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Cellular Nanoscale Sensory Wave Computing

  • Book
  • © 2010

Overview

Editors:
  1. Chagaan Baatar

    1. Electronics & Networks Research Division, Office of Naval Research Sensors, Arlington, USA

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  2. Wolfgang Porod

    1. University of Notre Dame, Center for Nano Science & Technology, Notre Dame, USA

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  3. Tamás Roska

    1. MTA Budapest Computer & Automation Research Institute, Budapest, Hungary

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  • Discusses the combination of sensing and computation on a single chip, particularly an entire vision system on a chip
  • Addresses the cellular wave computing concept and architecture in regards to emerging post-CMOS nanoelectronics architecture as well as the many thousand core chips
  • Describes many new developments, such as the nanoscale antenna and 3D monolithic integration of sensing and computing
  • Presents the practical and complex algorithms for mission critical applications running on the new cellular visual microprocessors as well as on the 1024 core FPGA
  • Covers a new kind of computer science and algorithmic base that is emerging for million processor systems with several thousand processor chips
  • Includes a special aspect on biological relevance which explains the multichannel processing in a mammalian retina in connection to the cellular wave computing paradigm

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
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  2. A Brief History of CNN and ONR

    • Larry Cooper, Joel Davis
    Pages 1-4

  3. Cellular Wave Computing in Nanoscale via Million Processor Chips

    • Tamás Roska, Laszlo Belady, Maria Ercsey-Ravasz
    Pages 5-25

  4. Nanoantenna Infrared Detectors

    • Jeffrey Bean, Badri Tiwari, Gergo Szakmány, Gary H. Bernstein, P. Fay, Wolfgang Porod
    Pages 27-86

  5. Memristors: A New Nanoscale CNN Cell

    • Leon Chua
    Pages 87-115

  6. Circuit Models of Nanoscale Devices

    • Árpád I. Csurgay, Wolfgang Porod
    Pages 117-127

  7. A CMOS Vision System On-Chip with Multi-Core, Cellular Sensory-Processing Front-End

    • Angel Rodríguez-Vázquez, Rafael Domínguez-Castro, Francisco Jiménez-Garrido, Sergio Morillas, Alberto García, Cayetana Utrera et al.
    Pages 129-146

  8. Cellular Multi-core Processor Carrier Chip for Nanoantenna Integration and Experiments

    • Akos Zarandy, Peter Foldesy, Ricardo Carmona, Csaba Rekeczky, Jeffrey A. Bean, Wolfgang Porod
    Pages 147-162

  9. Circuitry Underlying Visual Processing in the Retina

    • Frank S. Werblin
    Pages 163-180

  10. Elastic Grid-Based Multi-Fovea Algorithm for Real-Time Object-Motion Detection in Airborne Surveillance

    • Balazs Gergely Soos, Vilmos Szabo, Csaba Rekeczky
    Pages 181-213

  11. Low-Power Processor Array Design Strategy for Solving Computationally Intensive 2D Topographic Problems

    • Ákos Zarándy, Csaba Rekeczky
    Pages 215-245

  12. Back Matter

    Pages 247-249
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Keywords

About this book

This book is loosely based on a Multidisciplinary University Research Initiative (MURI) project and a few supplemental projects sponsored by the Of?ce of Naval Research (ONR) during the time frame of 2004–2009. The initial technical scope and vision of the MURI project was formulated by Drs. Larry Cooper and Joel Davis, both program of?cers at ONR at the time. The unifying theme of this MURI project and its companionefforts is the concept of cellular nonlinear/neuralnetwork (CNN) technology and its various extensions and chip implementations, including nanoscale sensors and the broadening ?eld of cellular wave computing. In recent years, CNN-based vision system drew much attention from vision scientists to device technologists and computer architects. Due to its early - plementation in a two-dimensional (2D) topography, it found success in early vision technologyapplications, such as focal-plane arrays, locally adaptable sensor/ processor integration, resulting in extremely high frame rates of 10,000 frames per second. More recently it drew increasing attention from computer architects, due to its intrinsic local interconnect architecture and parallel processing paradigm. As a result, a few spin-off companies have already been successful in bringing cel- lar wave computing and CNN technology to the market. This book aims to capture some of the recent advances in the ?eld of CNN research and a few select areas of applications.

Editors and Affiliations

  • Electronics & Networks Research Division, Office of Naval Research Sensors, Arlington, USA

    Chagaan Baatar

  • University of Notre Dame, Center for Nano Science & Technology, Notre Dame, USA

    Wolfgang Porod

  • MTA Budapest Computer & Automation Research Institute, Budapest, Hungary

    Tamás Roska

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