Abstract
We describe a Maple package named D-NODE (Distributed Numerical solver for ODEs), implementing a number of difference methods for initial value problems. The distribution of the computational effort follows the idea of parallelism across method. We have benchmark the package in a cluster environment. Distributed Maple ensures the inter-processor communications. Numerical experiments show that parallel implicit Runge-Kutta methods can attain speed-ups close to the ideal values when the initial value problem is sti. and has between ten and hundred equations. The stage equations of the implicit methods are solved on different processors using Maple’s facilities.
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References
Cong, N., A Parallel DIRKMethod for Stiff Initial-Value Problems. J. Comp. Appl. Math. 54 (1994), 121–127.
Franco, J. M., Gomez, I., Two Three-Parallel and Three-Processor SDIRK Methods for Sti. Initial-Value Problems, J. Comp. Appl. Math. 87 (1997), 119–134.
Lioen, W.M., de Swart, J. J. B., van derVeen, W. A.,Test Set for IVP Solvers, Report NM-R9615, CWI, August 1996, http://www.cwi.nl/cwi/projects/IVPtestest.
Lioen, W. M., On the diagonal approximation of full matrices, J. Comp. Appl. Math. 75 (1996), 35–42.
Iserles, A., Nørsett, S. P., On the Theory of Parallel Runge-Kutta Methods. IMA J. Numer. Anal. 10 (1990), 463–488.
Jackson, K. R., Nørsett, S. P., The Potential for Parallelism in Runge-Kutta Methods, SIAM J. Numer. Anal. 32, No. 1 (1995), 49–82.
Kahaner, D. K., Ng, E., Schiesser, W. E., Thompson, S., Experiments with an ODE Solver in the Parallel Solution of MOL Problems on a Shared-Memory Parallel Computer, J. Comp. Appl. Math. 38 (1991), 231–253.
Petcu, D., Implementations of Some Multiprocessor Algorithms for ODEs Using PVM. In LNCS 1332 (1997): Recent Advances in PVM and MPI, eds. M. Bubak, J. Dongarra, J. Waśniewski, Springer Verlag, Berlin, 375–382.
Petcu, D., Solving Initial Value Problems with a Multiprocessor Code. In LNCS 1662 (1999): Parallel Computing Technologies, ed. Victor Malyshkin, Springer Verlag, Berlin, 452–466.
Petcu, D., Drăgan, M., Designing an ODE Solving Environment. In LNCSE10 (2000): Advances in Software Tools for Scientific Computing, eds. H. P. Langtangen, A. M. Bruaset, E. Quak, Springer-Verlag, Berlin, 319–338.
Petcu, D., Numerical Solution of ODEs with Distributed Maple, Technical Report 00-09 (2000), Research Institute for Symbolic Computation, Linz, 12 pages.
Schreiner, W., Distributed Maple-User and Reference Manual. Technical Report 98-05 (1998), Research Institute for Symbolic Computation, Linz, and http://www.risc.uni-linz.ac.at/software/distmaple.
Shampine, L. F., Reichelt, M. W., The Matlab ODE Suite. SIAM J. Sci. Comput. 18, No. 1 (1997), 1–22.
Sommeijer, B. P., Parallel Iterated Runge-Kutta Methods for Sti. Ordinary Differential Equations. J. Comp. Appl. Math. 45 (1993), 151–168.
Van der Houwen, P. J., Parallel Step-by-Step Methods. Appl. Num. Math. 11 (1983), 69–81.
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Petcu, D. (2001). Numerical Solution of ODEs with Distributed Maple. In: Vulkov, L., Yalamov, P., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2000. Lecture Notes in Computer Science, vol 1988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45262-1_79
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DOI: https://doi.org/10.1007/3-540-45262-1_79
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