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

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中文摘要
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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:
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    • 财政年份:
      2023
    • 负责人:
      Sudeep Pasricha
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    CC* Compute: HPC Services for the Colorado State University System
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      2201538
    • 项目类别:
      Standard Grant
    • 资助金额:
      $40.0万
    • 财政年份:
      2022
    • 负责人:
      Sudeep Pasricha
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    EAGER: Exploring Multi-Modal Deep Learning Systems for Sustainable Connected and Autonomous Vehicles
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      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
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      31972324
    • 项目类别:
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    • 资助金额:
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    • 批准年份:
      2019
    • 负责人:
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