Abstract
Structured Adaptive Mesh Refinement (SAMR) techniques use a hierarchy of dynamically refined grids to solve PDEs with variable resolution. Exploiting the parallelism in such codes is a complex problem and requires the grids to be efficiently distributed across the target parallel system. High Performance Fortran (HPF) is a data-parallel language that was designed with the goal of providing the user with a high-level interface for programming scientific applications, while delegating the task of generating an explicitly parallel message-passing program to the compiler. In this paper we discuss the issues that arise in using HPF for parallelizing SAMR codes.
This work was supported by the National Aeronautics and Space Administration under NASA Contract No. NASl-19480, while the author was in residence at ICASE, NASA Langley Research Center, Hampton, VA 23681.
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Mehrotra, P. (2000). Structured Adaptive Mesh Refinement using High Performance Fortran. In: Baden, S.B., Chrisochoides, N.P., Gannon, D.B., Norman, M.L. (eds) Structured Adaptive Mesh Refinement (SAMR) Grid Methods. The IMA Volumes in Mathematics and its Applications, vol 117. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1252-2_6
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DOI: https://doi.org/10.1007/978-1-4612-1252-2_6
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