Abstract
This paper introduces the ideas that underly the data-parallel language High Performance Fortran (HPF). It reviews HPF's key language elements: elemental array parallelism and data mapping pragmas; the relationship between data mapping and implicit communication; the FORALL and INDEPENDENT loop mechanisms for more general data parallelism; and the standard HPF library, which adds to the richness of the array operators at the disposal of the HPF programmer. It reviews the important problem of data mapping at the procedure call interface. It also discusses interoperability with other programming models, including SPMD (single-program, multiple-data) programming.
The latter part of the paper is a review of the development of version 2.0 of HPF. The extended language, under development in 1996, includes a richer data mapping capability; an extension to the INDEPENDENT loop that allows reduction operations in the loop range; a means for directing the mapping of computation as well as data; and a way to specify concurrent execution of several parallel tasks on disjoint subsets of processors.
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© 1996 Springer-Verlag Berlin Heidelberg
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Schreiber, R.S. (1996). An introduction to HPF. In: Perrin, GR., Darte, A. (eds) The Data Parallel Programming Model. Lecture Notes in Computer Science, vol 1132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61736-1_41
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DOI: https://doi.org/10.1007/3-540-61736-1_41
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