Parallel and Grid Computing in 3D Analysis of Large Dimmension Structural Systems

  • José M. Alonso
  • Carlos de Alfonso
  • Gabriel García
  • Vicente Hernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3149)

Abstract

In this article a parallel application for the 3D structural analysis of buildings is presented. Taking into account that solving the system of linear equations is the most time-consuming phase, several parallel public domain numerical libraries, that reflect the start-of-the-art, have been tested. A timing result comparison when analyzing two medium-sized buildings is included. Besides, a Grid-based demonstrator has been developed, integrating the parallel application and taking advantage of the different resources remotely distributed in the network. The Grid demonstrator enables the simulation of a larger number of different structural alternatives, with the purpose of finding the one which better accomplishes with all the economical limitations, safety requirements, aesthetical aspects and other criteria.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Livesley, R.: Matrix Methods of Structural Analysis, 2nd edn. Pergamon Press, Oxford (1975)Google Scholar
  2. 2.
    Drummond, L., Marques, O.: The Advanced Computational Testing and Simulation Toolkit (ACTS): What Can ACTS Do for You? Technical Report LBNL- 50414, Lawrence Berkeley National Laboratory (2002) Google Scholar
  3. 3.
    Ashcraft, C., Pierce, D., Wah, D.K., Wu, J.: The Reference Manual for SPOOLES, Release 2.2: An Object Oriented Software Library for Solving Sparse Linear Systems of Equations. Boeing Shared Services Group. (1999) Google Scholar
  4. 4.
    Amestoy, P., Duff, I., L’Excellent, J.Y., Koster, J.: MUltifrontal Massive Parallel Solver (MUMPS Version 4.3) Users’ Guide (2003) Google Scholar
  5. 5.
    Joshi, M., Karypis, G., Kumar, V., Gupta, A., Gustavson, F.: PSPASES: Scalable Parallel Direct Solver Library for Sparse Symmetric Positive Definite Linear Systems. Users’s Manual (version 1.0.3). University of Minnesota. (1999) Google Scholar
  6. 6.
    Gupta, A.: WSMP:Watson Sparse Matrix Package Part I - Direct Solution of Symmetric Sparse System. Technical Report IBM Research Report RC 21886(98462), IBM (2000) Google Scholar
  7. 7.
    Balay, S., Buschelman, K., Smith, B.F., et al.: PETSc Users Manual. Technical Report ANL-95/11 - Revision 2.1.6, Argonne National Laboratory (2003) Google Scholar
  8. 8.
    Tuminaro, R.S., Heroux, M., Hutchinson, S.A., Shadid, J.N.: Official Aztec Users’s Guide. Version 2.1. Sandia National Laboratories, SAND99-8801J (1999) Google Scholar
  9. 9.
    Saad, Y., Lo, G.C., Kuznetsov, S.: PSPARSLIB Users Manual: A Portable Library of Parallel Sparse Iterative Solvers. University of Minnesota, Morgan-Stanley (New-York), Institute of Mathematics (Novosibirsk, Russia) (1998) Google Scholar
  10. 10.
    Jones, M., Plassmann, P.: BlockSolve95 Users Manual: Scalable Library Software for the Parallel Solution of Sparse Linear Systems. ANL-95/48 (1995) Google Scholar
  11. 11.
    Falgout, R.D., et al.: HYPRE: High Performance Preconditioners. User’s Manual. Version 1.6.0. Lawrence Livermore National Laboratory (2001) Google Scholar
  12. 12.
    Chow, E., Heroux, M.A.: BPKIT: Block Preconditioning Toolkit. Reference Manual. University of Minnesota. SGI/cray Research, Inc. (1996) Google Scholar
  13. 13.
    Barnard, S.T., Grote, M.J.: A Block Version of the SPAI Preconditioner. In: 9th SIAM Conf. on Parall. Proc. for Sci. Comp. (1999)Google Scholar
  14. 14.
    Karypis, G., Kumar, V.: METIS: A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices. Version 4.0. University of Minnesota (1998) Google Scholar
  15. 15.
    Schulze, J.: Towards a Tighter Coupling of Bottom-up and Top-down Sparse Matrix Ordering Methods. BIT 41, 800–841 (2001)MATHCrossRefMathSciNetGoogle Scholar
  16. 16.
    Berstis, V.: Fundamentals of Grid Computing. Technical Report IBM Redbooks Paper, IBM (2002) Google Scholar
  17. 17.
    Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. Intl. Journal Supercomputer Applications 15(3) (2001)Google Scholar
  18. 18.
    Ferreira, L., Berstis, V.: Introduction to Grid Computing with Globus. Technical report, IBM (2002) Google Scholar
  19. 19.
    Unicore: Unicore Client User Guide (2004) Google Scholar
  20. 20.
    GridSystems: Overview to InnerGrid (2003) Google Scholar
  21. 21.
    Avaki: Avaki Data Grid 4.0 Software (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • José M. Alonso
    • 1
  • Carlos de Alfonso
    • 1
  • Gabriel García
    • 1
  • Vicente Hernández
    • 1
  1. 1.Departamento de Sistemas Informáticos y ComputaciónUniversidad Politécnica de ValenciaValenciaSpain

Personalised recommendations