus: Enhancing CXL Memory Pods via Sparse Topology
Yuhong Zhong, Fiodar Kazhamiaka, Pantea Zardoshti, Shuwei Teng, Rodrigo Fonseca, Mark D. Hill, Daniel S. Berger
摘要
The Compute Express Link (CXL) interconnect enables compute "pods" that pool memory across servers to reduce cost and improve efficiency. These pods also facilitate pairwise communication whose needs conflict with pooling. Importantly, existing pod designs are small or require indirection through expensive switches. These conventional designs implicitly assume that pods must fully connect all servers to all CXL pooling devices.
This paper breaks with this conventional wisdom by introducing Octopus pods. Octopus directly connects servers to low-port-count CXL pooling devices (e.g., 4 ports) yet scales to large pods without switches by constructing a sparse CXL topology in which each pooling device connects to a carefully chosen subset of servers. Octopus explicitly balances "overlap", where two servers connect to the same pooling device: overlap reduces pooling efficiency but enables low-latency communication. Octopus resolves this tension by grouping servers into "islands" with low-latency intra-island communication and interconnecting islands to favor pooling.
We build a three-server CXL pod prototype and simulate scaled pods with 96 servers under measured device characteristics and physical constraints (1.5 m copper cables). On hardware, Octopus RPCs are 3.2× faster than in-rack RDMA and 2.4× faster than CXL switches. In simulation, Octopus achieves net server cost savings of 3-5.4% whereas CXL switches result in a net cost increase.
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引用它的顶会 Paper3
- vCXLGen: Automated Synthesis and Verification of CXL Bridges for Heterogeneous ArchitecturesAnatole Lefort, Julian Pritzi, Nicolò Carpentieri, David Schall 等ASPLOS 2026 · 被引用 2 次
- Break On Through to the Other Side: Pooling Memory Elastically with RamRyderYanbo Zhou, Erci Xu, Dongjoo Seo, Adam Manzanares 等OSDI 2026
- Espresso: Constructing Cost-Efficient CXL JBOF via Inter-SSD Computing Resource SharingShushu Yi, Yuda An, Li Peng, Xiurui Pan 等OSDI 2026
它引用的顶会 Paper30
- Pond: CXL-Based Memory Pooling Systems for Cloud PlatformsHuaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst 等ASPLOS 2023 · 被引用 328 次
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- Managing Memory Tiers with CXL in Virtualized EnvironmentsYuhong Zhong, Daniel S. Berger, Carl A. Waldspurger, Ryan Wee 等OSDI 2024 · 被引用 77 次
- Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-ScalePadmapriya Duraisamy, Wei Xu, Scott Hare, Ravi Rajwar 等ASPLOS 2023 · 被引用 74 次
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