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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

Compute Express Link (CXL) switch allows memory extension via PCIe physical layer to address increasing demand for larger memory capacities in data centers. However, CXL attached memory introduces 170ns to 400ns memory latency. This becomes…

Hardware Architecture · Computer Science 2025-03-14 Khan Shaikhul Hadi , Naveed Ul Mustafa , Mark Heinrich , Yan Solihin

Integrating compute express link (CXL) with SSDs allows scalable access to large memory but has slower speeds than DRAMs. We present ExPAND, an expander-driven CXL prefetcher that offloads last-level cache (LLC) prefetching from host CPU to…

SSDs are emerging storage devices which unlike HDDs, do not have mechanical parts and therefore, have superior performance compared to HDDs. Due to the high cost of SSDs, entirely replacing HDDs with SSDs is not economically justified.…

Performance · Computer Science 2018-12-12 Reza Salkhordeh , Mostafa Hadizadeh , Hossein Asadi

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 advent of Compute Express Link (CXL) enables SSDs to participate in the memory hierarchy as large-capacity, byte-addressable memory devices. These CXL-enabled SSDs (CXL-SSDs) offer a promising new tier between DRAM and traditional…

Hardware Architecture · Computer Science 2025-08-18 Hyunsun Chung , Junhyeok Park , Taewan Noh , Seonghoon Ahn , Kihwan Kim , Ming Zhao , Youngjae Kim

We live in a data-centric world where we are heading to generate close to 200 Zettabytes of data by the year 2025. Our data processing requirements have also increased as we push to build data processing frameworks that can process large…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-21 Corne Lukken , Animesh Trivedi

Recent Serverless workloads tend to be largescaled/CPU-memory intensive, such as DL, graph applications, that require dynamic memory-to-compute resources provisioning. Meanwhile, recent solutions seek to design page management strategies…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-26 Yuze Li , Shunyu Yao

Compute eXpress Link (CXL) is a promising technology for memory disaggregation and expansion. Especially, CXL makes it more effectively for large-capacity storage devices such as Solid State Drive (SSD) to be deployed in the memory pool.…

Hardware Architecture · Computer Science 2025-01-07 Yaohui Wang , Zicong Wang , Fanfeng Meng , Yanjing Wang , Yang Ou , Lizhou Wu , Wentao Hong , Xuran Ge , Jijun Cao

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

Storing digital information, ensuring the accuracy, steady and uninterrupted access to the data are considered as fundamental challenges in enterprise-class organizations and companies. In recent years, new types of storage systems such as…

Other Computer Science · Computer Science 2014-05-12 Arash Batni , Farshad Safaei

The idea of computational storage device (CSD) has come a long way since at least 1990s [1], [2]. By embedding computing resources within storage devices, CSDs could potentially offload computational tasks from CPUs and enable near-data…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Chao Shi , Anthony Manschula , Tabassum Mahmud , Zeren Yang , Mai Zheng , Yong Chen , Jim Wayda , Matthew Wolf , Byungwoo Bang

As continuous learning based video analytics continue to evolve, the role of efficient edge servers in efficiently managing vast and dynamic datasets is becoming increasingly crucial. Unlike their compute architecture, storage and archival…

Hardware Architecture · Computer Science 2024-10-10 Cyan Subhra Mishra , Deeksha Chaudhary , Jack Sampson , Mahmut Taylan Knademir , Chita Das

The Big Data trend is putting strain on modern storage systems, which have to support high-performance I/O accesses for the large quantities of data. With the prevalent Von Neumann computing architecture, this data is constantly moved back…

Hardware Architecture · Computer Science 2021-12-02 Corne Lukken , Giulia Frascaria , Animesh Trivedi

CXL-based Computational Memory (CCM) enables near-memory processing within expanded remote memory, presenting opportunities to address data movement costs associated with disaggregated memory systems and to accelerate overall performance.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-05 Suyeon Lee , Kangkyu Park , Kwangsik Shin , Ada Gavrilovska

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

Over the years, hardware trends have introduced various heterogeneous compute units while also bringing network and storage bandwidths within an order of magnitude of memory subsystems. In response, developers have used increasingly exotic…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-20 Aldrin Montana , Yuanqing Xue , Jeff LeFevre , Carlos Maltzahn , Josh Stuart , Philip Kufeldt , Peter Alvaro

Enterprise SSDs integrate numerous computing resources (e.g., ARM processor and onboard DRAM) to satisfy the ever-increasing performance requirements of I/O bursts. While these resources substantially elevate the monetary costs of SSDs, the…

Operating Systems · Computer Science 2025-09-15 Shushu Yi , Yuda An , Li Peng , Xiurui Pan , Qiao Li , Jieming Yin , Guangyan Zhang , Wenfei Wu , Diyu Zhou , Zhenlin Wang , Xiaolin Wang , Yingwei Luo , Ke Zhou , Jie Zhang

In our exploration of Composable Memory systems utilizing CXL, we focus on overcoming adoption barriers at Hyperscale, underscored by economic models demonstrating Total Cost of Ownership (TCO). While CXL addresses the pressing memory…

Emerging Technologies · Computer Science 2024-04-05 Angelos Arelakis , Nilesh Shah , Yiannis Nikolakopoulos , Dimitrios Palyvos-Giannas
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