Abstract
We propose a technique of mapping normalization which reduces the variety of data and computational mapping representation of HPF into a certain standard form. The base of the reduction is a set of equivalent transformations of an HPF program, using composition of alignment and affine transformation of data and loop indices. The mapping normalization technique was implemented in the HPF compiler fhpf, and made the succeeding processes, such as local access detection and SPMD conversion, much slimmer. The measurement result shows that performance of the MPI code generated by the fhpf compiler is fairly comparable to the one written by a skillful MPI programmer.
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Iwashita, H., Aoki, M. (2008). Mapping Normalization Technique on the HPF Compiler fhpf . In: Labarta, J., Joe, K., Sato, T. (eds) High-Performance Computing. ISHPC ALPS 2005 2006. Lecture Notes in Computer Science, vol 4759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77704-5_30
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DOI: https://doi.org/10.1007/978-3-540-77704-5_30
Publisher Name: Springer, Berlin, Heidelberg
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