id: 05688356
dt: a
an: 05688356
au: Bolvin, Hervé; Chambarel, André; Fougère, Dominique; Gladkikh, Petr
ti: Optimization of the communications between processors in a general parallel
    computing approach using the selected data technique.
so: Malyshkin, Victor (ed.), Parallel computing technologies. 7th international
    conference, PaCT 2003, Nizhni Novgorod, Russia, September 15‒19,
    2003. Proceedings. Berlin: Springer (ISBN 3-540-40673-5/pbk). Lect.
    Notes Comput. Sci. 2763, 185-196 (2003).
py: 2003
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/b11928
ab: Summary: A large variety of problems that are out of reach of single
    processor computer capabilities. Many approaches are offered today to
    get round this. Each of these has its own strengths and weaknesses : a
    compromise has to be found. We will introduce a general parallel
    computing method for engineering problems dedicated to all users. We
    have searched an easy method for code development. A technique of data
    selection (Selected Data Technique ‒ SDT) is used for the
    determination of the data dedicated to each processor. Several problems
    associated with the communication times are posed and solutions are
    proposed in accordance with the number of processors. This method is
    applied to very large CPU cost problems, particularly the unsteady
    problems or steady problems using an iterative method. So the domain of
    potential applications is very wide. The SDT-parallelization is
    performed by an expert system called AMS (Automatic Multi-grid System)
    included in the software. This new concept is a natural way for the
    standardization of parallel codes. An example is presented hereafter.
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