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Load Balancing for the Numerical Solution of the Navier-Stokes Equations

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Applied Parallel Computing. State of the Art in Scientific Computing (PARA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4699))

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Abstract

In this paper, we simulate the performance of a load balancing scheme. In particular, we study the application of the Extrapolated Diffusion(EDF) method for the efficient parallelization of a simple atmospheric model. It involves the numerical solution of the steady state Navier-Stokes(NS) equations in the horizontal plane and random load values, corresponding to the physics computations, in the vertical plane. For the numerical solution of NS equations, we use the local Modified Successive Overrelaxation (LMSOR) method with local parameters thus avoiding the additional cost caused by the global communication of the involved parameter ω in the classical SOR method. We have implemented an efficient domain decomposition technique by using a larger number of processors in the areas of the domain with heavier work load. With our balancing scheme, a gain of approximately 45% in execution time is achieved, in certain cases.

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References

  1. Boillat, J.E.: Load balancing and poisson equation in a graph. Concurrency: Practice and Experience 2, 289–313 (1990)

    Article  Google Scholar 

  2. Botta, E.F., Veldman, A.E.P.: On local relaxation methods and their application to convection-diffusion equations. J. Comput. Phys. 48, 127–149 (1981)

    Article  MathSciNet  Google Scholar 

  3. Boukas, L.A., Missirlis, N.M.: The Parallel Local Modified SOR for nonsymmetric linear systems. Inter. J. Computer Math. 68, 153–174 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  4. Cybenko, G.: Dynamic load balancing for distributed memory multi-processors. Journal of Parallel and Distributed Computing 7, 279–301 (1989)

    Article  Google Scholar 

  5. Diekmann, R., Muthukrishnan, S., Nayakkankuppam, M.V.: Engineering diffusive load balancing algorithms using experiments. In: Lüling, R., Bilardi, G., Ferreira, A., Rolim, J.D.P. (eds.) IRREGULAR 1997. LNCS, vol. 1253, pp. 111–122. Springer, Heidelberg (1997)

    Google Scholar 

  6. Diekmann, R., Frommer, A., Monien, B.: Efficient schemes for nearest neighbour load balancing. Parallel Computing 25, 789–812 (1999)

    Article  MathSciNet  Google Scholar 

  7. Ehrlich, L.W.: An Ad-Hoc SOR Method. J. Comput. Phys. 42, 31–45 (1981)

    Article  Google Scholar 

  8. Ehrlich, L.W.: The Ad-Hoc SOR method: A local relaxation scheme. In: Elliptic Problem Solvers II, pp. 257–269. Academic Press, New York (1984)

    Google Scholar 

  9. Elsasser, R., Monien, B., Schamberger, S., Rote, G.: Toward optimal diffusion matrices. In: International Parallel and Distributed Processing Symposium, IEEE Computer Society Press, Los Alamitos (2002)

    Google Scholar 

  10. Farhat, C., Maman, N., Brown, G.: Mesh partitioning for implicit computations via iterative domain decomposition: Impact and optimization of the subdomain aspect ratio. Int. J. Numer. Meth. in Eng. 38, 989–1000 (1995)

    Article  MATH  Google Scholar 

  11. Hendrickson, B., Leland, R.: An improved spectral graph partitioning algorithm for mapping parallel computations. SIAM J. Sci. Comput. 16(2), 452–469 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  12. Karagiorgos, G., Missirlis, N.M., Tzaferis, F.: Dynamic Load Balancing for Atmospheric Models. In: Zwieflhofer, W., Kreitz, N. (eds.) Proceedings of the Ninth ECMWF Workshop on the use of High Performance Computing in Meteorology, Developments in teracomputing, November 13-17, 2000, pp. 214–226. World Scientific, Singapore (2000)

    Google Scholar 

  13. Karagiorgos, G., Missirlis, N.M.: Iterative Load Balancing Schemes for Air Pollution Models. In: Margenov, S., Waśniewski, J., Yalamov, P. (eds.) LSSC 2001. LNCS, vol. 2179, pp. 291–298. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  14. Karagiorgos, G., Missirlis, N.M.: Accelerated diffusion algorithms for dynamic load balancing. Inform. Proc. Letters 84, 61–67 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  15. Karagiorgos, G., Missirlis, N.M.: Fourier analysis for solving the load balancing problem. Foundations of Computing and Decision Sciences 27(3) (2002)

    Google Scholar 

  16. Karagiorgos, G., Missirlis, N.M.: Optimal diffusion for load balancing in weighted torus (submitted)

    Google Scholar 

  17. Karagiorgos, G., Missirlis, N.M.: Fast diffusion load balancing algorithms on torus graphs. In: Nagel, W.E., Walter, W.V., Lehner, W. (eds.) Euro-Par 2006. LNCS, vol. 4128, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  18. Kuo, C.-C.J., Levy, B.C., Musicus, B.R.: A local relaxation method for solving elliptic PDE’s on mesh-connected arrays. SIAM J. Sci. Statist. Comput. 8, 530–573 (1987)

    MathSciNet  Google Scholar 

  19. Muthukrishnan, S., Ghosh, B., Schultz, M.H.: First and second order Diffusive methods for rapid, coarse, distributed load balancing. Theory of Comput. Systems 31, 331–354 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  20. Varga, R.S.: Matrix Iterative Analysis. Prentice-Hall, Englewood Cliffs (1962)

    Google Scholar 

  21. Xu, C.Z., Lau, F.C.M.: Optimal parameters for load balancing the diffusion method in k-ary n-cube networks. Infor. Proc. Letters 4, 181–187 (1993)

    Article  MathSciNet  Google Scholar 

  22. Xu, C.Z., Lau, F.C.M.: Load balancing in parallel computers: Theory and Practice. Kluwer Academic Publishers, Dordrecht (1997)

    Google Scholar 

  23. Young, D.M.: Iterative Solution of Large Linear Systems. Academic Press, New York (1971)

    MATH  Google Scholar 

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Bo Kågström Erik Elmroth Jack Dongarra Jerzy Waśniewski

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Karagiorgos, G., Katsafados, P., Kontarinis, A., Missirlis, N.M., Tzaferis, F. (2007). Load Balancing for the Numerical Solution of the Navier-Stokes Equations. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_93

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  • DOI: https://doi.org/10.1007/978-3-540-75755-9_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75754-2

  • Online ISBN: 978-3-540-75755-9

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