Using coordination to parallelize sparse-grid methods for 3-D CFD problems

K. Everaars, B. Koren

    Research output: Contribution to journalArticleAcademicpeer-review

    18 Citations (Scopus)
    1 Downloads (Pure)


    In this paper, we investigate the good parallel computing properties of sparse-grid solution techniques. To this end, an existing sequential computational fluid dynamics (CFD) code for a standard 3-D problem from computational aerodynamics is restructured into a parallel application. The restructuring is organized according to a master/worker protocol. The coordinator modules developed thereby are implemented in the coordination language Manifold and are applicable to other problems than the present CFD problem only. Performance results are given for both the sequential and the parallel versions of the code. The results are promising. The paper contributes to the state-of-the-art in improving the efficiency of large-scale computations. We also present a theoretical analysis of speed-up through parallelization in a multi-user single-machine environment.
    Original languageEnglish
    Pages (from-to)1081-1106
    JournalParallel Computing
    Issue number7
    Publication statusPublished - 1998


    Dive into the research topics of 'Using coordination to parallelize sparse-grid methods for 3-D CFD problems'. Together they form a unique fingerprint.

    Cite this