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IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3392990
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引用次数: 0
IEEE Circuits and Systems Magazine Publication Information IEEE 电路与系统杂志出版信息
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3373289
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引用次数: 0
PCI-Express: Evolution of a Ubiquitous Load-Store Interconnect Over Two Decades and the Path Forward for the Next Two Decades PCI-Express:无处不在的负载存储互连二十年来的发展和未来二十年的前进之路
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3373556
Debendra Das Sharma
The Peripheral Component Interconnect Express (PCI-Express or PCle) architecture has been the ubiquitous backbone interconnect in the evolving computing landscape for more than two decades. This paper delves into the multiple innovations driving the backward-compatible evolution of PCle for seven generations, doubling bandwidth every generation, while delivering power-efficient and cost-effective performance. Compute Express Link (CXL) overlays coherency and memory protocols on top of PCle for heterogeneous computing, addressing the memory wall, resource pooling and sharing across servers, and distributed computing using load-store based messaging. The die-todie industry-standard, Universal Chiplet Interconnect Express $^{TM}$ (UCle), offers orders of magnitude improvement in bandwidth density, power efficiency, and latency for PCle and CXL protocols on-package and pod-level connectivity with co-packaged optics. We foresee PCle will continue to evolve over the next few decades to serve future computing needs. It will do so by embracing alternate media while backward-compatible frequency scaling with copper will continue and protocol enhancements will enable non-tree fabric topologies.
二十多年来,外设组件互连 Express(PCI-Express 或 PCle)架构一直是不断发展的计算领域中无处不在的主干互连架构。本文深入探讨了推动 PCle 向后兼容演进的多种创新技术,这些创新技术已历经七代,每一代的带宽都翻了一番,同时还提供了高能效和高成本效益的性能。Compute Express Link(CXL)在 PCle 的基础上叠加了一致性和内存协议,用于异构计算、解决内存墙问题、跨服务器的资源池和共享,以及使用基于负载存储的消息传递进行分布式计算。通用芯片组互连 Express $^{TM}$ (UCle)是芯片组的行业标准,它在带宽密度、能效和延迟方面为 PCle 和 CXL 协议提供了数量级的改进。我们预计 PCle 将在未来几十年继续发展,以满足未来的计算需求。它将通过采用替代介质来实现这一目标,同时将继续实现与铜缆向后兼容的频率扩展,而协议增强功能将支持非树状结构拓扑。
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引用次数: 0
The Impact of Circuits and Systems on the Etna Valley Site [CAS Regional Report] 电路和系统对埃特纳河谷遗址的影响 [CAS 地区报告]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3370495
Luigi Fortuna, Arturo Buscarino
The impact of Circuits and Systems, and in particular Cellular Nonlinear Networks (CNNs), on the scientific community of the Etna Valley is briefly remarked. These topics have been the key-point activities that established a permanent link among various researchers, increasing the scientific and industrial relevance of the Etna Valley site in many Circuits and Systems related research areas.
本文简要介绍了电路与系统,特别是蜂窝非线性网络(CNN)对埃特纳河谷科学界的影响。这些主题一直是在不同研究人员之间建立永久联系的关键点活动,提高了埃特纳河谷基地在许多电路与系统相关研究领域的科学和工业相关性。
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引用次数: 0
Cryogenic CMOS Design for Qubit Control: Present Status, Challenges, and Future Directions [Feature] 用于质子控制的低温 CMOS 设计:现状、挑战和未来方向 [特写]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3383808
Sudipto Chakraborty, Rajiv V. Joshi
This article will review recent progress in cryogenic CMOS designs for future scaled quantum computing applications. After introducing the scaling challenges associated with qubit control and readout electronics operating at room temperature, approaches taken to date to cryogenic control electronics design will be discussed, focusing on the most recent relevant publications. Elements of ultra-low power circuit and system design approaches for cryogenic controllers in scaled CMOS nodes (40nm to 14nm) will be reviewed, including a discussion of current state-of-the art cryogenic controller performance and power efficiency. Note that leading designs, when operated as transmon qubit state controllers, have achieved gate error rates in the range of 10-4 to 10-3 achieving spurious free dynamic range (SFDR) of ~40dB while consuming 4-23mW of power per qubit under active control, with power efficiency strongly driven by the complexity of the digital processor integrated in the controller design. These demonstrations, while significant, are just the first steps toward achieving the performance, efficiency, and scalability that will be required for future systems. This review article will discuss fundamental tradeoffs in CMOS cryogenic designs in order to address the needs of future scaled quantum computing systems.
本文将综述针对未来规模量子计算应用的低温 CMOS 设计的最新进展。在介绍了与在室温下工作的量子比特控制和读出电子器件相关的扩展挑战之后,将讨论迄今为止在低温控制电子器件设计方面所采取的方法,重点是最新的相关出版物。将回顾在按比例 CMOS 节点(40 纳米到 14 纳米)中低温控制器的超低功耗电路和系统设计方法的要素,包括讨论当前最先进的低温控制器性能和功率效率。请注意,领先的设计在作为跨门量子比特状态控制器运行时,栅极误差率已达到 10-4 至 10-3,实现了 ~40dB 的无杂散动态范围 (SFDR),而在主动控制下,每个量子比特的功耗为 4-23mW ,功耗效率主要取决于集成在控制器设计中的数字处理器的复杂性。这些演示虽然意义重大,但只是实现未来系统所需的性能、效率和可扩展性的第一步。本评论文章将讨论 CMOS 低温设计中的基本权衡,以满足未来规模量子计算系统的需求。
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引用次数: 0
Editorial: Special Issue for the 75th Anniversary of the IEEE Circuits and Systems Society [Editorial] 社论:IEEE 电路与系统协会 75 周年特刊[社论]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-05-15 DOI: 10.1109/mcas.2024.3384522
Keshab K. Parhi, Hai Li, Krishnan Kailas, Harish Krishnaswamy, Massimo Alioto, Maciej Ogorzalek
IEEE Circuits and Systems (CAS) Society (CASS) celebrates the 75th Anniversary of the Society in 2024. This is a major celebration for CASS after the Golden Jubilee celebration in 1999. This special Issue of the IEEE Circuits and Systems Magazine is one of many celebrations and events planned this year by and for CASS members. The Celebrations not only reflect upon the history of our Society from multiple angles but also look forward to the future. The planning for this Special Issue started in July 2023 when Gabriele Manganaro, VP-Publications of IEEE CASS, tasked the incoming Editor-in-Chief (KP) to plan for the Special Issue. A Call for White Papers was issued to the CASS membership on 20 July 2023. The authors were asked to provide historical progress over the last 25 years and point out future directions for the next 25 years. We received numerous White Papers in September 2023, and were able to invite only few authors to submit Full Papers. Authors of Invited White Papers submitted their Full papers in second half of December 2023. All reviews were completed by March 2024. Before providing an overview of the papers in this Special Issue, we begin by thanking all the authors who took the time to submit the White Papers (whether Invited or not) and the Full papers. We are very grateful to all the reviewers who provided reviews in short notice due to the time constraints to publish the Special Issue.
IEEE 电路与系统(CAS)学会(CASS)将于 2024 年庆祝学会成立 75 周年。这是继 1999 年金禧庆典之后,CASS 的又一次重大庆典活动。本期 IEEE 电路与系统杂志特刊是 CASS 会员今年计划举办的众多庆祝活动之一。这些庆祝活动不仅从多个角度回顾了学会的历史,而且还展望了未来。本特刊的策划始于 2023 年 7 月,当时 IEEE CASS 出版副总裁 Gabriele Manganaro 委托新任主编(KP)策划本特刊。2023 年 7 月 20 日,向 CASS 成员发出了白皮书征集令。要求作者提供过去 25 年的历史进展,并指出未来 25 年的发展方向。2023 年 9 月,我们收到了大量白皮书,只能邀请少数作者提交正式论文。受邀白皮书的作者于 2023 年 12 月下半月提交了论文全文。所有评审工作于 2024 年 3 月完成。在概述本特刊的论文之前,我们首先感谢所有抽出时间提交白皮书(无论是否受邀)和论文全文的作者。我们非常感谢所有审稿人,由于特刊出版时间紧迫,他们在短时间内提供了审稿意见。
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引用次数: 0
NISQ Quantum Computing: A Security-Centric Tutorial and Survey [Feature] NISQ 量子计算:以安全为中心的教程和调查 [特写]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-07 DOI: 10.1109/mcas.2024.3349665
Fan Chen, Lei Jiang, Hausi Müller, Philip Richerme, Cheng Chu, Zhenxiao Fu, Min Yang
Quantum computing (QC) demonstrates substantial theoretical promise in addressing classically intractable problems. Recent investments and advancements across QC system stacks, including hardware, software, and algorithms, underscore a pivotal shift from theoretical exploration to the practical realization of applications. Despite this progress, the prevailing emphasis has predominantly centered on performance enhancement, often overlooking security considerations. In response to this gap, our article presents a comprehensive tutorial and survey aimed at identifying and categorizing vulnerabilities inherent in quantum computing systems. Beginning with an overview encompassing essential principles, ecosystem components, and unique attributes in the quantum computing system stack, we also provide a summary of development resources to facilitate efficient initiation in this domain. Building on this foundational knowledge, we introduce a taxonomy of QC security organized by victim layer and security attack objectives. Utilizing this taxonomy as a guiding framework, the article delivers an extensive survey of the latest advancements in QC security, with the overarching goal of equipping the reader with a comprehensive understanding of quantum computing system principles and an informed awareness of diverse and dynamic QC security threats. The intention is to benefit both industry stakeholders and research communities, ultimately aiming to proactively identify and mitigate security concerns within QC systems, thereby establishing a robust foundation for secure quantum computing environments.
量子计算(QC)在解决经典难题方面展现了巨大的理论前景。最近,包括硬件、软件和算法在内的整个量子计算系统堆栈的投资和进步凸显了从理论探索到实际应用实现的关键转变。尽管取得了这一进展,但目前的重点主要集中在性能提升上,往往忽略了安全性方面的考虑。针对这一差距,我们的文章提供了全面的教程和调查,旨在识别量子计算系统固有的漏洞并对其进行分类。首先,我们概述了量子计算系统堆栈的基本原理、生态系统组件和独特属性,并总结了开发资源,以促进该领域的高效启动。在这些基础知识的基础上,我们介绍了按受害层和安全攻击目标分类的量子计算安全分类法。文章以该分类法为指导框架,广泛介绍了量子计算安全领域的最新进展,其总体目标是让读者全面了解量子计算系统原理,并对各种动态的量子计算安全威胁有一个知情的认识。文章的目的是让行业利益相关者和研究团体都能从中受益,最终达到主动识别和减轻量子计算系统内的安全问题,从而为安全的量子计算环境奠定坚实的基础。
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引用次数: 0
Wafer-Scale Computing: Advancements, Challenges, and Future Perspectives [Feature] 晶圆级计算:进展、挑战和未来展望 [特写]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-07 DOI: 10.1109/mcas.2024.3349669
Yang Hu, Xinhan Lin, Huizheng Wang, Zhen He, Xingmao Yu, Jiahao Zhang, Qize Yang, Zheng Xu, Sihan Guan, Jiahao Fang, Haoran Shang, Xinru Tang, Xu Dai, Shaojun Wei, Shouyi Yin
Nowadays, artificial intelligence (AI) technology with large models plays an increasingly important role in both academia and industry. It also brings a rapidly increasing demand for the computing power of the hardware. As the computing demand for AI continues to grow, the growth of hardware computing power has failed to keep up. This has become a significant factor restricting the development of AI. The augmentation of hardware computing power is mainly propelled by the escalation of transistor density and chip area. However, the former is impeded by the termination of the Moore’s Law and Dennard scaling, and the latter is significantly restricted by the challenge of disrupting the legacy fabrication equipment and process. In recent years, advanced packaging technologies that have gradually matured are increasingly used to implement bigger chips that integrate multiple chiplets, while still providing interconnections with chip-level density and bandwidth. This technique points out a new path of continuing the increase of computing power while leveraging the current fabrication process without significant disruption. Enabled by this technique, a chip can extend to a size of wafer-scale (over 10,000 mm $^{2}$ ), provisioning orders of magnitude more computing capabilities (several POPS within just one monolithic chip) and die-to-die bandwidth density (over 15 GB/s/mm) than regular chips, and emerges a new Wafer-scale Computing paradigm. Compared to conventional high-performance computing paradigms such as multi-accelerator and datacenter-scale computing, Wafer-scale Computing shows remarkable advantages in communication bandwidth, integration density, and programmability potential. Not surprisingly, disruptive Wafer-scale Computing also brings unprecedented design challenges for hardware architecture, design- $backslash $ system- technology co-optimization, power and cooling systems, and compiler tool chain. At present, there are no comprehensive surveys summarizing the current state and design insights of Wafer-scale Computing. This article aims to take the first step to help academia and industry review existing wafer-scale chips and essential technologies in a one-stop manner. So that people can conveniently grasp the basic knowledge and key points, understand the achievements and shortcomings of existing research, and contribute to this promising research direction.
如今,具有大型模型的人工智能(AI)技术在学术界和工业界发挥着越来越重要的作用。这也带来了对硬件计算能力的快速增长需求。随着人工智能计算需求的不断增长,硬件计算能力的增长却跟不上。这已成为制约人工智能发展的重要因素。硬件计算能力的提升主要得益于晶体管密度和芯片面积的增加。然而,前者受制于摩尔定律和 Dennard Scaling 的终结,后者则受制于颠覆传统制造设备和工艺的挑战。近年来,逐渐成熟的先进封装技术越来越多地用于实现集成多个芯片的更大芯片,同时仍然提供芯片级密度和带宽的互连。这种技术为继续提高计算能力指明了一条新的道路,同时还能充分利用当前的制造工艺,而不会造成重大干扰。在这种技术的支持下,芯片可以扩展到晶圆级尺寸(超过 10,000 mm $^{2}$),提供比普通芯片更多数量级的计算能力(仅在一个单片芯片内就有多个 POPS)和芯片到芯片的带宽密度(超过 15 GB/s/mm),并出现了一种新的晶圆级计算范例。与多加速器和数据中心级计算等传统高性能计算范式相比,晶圆级计算在通信带宽、集成密度和可编程潜力方面具有显著优势。毫不奇怪,颠覆性的晶圆级计算也为硬件架构、设计、系统技术协同优化、电源和冷却系统以及编译器工具链带来了前所未有的设计挑战。目前,还没有全面总结晶圆级计算现状和设计见解的调查报告。本文旨在迈出第一步,帮助学术界和产业界一站式回顾现有的晶圆级芯片和基本技术。这样,人们就能方便地掌握基本知识和要点,了解现有研究的成就和不足,并为这一前景广阔的研究方向贡献力量。
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IEEE Proceedings 电气和电子工程师学会论文集
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-05 DOI: 10.1109/mcas.2024.3361108
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引用次数: 0
IEEE Council on EDA and IEEE CASS [CAS in the World] 电气和电子工程师学会 EDA 理事会和电气和电子工程师学会 CASS [世界 CAS]
IF 6.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-05 DOI: 10.1109/mcas.2024.3349670
Ricardo Reis
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引用次数: 0
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IEEE Circuits and Systems Magazine
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