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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 rapid increase in LLM model sizes and the growing demand for long-context inference have made memory a critical bottleneck in GPU-accelerated serving systems. Although high-bandwidth memory (HBM) on GPUs offers fast access, its limited…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-01 Xinjun Yang , Qingda Hu , Junru Li , Feifei Li , Yicong Zhu , Yuqi Zhou , Qiuru Lin , Jian Dai , Yang Kong , Jiayu Zhang , Guoqiang Xu , Qiang Liu

Emerging Compute Express Link (CXL) enables cost-efficient memory expansion beyond the local DRAM of processors. While its CXL$.$mem protocol provides minimal latency overhead through an optimized protocol stack, frequent CXL memory…

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-18 Yi Xu , Suyash Mahar , Ziheng Liu , Mingyao Shen , Steven Swanson

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

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) 3.0 and beyond allows the compute nodes of a cluster to share data with hardware cache coherence and at the granularity of a cache line. This enables shared-memory semantics for distributed computing, but…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-10 Antonis Psistakis , Burak Ocalan , Chloe Alverti , Fabien Chaix , Ramnatthan Alagappan , Josep Torrellas

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

As the memory channel count is confined by physical dimensions, memory expanders appear to be a promising approach to extending memory capacity and channels by augmenting the existing I/O interface (e.g., PCIe) with memory-semantic…

Hardware Architecture · Computer Science 2026-03-30 Younghoon Ko , Hyemin Park , Hyuk-Jae Lee , Hyokeun Lee

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

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

Persistent Memory (PM) introduces new opportunities for designing crash-consistent applications without the traditional storage overheads. However, ensuring crash consistency in PM demands intricate knowledge of CPU, cache, and memory…

Emerging Technologies · Computer Science 2025-04-25 João Oliveira , João Gonçalves , Miguel Matos

We present a thorough analysis of the use of modern heterogeneous systems interconnected by various cachecoherent links, including CXL, NVLink-C2C, and Infinity Fabric. We studied a wide range of server systems that combined CPUs from…

PCIe devices, such as SSDs and GPUs, are pivotal in modern data centers, and their value is set to grow amidst the emergence of AI and large models. However, these devices face onboard DRAM shortage issue due to internal space limitation,…

Hardware Architecture · Computer Science 2024-06-05 Jiapin Wang , Xiangping Zhang , Chenlei Tang , Xiang Chen , Tao Lu

Heterogeneous memory technologies are increasingly important instruments in addressing the memory wall in HPC systems. While most are deployed in single node setups, CXL.mem is a technology that implements memories that can be attached to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-10 Stepan Vanecek , Matthew Turner , Manisha Gajbe , Matthew Wolf , Martin Schulz

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

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

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 expansion of context windows in large language models (LLMs) to multi-million tokens introduces severe memory and compute bottlenecks, particularly in managing the growing Key-Value (KV) cache. While Compute Express Link (CXL) enables…

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