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Memory disaggregation addresses memory imbalance in a cluster by decoupling CPU and memory allocations of applications while also increasing the effective memory capacity for (memory-intensive) applications beyond the local memory limit…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-07 Anil Yelam

Memory resources in data centers generally suffer from low utilization and lack of dynamics. Memory disaggregation solves these problems by decoupling CPU and memory, which currently includes approaches based on RDMA or interconnection…

Hardware Architecture · Computer Science 2023-02-23 Chenjiu Wang , Ke He , Ruiqi Fan , Xiaonan Wang , Yang Kong , Wei Wang , Qinfen Hao

The growing scale of data requires efficient memory subsystems with large memory capacity and high memory performance. Disaggregated architecture has become a promising solution for today's cloud and edge computing for its scalability and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-28 Jing Wang , Chao Li , Taolei Wang , Jinyang Guo , Hanzhang Yang , Yiming Zhuansun , Minyi Guo

Memory disaggregation provides efficient memory utilization across network-connected systems. It allows a node to use part of memory in remote nodes in the same cluster. Recent studies have improved RDMA-based memory disaggregation systems,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-07 Taekyung Heo , Seunghyo Kang , Sanghyeon Lee , Soojin Hwang , Jaehyuk Huh

Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleet-wide resource underutilization and increasing Total Cost of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-09 Hasan Al Maruf , Mosharaf Chowdhury

Large-scale AI training and inference require hundreds of gigabytes to terabytes of DRAM with high peak to average utilization ratios, resulting in overprovisioning. In cloud computing, DRAM constitutes a significant share of the cost. Yet,…

Hardware Architecture · Computer Science 2026-05-28 Kaustav Goswami , Maryam Babaie , Hoa Nguyen , Venkatesh Akella , Jason Lowe-Power

Memory disaggregation is being considered as a strong alternative to traditional architecture to deal with the memory under-utilization in data centers. Disaggregated memory can adapt to dynamically changing memory requirements for the data…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-11 Amit Puri , John Jose , Tamarapalli Venkatesh

Cloud deployments disaggregate storage from compute, providing more flexibility to both the storage and compute layers. In this paper, we explore disaggregation by taking it one step further and applying it to memory (DRAM). Disaggregated…

Memory disaggregation is an emerging technology that decouples memory from traditional memory buses, enabling independent scaling of compute and memory. Compute Express Link (CXL), an open-standard interconnect technology, facilitates…

Hardware Architecture · Computer Science 2025-03-27 Yujie Yang , Lingfeng Xiang , Peiran Du , Zhen Lin , Weishu Deng , Ren Wang , Andrey Kudryavtsev , Louis Ko , Hui Lu , Jia Rao

Memory-compute disaggregation promises transparent elasticity, high utilization and balanced usage for resources in data centers by physically separating memory and compute into network-attached resource "blades". However, existing designs…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-22 Seung-seob Lee , Yanpeng Yu , Yupeng Tang , Anurag Khandelwal , Lin Zhong , Abhishek Bhattacharjee

Compute eXpress Link (CXL) has emerged as a key enabler of memory disaggregation for future heterogeneous computing systems to expand memory on-demand and improve resource utilization. However, CXL is still in its infancy stage and lacks…

Emerging Technologies · Computer Science 2026-01-13 Yanjing Wang , Lizhou Wu , Wentao Hong , Yang Ou , Zicong Wang , Sunfeng Gao , Jie Zhang , Sheng Ma , Dezun Dong , Xingyun Qi , Mingche Lai , Nong Xiao

Disaggregated memory is a promising approach that addresses the limitations of traditional memory architectures by enabling memory to be decoupled from compute nodes and shared across a data center. Cloud platforms have deployed such…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-21 Nan Ding , Pieter Maris , Hai Ah Nam , Taylor Groves , Muaaz Gul Awan , LeAnn Lindsey , Christopher Daley , Oguz Selvitopi , Leonid Oliker , Nicholas Wright , Samuel Williams

Traditional cluster designs were originally server-centric, and have evolved recently to support hardware acceleration and storage disaggregation. In applications that leverage acceleration, the server CPU performs the role of orchestrating…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-25 Seo Jin Park , Ramesh Govindan , Kai Shen , David Culler , Fatma Özcan , Geon-Woo Kim , Hank Levy

Deep learning-based personalized recommendation systems are widely used for online user-facing services in production datacenters, where a large amount of hardware resources are procured and managed to reliably provide low-latency services…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-05 Liu Ke , Xuan Zhang , Benjamin Lee , G. Edward Suh , Hsien-Hsin S. Lee

Pooling PCIe devices across multiple hosts offers a promising solution to mitigate stranded I/O resources, enhance device utilization, address device failures, and reduce total cost of ownership. The only viable option today are PCIe…

Nowadays, datacenters lean on a computer-centric approach based on monolithic servers which include all necessary hardware resources (mainly CPU, RAM, network and disks) to run applications. Such an architecture comes with two main…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-12 Brice Ekane , Yohan Pipereau , Boris Teabe , Alain Tchana , Gael Thomas , Noel de palma , Daniel Hagimont

The rapid adoption of AI and convenience offered by cloud services have resulted in the growing demands for GPUs in the cloud. Generally, GPUs are physically attached to host servers as PCIe devices. However, the fixed assembly combination…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-10 Bowen He , Xiao Zheng , Yuan Chen , Weinan Li , Yajin Zhou , Xin Long , Pengcheng Zhang , Xiaowei Lu , Linquan Jiang , Qiang Liu , Dennis Cai , Xiantao Zhang

CXL (Compute Express Link) is an emerging open industry-standard 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…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-27 Gal Assa , Moritz Lumme , Lucas Bürgi , Michal Friedman , Ori Lahav

The emergence of CXL (Compute Express Link) promises to transform the status of interconnects between host and devices and in turn impact the design of all software layers. With its low overhead, low latency, and memory coherency…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-15 Raja Gond , Purushottam Kulkarni

Memory disaggregation has recently been adopted in data centers to improve resource utilization, motivated by cost and sustainability. Recent studies on large-scale HPC facilities have also highlighted memory underutilization. A promising…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Jacob Wahlgren , Gabin Schieffer , Maya Gokhale , Ivy Peng
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