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The ever-growing demands for memory with larger capacity and higher bandwidth have driven recent innovations on memory expansion and disaggregation technologies based on Compute eXpress Link (CXL). Especially, CXL-based memory expansion…

Current HPC systems provide memory resources that are statically configured and tightly coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse workloads lead to a need for configurable memory resources to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-23 Jacob Wahlgren , Maya Gokhale , Ivy B. Peng

The memory system is a major performance determinant for server processors. Ever-growing core counts and datasets demand higher bandwidth and capacity as well as lower latency from the memory system. To keep up with growing demands,…

Hardware Architecture · Computer Science 2023-05-10 Albert Cho , Anish Saxena , Moinuddin Qureshi , Alexandros Daglis

CXL has been the emerging technology for expanding memory for both the host CPU and device accelerators with load/store interface. Extending memory coherency to the PCIe root complex makes the codesign more flexible in that you can access…

Hardware Architecture · Computer Science 2023-09-11 Yiwei Yang

Compute eXpress Link (CXL) is emerging as a promising memory interface technology. However, its performance characteristics remain largely unclear due to the limited availability of production hardware. Key questions include: What are the…

Performance · Computer Science 2025-10-14 Xi Wang , Jie Liu , Jianbo Wu , Shuangyan Yang , Jie Ren , Bhanu Shankar , Dong Li

The proliferation of data-intensive applications, ranging from large language models to key-value stores, increasingly stresses memory systems with mixed read-write access patterns. Traditional half-duplex architectures such as DDR5 are…

Operating Systems · Computer Science 2025-08-25 Yiwei Yang , Yusheng Zheng , Yiqi Chen , Zheng Liang , Kexin Chu , Zhe Zhou , Andi Quinn , Wei Zhang

In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable memory solutions remains paramount. The advent of Compute Express Link (CXL) introduces a promising avenue with its potential to function as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-22 Yehonatan Fridman , Suprasad Mutalik Desai , Navneet Singh , Thomas Willhalm , Gal Oren

Interconnection is crucial for computing systems. However, the current interconnection performance between processors and devices, such as memory devices and accelerators, significantly lags behind their computing performance, severely…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-21 Chen Chen , Xinkui Zhao , Guanjie Cheng , Yuesheng Xu , Shuiguang Deng , Jianwei Yin

The continual increase of cores on server-grade CPUs raises demands on memory systems, which are constrained by limited off-chip pin and data transfer rate scalability. As a result, high-end processors typically feature lower memory…

Hardware Architecture · Computer Science 2025-11-18 Divya Kiran Kadiyala , Alexandros Daglis

Compute Express Link (CXL) is a rapidly emerging coherent interconnect standard that provides opportunities for memory pooling and sharing. Memory sharing is a well-established software feature that improves memory utilization by avoiding…

Emerging Technologies · Computer Science 2024-04-05 Sunita Jain , Nagaradhesh Yeleswarapu , Hasan Al Maruf , Rita Gupta

The Compute Express Link (CXL) is an open industry-standard interconnect between processors and devices such as accelerators, memory buffers, smart network interfaces, persistent memory, and solid-state drives. CXL offers coherency and…

Hardware Architecture · Computer Science 2024-05-09 Debendra Das Sharma , Robert Blankenship , Daniel S. Berger

In this paper we explore the performance of Intel Xeon MAX CPU Series, representing the most significant new variation upon the classical CPU architecture since the Intel Xeon Phi Processor. Given the availability of a large on-package…

Performance · Computer Science 2023-09-19 Istvan Z Reguly

The substantial memory requirements of Large Language Models (LLMs), particularly for long-context fine-tuning, have renewed interest in CPU offloading to augment limited GPU memory. However, as context lengths grow, relying on CPU memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-31 Yong-Cheng Liaw , Shuo-Han Chen

Large language models (LLMs) training or inference across multiple nodes introduces significant pressure on GPU memory and interconnect bandwidth. The Compute Express Link (CXL) shared memory pool offers a scalable solution by enabling…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-08 Dong Xu , Han Meng , Xinyu Chen , Dengcheng Zhu , Wei Tang , Fei Liu , Liguang Xie , Wu Xiang , Rui Shi , Yue Li , Henry Hu , Hui Zhang , Jianping Jiang , Dong Li

This work introduces a GPU storage expansion solution utilizing CXL, featuring a novel GPU system design with multiple CXL root ports for integrating diverse storage media (DRAMs and/or SSDs). We developed and siliconized a custom CXL…

This paper explores how Compute Express Link (CXL) can transform PCIe-based block storage into a scalable, byte-addressable working memory. We address the challenges of adapting block storage to CXL's memory-centric model by emphasizing…

The growing prevalence of data-intensive workloads, such as artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), in-memory databases, and real-time analytics, has exposed limitations in conventional memory…

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

The trend toward specialized processing devices such as TPUs, DPUs, GPUs, and FPGAs has exposed the weaknesses of PCIe in interconnecting these devices and their hosts. Several attempts have been proposed to improve, augment, or downright…

Databases · Computer Science 2024-09-04 Alberto Lerner , Gustavo Alonso

The growing demands in the training and inference of Large Language Models (LLMs) are accelerating the adoption of scale-up systems that extend server shared memory through the use of Compute Express Link (CXL)-based load/store…

Hardware Architecture · Computer Science 2026-04-01 Karan Pathak , David Atienza , Marina Zapater
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