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PFI:AIR - TT: Improving Robustness of Nanoscale Threshold Logic based Digitial Circuits and the Performance of Design Algorithms

PFI:AIR - TT: Improving Robustness of Nanoscale Threshold Logic based Digitial Circuits and the Performance of Design Algorithms
PFI:AIR - TT:提高基于纳米级阈值逻辑的数字电路的鲁棒性和设计算法的性能
批准号:
1701241
负责人:
Sarma Vrudhula
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2019-12-31

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英文摘要
This PFI: AIR Technology Translation project focuses on translating a recent innovation of designing digital circuits with threshold-logic circuits to fill the need for achieving reductions in power consumption and size of digital systems, at advanced technology nodes. The threshold-logic circuits and the concomitant design methodology is important because, from a user's perspective, it will enable mobile systems such as laptops and smartphones to operate much longer between recharging of the batteries, and reduce their size and weight. It can also lead to reducing the energy usage of bigger systems such as desktop computers, and massive data centers. From a manufacturer's perspective, it can result in cost savings, improved reliability and more competitive products. The project will result in enhanced design tools, the design of threshold-logic primitive cells, and the design of a prototype circuit at least one advanced technology node to serve as a proof-of-concept of its robustness and scalability at lower geometries. This threshold-logic based digital design technology has the following unique features: (1) a new architecture and method of operation of certain digital circuit primitives, and (2) a new way of incorporating them automatically in larger circuits using existing design tools, i.e., without disrupting the existing design methodologies, so that it can be easily adopted by industry. These features provide the following advantages: smaller circuits, lower dynamic power consumption, lower standby power consumption, and lower variations in power, all without sacrificing speed, when compared to the leading competing digital ASIC (application specific integrated circuit) technology in this market space. This project addresses the following technology gap(s) as it translates from research discovery (successfully demonstrated at 65nm node) toward commercial application: the scalability of the technology and design methodology to advanced (smaller geometries- 40nm, 28nm) technology nodes, including overcoming physical design challenges, maintaining robustness to increased process variations, and scaling the accompanying software tools to industrial-scale circuits. These challenges will be addressed by first developing the circuit libraries in 40nm, which is still a key technology for many companies competing in the $1T IoT (internet of things) market, and then advancing to 28nm in FD-SOI. The performance and capability of the design software will be enhanced by developing better interfaces to existing commercial design tools, and use of faster software libraries and commercial software platforms. In addition, personnel involved in this project, Ph.D. level graduate students, will continue to receive significant training that requires developing a broad range of design and analytical skills, in multiple technical areas, as well as learning how to meet exacting industrial design standards. Other activities will include summer internships with companies that have expressed interest in the threshold-logic technology, visiting companies and presenting and marketing the research outcomes to industry.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
FPGAs with Reconfigurable Threshold Logic Gates for Improved Performance, Power and Area
具有可重新配置阈值逻辑门的 FPGA,可提高性能、功耗和面积
DOI: 10.1109/fpl.2018.00051
发表时间: 2018
期刊: Field Programmable Logic
影响因子: --
作者: [Wagle, Ankit, Yang, Jinghua, Dengi, Aykut, Vrudhula, Sarma]
通讯作者: Vrudhula, Sarma
DOI: 10.1109/tvlsi.2018.2812700
发表时间: 2018-03
期刊: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
影响因子: 2.8
作者: [Jinghua Yang;A. Dengi;S. Vrudhula]
通讯作者: Jinghua Yang;A. Dengi;S. Vrudhula
A Novel ASIC Design Flow Using Weight-Tunable Binary Neurons as Standard Cells
使用权重可调二元神经元作为标准单元的新型 ASIC 设计流程
DOI: 10.1109/tcsi.2022.3164995
发表时间: 2022
期刊: IEEE Transactions on Circuits and Systems I: Regular Papers
影响因子: --
作者: [Wagle, Ankit, Singh, Gian, Khatri, Sunil, Vrudhula, Sarma]
通讯作者: Vrudhula, Sarma
Embedding Binary Perceptrons in FPGA to improve Area, Power and Performance
在 FPGA 中嵌入二进制感知器以改善面积、功耗和性能
DOI: 10.1109/iccad45719.2019.8942071
发表时间: 2019
期刊: International Conference on Computer-Aided Design
影响因子: --
作者: [Wagle, Ankit, Azari, Elham, Vrudhula, Sarma]
通讯作者: Vrudhula, Sarma
IUCRC Phase I Arizona State University: Center for Intelligent, Distributed, Embedded, Applications and Systems (IDEAS)
  • 批准号:
    2231620
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $102.98万
  • 财政年份:
    2023
  • 负责人:
    Sarma Vrudhula
  • 依托单位:
SHF: Small: Content-Aware Mapping of Streaming AI Workloads on Heterogeneous Edge Devices
  • 批准号:
    2008244
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.83万
  • 财政年份:
    2020
  • 负责人:
    Sarma Vrudhula
  • 依托单位:
Planning IUCRC Arizona State University: Center for Networked Embedded, Smart and Trusted Things NESTT
  • 批准号:
    1822169
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2018
  • 负责人:
    Sarma Vrudhula
  • 依托单位:
I-Corps: Sygnal: Compact, Low Power, High Performance Digital Circuits using Threshold Logic
  • 批准号:
    1565921
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2015
  • 负责人:
    Sarma Vrudhula
  • 依托单位:
国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号:
    51976048
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2019
  • 负责人:
    邱朋华
  • 依托单位: