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Related papers: Pushing the Memory Bandwidth Wall with CXL-enabled…

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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

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…

Caches at CPU nodes in disaggregated memory architectures amortize the high data access latency over the network. However, such caches are fundamentally unable to improve performance for workloads requiring pointer traversals across linked…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-17 Yupeng Tang , Seung-seob Lee , Abhishek Bhattacharjee , Anurag Khandelwal

Next-generation wireless technologies (for immersive-massive communication, joint communication and sensing) demand highly parallel architectures for massive data processing. A common architectural template scales up by grouping tens to…

Hardware Architecture · Computer Science 2025-07-08 Samuel Riedel , Yichao Zhang , Marco Bertuletti , Luca Benini

The performance of discrete general purpose graphics processing units (GPGPUs) has been improving at a rapid pace. The PCIe interconnect that controls the communication of data between the system host memory and the GPU has not improved as…

Computational Physics · Physics 2019-05-15 Connor Kenyon , Glenn Volkema , Gaurav Khanna

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

With the rapid development of smart manufacturing, edge computing-oriented microservice platforms are emerging as an important part of production control. In the containerized deployment of microservices, layer sharing can reduce the huge…

Systems and Control · Electrical Eng. & Systems 2023-01-02 Yuxiang Liu , Bo Yang , Yu Wu , Cailian Chen , Xinping Guan

Hardware based memory pooling enabled by interconnect standards like CXL have been gaining popularity amongst cloud providers and system integrators. While pooling memory resources has cost benefits, it comes at a penalty of increased…

Hardware Architecture · Computer Science 2024-06-24 Chandrahas Tirumalasetty , Narasimha Annapreddy

This paper investigates hardware-based memory compression designs to increase the memory bandwidth. When lines are compressible, the hardware can store multiple lines in a single memory location, and retrieve all these lines in a single…

Hardware Architecture · Computer Science 2018-07-23 Vinson Young , Sanjay Kariyappa , Moinuddin K. Qureshi

Mobile-edge computing (MEC) is an emerging technology for enhancing the computational capabilities of mobile devices and reducing their energy consumption via offloading complex computation tasks to the nearby servers. Multiuser MEC at…

Information Theory · Computer Science 2018-11-20 Zezu Liang , Yuan Liu , Tat-Ming Lok , Kaibin Huang

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…

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…

The widening gap between processor speed and storage latency has made data movement a dominant bottleneck in modern systems. Two lines of storage-layer innovation attempted to close this gap: persistent memory shortened the latency…

Operating Systems · Computer Science 2026-04-06 Yiwei Yang , Yanpeng Hu , Yusheng Zheng , Estabon Ramos , Jianchang Su , Andi Quinn , Wei Zhang

GPUs are critical for compute-intensive applications, yet emerging workloads such as recommender systems, graph analytics, and data analytics often exceed GPU memory capacity. Existing solutions allow GPUs to use CPU DRAM or SSDs as…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-27 Zhuoping Yang , Jinming Zhuang , Xingzhen Chen , Alex K. Jones , Peipei Zhou

Heterogeneous multi-core systems such as big/little architectures have been introduced as an attractive server design option with the potential to improve performance under power constraints in data centres. Since both big high-performing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-23 Rajiv Nishtala , Vinicius Petrucci , Paul Carpenter , Xavier Martorell

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

Emerging computing applications such as Artificial Intelligence (AI) are facing a memory wall with existing on-package memory solutions that are unable to meet the power-efficient bandwidth demands. We propose to enhance UCIe with memory…

Hardware Architecture · Computer Science 2025-10-09 Debendra Das Sharma , Swadesh Choudhary , Peter Onufryk , Rob Pelt

The CXL-based solid-state drive (CXL-SSD) provides a promising approach towards scaling the main memory capacity at low cost. However, the CXL-SSD faces performance challenges due to the long flash access latency and unpredictable events…

Hardware Architecture · Computer Science 2025-01-22 Haoyang Zhang , Yuqi Xue , Yirui Eric Zhou , Shaobo Li , Jian Huang

The rise of LLMs has driven demand for private serverless deployments, characterized by moderate-sized models and infrequent requests. While existing serverless solutions follow exclusive GPU allocation, we take a step back to explore…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-16 Chuhao Xu , Zijun Li , Quan Chen , Han Zhao , Xueyan Tang , Minyi Guo

High level programming languages and GPU accelerators are powerful enablers for a wide range of applications. Achieving scalable vertical (within a compute node), horizontal (across compute nodes), and temporal (over different generations…