High performance simulation for resonant-mass gravitational radiation antennas

  • J. F. de Ronde
  • G. D. van Albada
  • P. M. A. Sloot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1225)


In this paper the design and validation of a high performance simulation is discussed that is of critical value to the feasibility study of the GRAIL project, the aim of which is to build a gravitational radiation antenna. Two relatively simple simulation models of this antenna are shown to be too restrictive for our purposes, necessitating the development of a simulation program that utilizes an explicit finite element kernel. The computational complexity of this simulation kernel requires the power that is offered by high performance computing methodology. Therefore it is tailored for execution on parallel systems. Since it is developed from scratch, we can circumvent notorious parallel programming pitfalls that usually are present in code migration. The simulation program is validated for its physical correctness as well as its performance gain. Performance results are presented for two distributed memory parallel systems: A Parsytec PowerXplorer (32 PowerPC's) and Parsytec CC (40 PowerPC+'s).


High Performance Simulation Development from Scratch Explicit Parallel Finite Element Gravitational Radiation Antenna's 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    E. Anderson et al. LAPACK Users' Guide, second edition, 1994.Google Scholar
  2. 2.
    B.D. Kandhai, P.M.A. Sloot, and J.P. Huot. Constrained migration of an atmospheric circulation model. In B.Hertzberger H.Liddel, A.Colbrook and P.M.A. Sloot, editors, high-performance computing and networking, number 1067 in ISBN 3-540-61142-8, pages 269–275. Springer-Verlag, April 1996.Google Scholar
  3. 3.
    G. Lonsdale, J. Clinckemaillie, S. Vlachoutsis, J. F. de Ronde, P. M. A. Sloot, N. Floras, and J. Reeve. Crashworthiness simulation migration to distributed memory, mimd machines. In Conference on Supercomputing Applications in the Automotive Industries of the 26th ISATA, September 1993.Google Scholar
  4. 4.
    A.E.H. Love. A Treatise on the Mathematical Theory of Elasticity. Dover Publications, 1944.Google Scholar
  5. 5.
    H. D. Simon. Partitioning of unstructured problems for parallel processing. Computing Systems in Engineering, 2(2/3): 135–148, 1991.Google Scholar
  6. 6.
    P.M.A. Sloot. Modelling for parallel simulation: Possibilities and pitfalls, invited lecture. In Eurosim'95, Simulation congress, pages 29–44, Amsterdam, the Netherlands, 1995.Google Scholar
  7. 7.
    P.M.A. Sloot and J. Reeve. Camas-tr-2.3.7 executive report on the camas workbench. Technical report, Univerisity of Amsterdam and University of Southampton, October 1995.Google Scholar
  8. 8.
    T. M. Bell W. M. Visscher, A. Migliori and R. A. Reinert. On the normal modes of free vibration of inhomogeneous and anisotropic elastic objects. Journal of the Acoustic Society America, 90(4):2154–2162, October 1991.Google Scholar
  9. 9.
    O.C. Zienkiewicz and R.L. Taylor. The Finite Element Method. McGraw-Hill Book company, 1994.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • J. F. de Ronde
    • 1
  • G. D. van Albada
    • 1
  • P. M. A. Sloot
    • 1
  1. 1.Department of Mathematics and Computer ScienceUniversity of AmsterdamSJ Amsterdam

Personalised recommendations