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Memory latency, bandwidth, capacity, and energy increasingly limit performance. In this paper, we reconsider proposed system architectures that consist of huge (many-terabyte to petabyte scale) memories shared among large numbers of CPUs.…

Hardware Architecture · Computer Science 2025-09-24 Samuel Dayo , Shuhan Liu , Peijing Li , Philip Levis , Subhasish Mitra , Thierry Tambe , David Tennenhouse , H. -S. Philip Wong

In-network computing via smart networking devices is a recent trend for modern datacenter networks. State-of-the-art switches with near line rate computing and aggregation capabilities are developed to enable, e.g., acceleration and better…

Networking and Internet Architecture · Computer Science 2021-10-28 Raz Segal , Chen Avin , Gabriel Scalosub

Digital neuromorphic processors are emerging as a promising computing substrate for low-power, always-on EdgeAI applications. In this tutorial paper, we outline the main architectural design principles behind fully digital neuromorphic…

Hardware Architecture · Computer Science 2025-12-02 Amirreza Yousefzadeh

Efficiency in passage times is an important issue in designing networks, such as transportation or computer networks. The small-world networks have structures that yield high efficiency, while keeping the network highly clustered. We show…

Disordered Systems and Neural Networks · Physics 2009-11-07 Takashi Nishikawa , Adilson E. Motter , Ying-Cheng Lai , Frank C. Hoppensteadt

Real-time systems, particularly those used in domains like automated driving, are increasingly adopting neural networks. From this trend arises the need for high-performance hardware exhibiting predictable timing behavior. While…

Hardware Architecture · Computer Science 2026-02-26 Maximilian Kirschner , Konstantin Dudzik , Ben Krusekamp , Jürgen Becker

Nonorthogonal multiple access (NOMA) is a promising technology to meet the demands of the next generation wireless networks on massive connectivity, high throughput and reliability, improved fairness, and low latency. In this context,…

Information Theory · Computer Science 2018-04-17 Mohammad Vahid Jamali , Hessam Mahdavifar

Hardware implementations of Spiking Neural Networks (SNNs) represent a promising approach to edge-computing for applications that require low-power and low-latency, and which cannot resort to external cloud-based computing services.…

Hardware Architecture · Computer Science 2023-08-09 Zhe Su , Hyunjung Hwang , Tristan Torchet , Giacomo Indiveri

Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of…

Hardware Architecture · Computer Science 2018-11-14 Saber Moradi , Rajit Manohar

Networks of superconducting optoelectronic neurons are investigated for their near-term technological potential and long-term physical limitations. Networks with short average path length, high clustering coefficient, and power-law degree…

Neural and Evolutionary Computing · Computer Science 2018-05-17 Jeffrey M. Shainline , Jeff Chiles , Sonia M. Buckley , Adam N. McCaughan , Richard P. Mirin , Sae Woo Nam

Integrated optical interconnect is believed to be one of the main technologies to replace electrical wires. Optical Network-on-Chip (ONoC) has attracted more attentions nowadays. Benes topology is a good choice for ONoC for its…

Hardware Architecture · Computer Science 2011-09-06 Jing Zhang , Huaxi Gu , Yintang Yang

The problem of minimizing the total power consumption while satisfying different quality-of-service (QoS) requirements in a two-hop multiple-input multiple-output network with a single non-regenerative relay is considered. As shown by Y.…

Information Theory · Computer Science 2013-03-13 Luca Sanguinetti , Antonio A. D'Amico

With power consumption becoming a critical processor design issue, specialized architectures for low power processing are becoming popular. Several studies have shown that neural networks can be used for signal processing and pattern…

Hardware Architecture · Computer Science 2016-06-16 Raqibul Hasan , Tarek M. Taha , Chris Yakopcic , David J. Mountain

Designing deep learning models for highly-constrained hardware would allow imbuing many edge devices with intelligence. Microcontrollers (MCUs) are an attractive platform for building smart devices due to their low cost, wide availability,…

Machine Learning · Computer Science 2020-03-04 Edgar Liberis , Nicholas D. Lane

Optical Wireless Communication networks (OWC) has emerged as a promising technology that enables high-speed and reliable communication bandwidth for a variety of applications. In this work, we investigated applying Random Linear Network…

Information Theory · Computer Science 2023-05-09 Ahmed Ali Hassan , Ahmed Adnan Qidan , Taisir Elgorashi , Jaafar Elmirghani

Modern multicore systems are migrating from homogeneous systems to heterogeneous systems with accelerator-based computing in order to overcome the barriers of performance and power walls. In this trend, FPGA-based accelerators are becoming…

Hardware Architecture · Computer Science 2020-09-04 Zhe Lin , Sharad Sinha , Hao Liang , Liang Feng , Wei Zhang

Multi-core, Mixed Criticality Embedded (MCE) real-time systems require high timing precision and predictability to guarantee there will be no interference between tasks. These guarantees are necessary in application areas such as avionics…

Hardware Architecture · Computer Science 2016-06-29 Steve Kerrison , David May , Kerstin Eder

This study focuses on the optimization of a single-cell multi-user multiple-input multiple-output (MIMO) system with multiple large-size reconfigurable intelligent surfaces (RISs). The overall transmit power is minimized by optimizing the…

Information Theory · Computer Science 2024-10-08 Silvia Palmucci , Giulio Bartoli , Andrea Abrardo , Marco Moretti , Marco Di Renzo

In the context of quantum secure scenarios, existing research on mobile edge devices and intelligent computing and edge (ICE) systems based on the Non-Orthogonal Multiple Access (NOMA) communication model have overlooked the energy…

Information Theory · Computer Science 2026-04-30 Yongtao Yao , Wenjing Xiao , Miaojiang Chen , Anfeng Liu , Zhiquan Liu , Min Chen , Ahmed Farouk , H. Herbert Song

Non-orthogonal multiple access (NOMA) has been proposed for massive connectivity in future generations of wireless communications. A dominant NOMA scheme is based on power optimization, in which decoding of target user is assumed to be…

Information Theory · Computer Science 2018-10-23 Kun Wang

Information-centric networking (ICN) has gained attention from network research communities due to its capability of efficient content dissemination. In-network caching function in ICN plays an important role to achieve the design…

Networking and Internet Architecture · Computer Science 2016-12-09 Atsushi Ooka , Suyong Eum , Shingo Ata , Masayuki Murata