In W. K. Giloi, editor, Proceedings of the International Conference on Advances in Parallel and Distributed Computing, pp 66-73, IEEE Computer Society Press, 1997.
Abstract
This paper describes the integration of nested data parallelism into Fortran
90. Unlike flat data parallelism, nested data parallelism directly provides
means for handling irregular data structures and certain forms of control
parallelism, such as divide-and-conquer algorithms, thus enabling the
programmer to express such algorithms far more naturally. Existing work deals
with nested data parallelism in a functional environment, which does help avoid
a set of problems, but makes efficient implementations more
complicated. Moreover, functional languages are not readily accepted by
programmers used to languages, such as Fortran and C, which are currently
predominant in programming parallel machines. In this paper, we introduce the
imperative data-parallel language Fortran 90V and give an overview of its
implementation.
PostScript version (8 pages)
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