Cellular nanoscale sensory wave computing

Chagaan Baatar, T. Roska, Wolfgang Porod

Research output: Book/ReportBook

4 Citations (Scopus)

Abstract

In this book the emerging and converging architecture of morphic cellular wave computers based on the concept of Cellular Neural/Nonlinear Network (CNN) is introduced in a practical way. The authors include descriptions of hardware architectures, software algorithms, as well as a possible new CNN cell based on memristor. The first single chip cellular wave computer- a vision system on a chip (VSoC) is also discussed. ellular Nanoscale Sensory Wave Computing is a result of a Multidisciplinary University Research Initiative (MURI) project that has been funded by the Office of Naval Research and completed recently. The results manifest a new way of thinking about sensory computing, as well as it is one of the first successful attempts to bridge the gap between nanoscale (smaller than 100 nm) devices and CMOS integrated circuits with stored programmable algorithms and software on the system level.

Original languageEnglish
PublisherSpringer US
Number of pages249
ISBN (Print)9781441910103
DOIs
Publication statusPublished - 2010

Fingerprint

Nonlinear networks
Memristors
CMOS integrated circuits
Software architecture
Computer hardware

Keywords

  • Cellular Automation
  • Cellular Wave Computing
  • CMOS integrated circuits
  • CMOS nanoelectronics
  • Microprocessor
  • Morphic cellular wave computers
  • Nanoscale Sensory Devices
  • Nonlinear Dynamics
  • Processor chips
  • Single chip cellular devices
  • Single chip sensing and computing
  • System level programmable algorithms
  • VSOC (Vision System on Chip)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cellular nanoscale sensory wave computing. / Baatar, Chagaan; Roska, T.; Porod, Wolfgang.

Springer US, 2010. 249 p.

Research output: Book/ReportBook

Baatar, Chagaan ; Roska, T. ; Porod, Wolfgang. / Cellular nanoscale sensory wave computing. Springer US, 2010. 249 p.
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