Random number generator and Monte Carlo type simulations on the CNN-UM

Mária Ercsey-Ravasz, T. Roska, Zoltán Néda

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

3 Citations (Scopus)

Abstract

The computational paradigm represented by Cellular Neural Networks (CNN) gives new perspectives also for computational physics. Here we study the possibility of performing stochastic simulations on the CNN Universal Machine (CNN-UM). First by using a chaotic cellular automaton perturbed with the natural noise of the CNN-UM chip, a realistic binary random number generator (RNG) is built. Using this RNG the site-percolation problem and the two-dimensional Ising model is studied by Monte Carlo type simulations. The results obtained on an ACE16K chip are in good agreement with the results obtained on digital computers. Computational time measurements suggest that the developing trend of the CNN-UM chips could assure an important advantage for the CNN-UM in the near future.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
DOIs
Publication statusPublished - 2006
Event2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 - Istanbul, Turkey
Duration: Aug 28 2006Aug 30 2006

Other

Other2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
CountryTurkey
CityIstanbul
Period8/28/068/30/06

Fingerprint

Cellular neural networks
Ising model
Cellular automata
Digital computers
Time measurement
Physics

Keywords

  • CNN Universal Machine
  • Random number generator
  • Stochastic simulations

ASJC Scopus subject areas

  • Software

Cite this

Ercsey-Ravasz, M., Roska, T., & Néda, Z. (2006). Random number generator and Monte Carlo type simulations on the CNN-UM. In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications [4145842] https://doi.org/10.1109/CNNA.2006.341602

Random number generator and Monte Carlo type simulations on the CNN-UM. / Ercsey-Ravasz, Mária; Roska, T.; Néda, Zoltán.

Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. 2006. 4145842.

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

Ercsey-Ravasz, M, Roska, T & Néda, Z 2006, Random number generator and Monte Carlo type simulations on the CNN-UM. in Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications., 4145842, 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006, Istanbul, Turkey, 8/28/06. https://doi.org/10.1109/CNNA.2006.341602
Ercsey-Ravasz M, Roska T, Néda Z. Random number generator and Monte Carlo type simulations on the CNN-UM. In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. 2006. 4145842 https://doi.org/10.1109/CNNA.2006.341602
Ercsey-Ravasz, Mária ; Roska, T. ; Néda, Zoltán. / Random number generator and Monte Carlo type simulations on the CNN-UM. Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. 2006.
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