Computing with coupled dynamical systems

N. Shukla, S. Datta, A. Parihar, V. Narayanan, A. Raychowdhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution


While Boolean logic has been the backbone of information processing, there are computationally hard problems like optimization and associative computing wherein this conventional paradigm is fundamentally inadequate. This results in computational inefficacy, and motivates us to explore new pathways to their solution. In this talk, we introduce an experimental testbed comprising of compact coupled relaxation oscillator based dynamical system that exploits the insulator-metal transition in the correlated material, vanadium dioxide (VO2), to efficiently solve the approximate match between stored and input patterns. Our work is inspired by the understanding that associative computing finds a natural analogue in the energy minimization processes of parallel, coupled dynamical systems. Our work not only elucidates a physics-based computing method but also presents opportunities for building customized analog coprocessors for solving computationally hard problems efficiently.

Original languageEnglish (US)
Title of host publicationCNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and Their Applications
EditorsRonald Tetzlaff
PublisherIEEE Computer Society
Number of pages2
ISBN (Electronic)9783800742523
StatePublished - 2016
Event15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016 - Dresden, Germany
Duration: Aug 23 2016Aug 25 2016

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179


Conference15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Computing with coupled dynamical systems'. Together they form a unique fingerprint.

Cite this