课题基金 / 基金详情

SHF: Small: Energy-Efficient and Reliable Communication with Silicon Photonics for Terascale Datacenters-on-Chip

SHF: Small: Energy-Efficient and Reliable Communication with Silicon Photonics for Terascale Datacenters-on-Chip
SHF:小型:采用硅光子技术实现兆兆级片上数据中心的节能且可靠的通信
批准号:
1813370
负责人:
Sudeep Pasricha
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2022-09-30

项目摘要

项目成果

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中文摘要
翻译
电子处理芯片是数字智能的核心,是医疗、消费、工业、网络、航空航天、汽车和国防应用领域突破性技术进步的驱动力。近年来,大量数据生成和消费的应用领域呈增长趋势,这给芯片级网络带来了巨大的压力,这些网络现在必须在比以往更短的时间内传输非常大量的数据。在这种压力下,芯片级的传统电网正在崩溃,这将阻碍能够改变社会和改善生活的下一代高性能数字智能的发展,这将是灾难性的。幸运的是,硅光子学已经成为一种令人兴奋的技术灵丹妙药,它可以用更快的光速传输取代缓慢的电子连接。虽然在长光纤(例如,几英里)上的通信在今天相当普遍,但硅光子学技术与电子芯片的纳米集成是一种新的范例,提出了尚未解决的巨大挑战。该项目将涉及变革性研究,以克服这些基本挑战,并为实现未来基于光子的电子芯片铺平道路,这些芯片的尺寸很小,但具有与当今大型数据中心计算设施相同的计算能力。与惠普企业和Lumerical的工业合作伙伴密切合作将有助于快速采用成果。此外,通过让K-12、本科生和研究生接触新兴技术、设备、电路、架构和算法的各个方面,该项目将有助于建立一支灵活的高科技劳动力队伍,从而保持美国在技术创新方面的持续领导地位。该项目的主要贡献将是一个新的框架,它将推动芯片级硅光子学实现超低能耗和高可靠性数据传输的界限。该框架包括三个密切相关的主要重点,将以高度集成的方式解决:(1)表征硅光子器件的行为,并基于应用纳米工具公司的器件制造探索新的器件配置,以选择节能和低成本的器件;(2)利用硅光子器件设计新的电路,克服通信过程中的噪声,增加带宽,降低功耗;(3)创建新的基于硅光子学的网络架构和优化工具,以实现芯片级处理核心之间传输数据的超低能量和故障恢复解决方案。除了这三个重点之外,该框架还将利用跨设备、电路和架构层的跨层洞察力,并设计跨两个或多个这些层的优化。单个层的创新以及跨层的优化将实现比现在更大的节能和更高的可靠性芯片级通信。这一结果将迎来一个超高性能计算的新时代,电子芯片内的光速数据传输可以与芯片外部的基于光学的数据传输一起工作,以克服各级通信能量和性能瓶颈。这样的发展将使成本更低的超级计算和云数据中心成为可能,使计算对科学家来说更便宜,在日常生活中更普遍,以无数的方式改变我们的生活。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Electronic processing chips are at the heart of the digital intelligence that has been the driving force for groundbreaking technological advances across the medical, consumer, industrial, networking, aerospace, automotive, and defense application domains. In recent years, there has been a growing trend in these application domains of massive data generation and consumption, which puts immense pressure on the networks at the chip-scale that must now transfer very high volumes of data in much shorter durations of time than ever before. Traditional electrical networks at the chip-scale are breaking down under this pressure, which is catastrophic as it prevents the development of the next generation of high-performance digital intelligence that can transform society and improve lives. Fortunately, silicon photonics has emerged as an exciting technological panacea that can replace slow electrical links with much faster light-speed transfers. While communication over long optical fibers (e.g., several miles) is quite common today, the nano-integration of silicon photonics technology with electronic chips is a new paradigm and presents enormous challenges that have yet to be addressed. This project will involve transformative research to overcome these fundamental challenges, and pave the way for realizing future photonics-based electronic chips that are miniature in size, but with the same computing power as a large datacenter computing facility today. Close collaborations with industrial partners at HP Enterprise and Lumerical will aid in the rapid adoption of the outcomes. Moreover, by exposing K-12, undergraduate, and graduate students to the diverse aspects of emerging technologies, devices, circuits, architectures, and algorithms, the project will contribute to an agile high-tech workforce that will maintain continued US leadership in technological innovation.The principal contribution of this project will be a new framework that will push the boundaries of achieving ultra-low energy and high reliability data transfers with silicon photonics at the chip-scale. This framework consists of three major thrusts that are closely related and will be addressed in a highly integrated manner: (1) Characterize behavior of silicon photonics devices and explore new device configurations based on device fabrication at Applied NanoTools Inc., to enable the selection of energy-efficient and low-cost devices; (2) Design new circuits with silicon photonics devices to overcome noise, increase bandwidth, and reduce power dissipation during communication; and (3) Create new silicon photonics-based network architectures and tools for their optimization, to realize ultra-low energy and fault-resilience solutions for transferring data between processing cores at the chip-scale. Beyond these three thrusts, the framework will exploit cross-layer insights across the device, circuit, and architecture layers, and devise optimizations that span across two or more of these layers. The innovations at the individual layers together with optimizations across layers will achieve more aggressive energy savings and higher reliability chip-scale communication than what is possible today. This outcome will usher in a new era of ultra-high performance computing where light speed data transfers within electronic chips can work together with optics-based data transfers external to the chip, to overcome communication energy and performance bottlenecks at all levels. Such a development will enable lower-cost supercomputing and cloud datacenters, making computing more affordable for scientists and more ubiquitous in everyday life, to transform our lives in innumerable ways.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(32)
专著(0)
科研奖励(0)
会议论文
Securing Photonic NoC Architectures from Hardware Trojans
保护光子 NoC 架构免受硬件木马的侵害
DOI: --
发表时间: 2018
期刊: International Symposium on Networks-on-Chip
影响因子: --
作者: [Pasricha, S., Chittamuru, S. V., Thakkar, I., Bhat, V.]
通讯作者: Bhat, V.
DOI: 10.1145/3386263.3406919
发表时间: 2020-02
期刊: Proceedings of the 2020 on Great Lakes Symposium on VLSI
影响因子: --
作者: [Febin P. Sunny;Asif Mirza;Ishan G. Thakkar;S. Pasricha;M. Nikdast]
通讯作者: Febin P. Sunny;Asif Mirza;Ishan G. Thakkar;S. Pasricha;M. Nikdast
DOI: 10.1109/mm.2022.3150684
发表时间: 2022-05-01
期刊: IEEE MICRO
影响因子: 3.6
作者: [Ganguly, Amlan, Abadal, Sergi, Taskin, Baris]
通讯作者: Taskin, Baris
DOI: 10.3390/jlpea10040030
发表时间: 2020-09
期刊: ArXiv
影响因子: --
作者: [Kamil Khan;S. Pasricha;R. Kim]
通讯作者: Kamil Khan;S. Pasricha;R. Kim
31
    DESC:Type I: Sustainable Serverless Computing
    • 批准号:
      2324514
    • 项目类别:
      Standard Grant
    • 资助金额:
      $54.59万
    • 财政年份:
      2023
    • 负责人:
      Sudeep Pasricha
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    CC* Compute: HPC Services for the Colorado State University System
    • 批准号:
      2201538
    • 项目类别:
      Standard Grant
    • 资助金额:
      $40.0万
    • 财政年份:
      2022
    • 负责人:
      Sudeep Pasricha
    • 依托单位:
    EAGER: Exploring Multi-Modal Deep Learning Systems for Sustainable Connected and Autonomous Vehicles
    • 批准号:
      2132385
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.56万
    • 财政年份:
      2021
    • 负责人:
      Sudeep Pasricha
    • 依托单位:
    Collaborative Research: Workshop Series on Sustainable Computing
    • 批准号:
      2126017
    • 项目类别:
      Standard Grant
    • 资助金额:
      $0.8万
    • 财政年份:
      2021
    • 负责人:
      Sudeep Pasricha
    • 依托单位:
    国内基金
    海外基金
    昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
    • 依托单位:
    tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2022
    • 负责人:
      张祥忠
    • 依托单位:
    Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
    Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
    • 批准号:
      31972324
    • 项目类别:
      面上项目
    • 资助金额:
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    • 批准年份:
      2019
    • 负责人:
      高学文
    • 依托单位: