1.
Dascalu, M.; Franti, E.; Hascsi, Z.
Hardware version for two-dimensional cellular automata Proceedings Article
In: 1997 International Semiconductor Conference 20th Edition. CAS '97 Proceedings, pp. 597-600 vol.2, 1997.
Abstract | Links | BibTeX | Tags: Hardware;Concurrent computing;Computational modeling;Lattices;Research and development;Real time systems;Mathematical model;Automata;High performance computing;Clocks
@inproceedings{651332,
title = {Hardware version for two-dimensional cellular automata},
author = {M. Dascalu and E. Franti and Z. Hascsi},
doi = {10.1109/SMICND.1997.651332},
year = {1997},
date = {1997-10-01},
booktitle = {1997 International Semiconductor Conference 20th Edition. CAS '97 Proceedings},
volume = {2},
pages = {597-600 vol.2},
abstract = {In this paper we propose a hardware version for two-dimensional cellular automata. Since cellular automata are parallel systems containing a large number of simple processing elements, their hardware version is necessary for their real-time study and applications. A cellular automata chip is described both at the architectural and cell level. The paper outlines the main functions of the cellular automata chip and describes how they operate. We also present some quantitative aspects that determine the chip dimension. The chip can be succesfully used for experiments with large CA implying long-time evolution.},
keywords = {Hardware;Concurrent computing;Computational modeling;Lattices;Research and development;Real time systems;Mathematical model;Automata;High performance computing;Clocks},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper we propose a hardware version for two-dimensional cellular automata. Since cellular automata are parallel systems containing a large number of simple processing elements, their hardware version is necessary for their real-time study and applications. A cellular automata chip is described both at the architectural and cell level. The paper outlines the main functions of the cellular automata chip and describes how they operate. We also present some quantitative aspects that determine the chip dimension. The chip can be succesfully used for experiments with large CA implying long-time evolution.