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)


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.


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  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

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