Abstract
In this paper, we present a new parallel Fortran extension called mpF. The language based on both data and task parallelism allows explicit specification of data and computations distribution. We discuss some reasons for the language design and demonstrate the basic mpF features on an example of the parallel matrix multiplication algorithm SUMMA. The mpF implementation is compared with its MPI counterpart.
This research is supported by Computational and Information Aspects of Solving Large Problems program of the Division of Mathematical Sciences of the Russian Academy of Sciences.
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Kalinov, A., Ledovskikh, I., Posypkin, M., Levchenko, Z., Chizhov, V. (2005). An Implementation of the Matrix Multiplication Algorithm SUMMA in mpF. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2005. Lecture Notes in Computer Science, vol 3606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535294_37
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DOI: https://doi.org/10.1007/11535294_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28126-9
Online ISBN: 978-3-540-31826-2
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