A Programming Model for Disaggregated Memory over CXL
Gal Assa, Moritz Lumme, Lucas Bürgi, Michal Friedman, Ori Lahav
摘要
CXL (Compute Express Link) is an emerging open industrystandard interconnect between processing and memory devices that is expected to revolutionize the way systems are designed. It enables cache-coherent, shared memory pools in a disaggregated fashion at unprecedented scales, allowing algorithms to interact with various storage devices using simple loads and stores. While CXL unleashes unique opportunities, it also introduces challenges of data management and crash consistency. For example, CXL currently lacks an adequate programming model, making it impossible to reason about the correctness and behavior of systems on top.
In this work, we present CXL0, the first programming model for concurrent programs over CXL. We propose a high-level abstraction for memory accesses and formally define operational semantics. We demonstrate that CXL0 captures a wide range of current and future CXL setups and perform initial measurements on real hardware. To illustrate the usefulness of CXL0, we present a general transformation that enhances any linearizable concurrent algorithm with durability in a distributed partial-crash setting. We believe that this work will serve as a stepping stone for systems design and programming on top of CXL.
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引用它的顶会 Paper3
- Formalising CXL Cache CoherenceChengsong Tan, Alastair F. Donaldson, John WickersonASPLOS 2025 · 被引用 12 次
- Cxlalloc: Safe and Efficient Memory Allocation for a CXL PodNewton Ni, Yan Sun, Zhiting Zhu, Emmett WitchelASPLOS 2026 · 被引用 2 次
- Towards Designing Future-Proof Data Processing SystemsMichael Jungmair, Jana GicevaVLDB 2025 · 被引用 1 次
它引用的顶会 Paper27
- An Empirical Guide to the Behavior and Use of Scalable Persistent MemoryJian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz 等FAST 2020 · 被引用 470 次
- 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
- TPP: Transparent Page Placement for CXL-Enabled Tiered-MemoryHasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner 等ASPLOS 2023 · 被引用 255 次
- Rethinking software runtimes for disaggregated memoryIrina Calciu, M. Talha Imran, Ivan Puddu, Sanidhya Kashyap 等ASPLOS 2021 · 被引用 116 次
- 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
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