A high performance simulator of the Immune Response

Bernaschi, Massimo and Castiglione, Filippo and Succi, Sauro (1999) A high performance simulator of the Immune Response.
Published in: Future Generation Computer System Vol. 15 (3). pp. 333-342.

Abstract

The application of concepts and methods of statistical mechanics to biological problems is one of the most promising frontiers of computational physics. For instance Cellular Automata (CA), i.e. fully discrete dynamical systems evolving according to boolean laws, appear to be extremely well suited to the simulation of the immune system dynamics. A prominent example of immunological CA is represented by the Celada-Seiden automaton, that has proven capable of providing several new insights into the dynamics of the immune system response. In the present paper we describe a parallel version of the Celada-Seiden automaton. Details on the parallel implementation as well as performance data on the IBM SP2 parallel platform are presented and commented on.


Actions:
Download: [img] Postscript
Download (159kB) | Preview
Editorial actions: View Item View Item (Login required)
Content information:
Item Type: Article
Citations: 10 (Google Scholar) | 5 (Web of Science)
Uncontrolled Keywords: Celada-Seiden model cellular automata immune system parallel computing population dynamics
Subjects:
  • 92-XX Biology and other natural sciences > 92Dxx Genetics and population dynamics > 92D25 Population dynamics (general)

  • 65-XX Numerical analysis > 65Yxx Computer aspects of numerical algorithms > 65Y05 Parallel computation

    		•
    Divisions: Institute of Computer Science > Computer Science Department - Prof. Dr. Schrader
    Mathematical Institute > Prof. Dr. Faigle
    Related URLs:
    Deposit Information:
    ZAIK Number: zaik1999-345
    Depositing User: Archive Admin
    Date Deposited: 02 Apr 2001 00:00
    Last Modified: 16 Jan 2012 14:53
    URI: http://e-archive.informatik.uni-koeln.de/id/eprint/345