ThymesisFlow: A Software-Defined, HW/SW co-Designed Interconnect Stack for Rack-Scale Memory Disaggregation
Christian Pinto, Dimitris Syrivelis, Michele Gazzetti, Panos K. Koutsovasilis, Andrea Reale, Kostas Katrinis, H. Peter Hofstee
Abstract
With cloud providers constantly seeking the best infrastructure trade-off between performance delivered to customers and overall energy/utilization efficiency of their data-centres, hardware disaggregation comes in as a new paradigm for dynamically adapting the data-centre infrastructure to the characteristics of the running workloads. Such an adaptation enables an unprecedented level of efficiency both from the standpoint of energy and the utilization of system resources. In this paper, we present - ThymesisFlow - the first, to our knowledge, full-stack prototype of the holy-grail of disaggregation of compute resources: pooling of remote system memory. Thymesis-Flow implements a HW/SW co-designed memory disaggregation interconnect on top of the POWER9 architecture, by directly interfacing the memory bus via the OpenCAPI port. We use ThymesisFlow to evaluate how disaggregated memory impacts a set of cloud workloads, and we show that for many of them the performance degradation is negligible. For those cases that are severely impacted, we offer insights on the underlying causes and viable cross-stack mitigation paths.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b3584f8c-a37b-4c0d-aef5-58bdd7734eb0Cited by top-tier papers12
- Pond: CXL-Based Memory Pooling Systems for Cloud PlatformsHuaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst et al.ASPLOS 2023 · 328 citations
- Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated MemoryQing Wang, Youyou Lu, Jiwu ShuSIGMOD 2022 · 99 citations
- Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICsNikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang et al.ASPLOS 2021 · 54 citations
- Systematic CXL Memory Characterization and Performance Analysis at ScaleJinshu Liu, Hamid Hadian, Yuyue Wang, Daniel S. Berger et al.ASPLOS 2025 · 47 citations
- DEX: Scalable Range Indexing on Disaggregated MemoryBaotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang et al.VLDB 2024 · 17 citations
Builds on1
Related papers
- Adrias: Interference-Aware Memory Orchestration for Disaggregated Cloud InfrastructuresDimosthenis Masouros, Christian Pinto, Michele Gazzetti, Sotirios Xydis et al.HPCA 2023 · 6 citations
- Cowbird: Freeing CPUs to Compute by Offloading the Disaggregation of MemoryXinyi Chen, Liangcheng Yu, Vincent Liu, Qizhen ZhangSIGCOMM 2023 · 15 citations
- Deft: A Scalable Tree Index for Disaggregated MemoryJing Wang, Qing Wang, Yuhao Zhang, Jiwu ShuEuroSys 2025 · 7 citations
- Clio: a hardware-software co-designed disaggregated memory systemZhiyuan Guo, Yizhou Shan, Xuhao Luo, Yutong Huang et al.ASPLOS 2022 · 110 citations
- PD3: Prefetching Data with DPUs for Disaggregated MemorySidharth Sankhe, Felix Zhang, Umayrah Chonee, Sherman Lim et al.NSDI 2026 · 1 citation
