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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…

分布式、并行与集群计算 · 计算机科学 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

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…

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…

分布式、并行与集群计算 · 计算机科学 2026-01-27 Gal Assa , Moritz Lumme , Lucas Bürgi , Michal Friedman , Ori Lahav

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…

数据库 · 计算机科学 2024-09-04 Alberto Lerner , Gustavo Alonso

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…

新兴技术 · 计算机科学 2024-04-05 Sunita Jain , Nagaradhesh Yeleswarapu , Hasan Al Maruf , Rita Gupta

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…

分布式、并行与集群计算 · 计算机科学 2025-02-21 Chen Chen , Xinkui Zhao , Guanjie Cheng , Yuesheng Xu , Shuiguang Deng , Jianwei Yin

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…

分布式、并行与集群计算 · 计算机科学 2025-10-31 Yong-Cheng Liaw , Shuo-Han Chen

High-Performance Computing (HPC) and Artificial Intelligence (AI) workloads typically demand substantial memory bandwidth and, to a degree, memory capacity. CXL memory expansion modules, also known as CXL "type-3" devices, enable…

操作系统 · 计算机科学 2024-12-18 Rohit Sehgal , Vishal Tanna , Vinicius Petrucci , Anil Godbole

While Compute Express Link (CXL) enables support for cache-coherent shared memory among multiple nodes, it also introduces new types of failures--processes can fail before data does, or data might fail before a process does. The lack of a…

分布式、并行与集群计算 · 计算机科学 2024-07-18 Yi Xu , Suyash Mahar , Ziheng Liu , Mingyao Shen , Steven Swanson

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…

硬件体系结构 · 计算机科学 2023-09-11 Yiwei Yang

CXLMemSim is a fast, lightweight simulation framework that enables performance characterization of memory systems based on Compute Express Link (CXL) .mem technology. CXL.mem allows disaggregation and pooling of memory to mitigate memory…

性能 · 计算机科学 2025-06-18 Yiwei Yang , Brian Zhao , Yusheng Zheng , Pooneh Safayenikoo , Tanvir Ahmed Khan , Andi Quinn

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…

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…

硬件体系结构 · 计算机科学 2024-05-09 Debendra Das Sharma , Robert Blankenship , Daniel S. Berger

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,…

硬件体系结构 · 计算机科学 2023-05-10 Albert Cho , Anish Saxena , Moinuddin Qureshi , Alexandros Daglis

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…

性能 · 计算机科学 2025-10-14 Xi Wang , Jie Liu , Jianbo Wu , Shuangyan Yang , Jie Ren , Bhanu Shankar , Dong Li

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…

硬件体系结构 · 计算机科学 2026-04-01 Karan Pathak , David Atienza , Marina Zapater

Compute Express Link (CXL) emerges as a solution for wide gap between computational speed and data communication rates among host and multiple devices. It fosters a unified and coherent memory space between host and CXL storage devices such…

The Compute Express Link (CXL) technology facilitates the extension of CPU memory through byte-addressable SerDes links and cascaded switches, creating complex heterogeneous memory systems where CPU access to various endpoints differs in…

硬件体系结构 · 计算机科学 2025-11-06 Yiqi Chen , Xiping Dong , Zhe Zhou , Zhao Wang , Jie Zhang , Guangyu Sun

Transaction processing systems are the crux for modern data-center applications, yet current multi-node systems are slow due to network overheads. This paper advocates for Compute Express Link (CXL) as a network alternative, which enables…

硬件体系结构 · 计算机科学 2025-07-24 Zhao Wang , Yiqi Chen , Cong Li , Dimin Niu , Tianchan Guan , Zhaoyang Du , Xingda Wei , Guangyu Sun

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…

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