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Scientific Programming
Volume 4, Issue 1, Pages 1-21
http://dx.doi.org/10.1155/1995/278064

The Fortran-P Translator: Towards Automatic Translation of Fortran 77 Programs for Massively Parallel Processors

Matthew O'keefe,1 Terence Parr,1 B. Kevin Edgar,1 Steve Anderson,1 Paul Woodward,1 and Hank Dietz2

1Army High Performance Computing Research Center, University of Minnesota, Minneapolis, MN 55415, USA
2School of Electrical Engineering, Purdue University, West Lafayette, IN 47907, USA

Received 9 February 1994; Accepted 9 August 1994

Copyright © 1995 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Massively parallel processors (MPPs) hold the promise of extremely high performance that, if realized, could be used to study problems of unprecedented size and complexity. One of the primary stumbling blocks to this promise has been the lack of tools to translate application codes to MPP form. In this article we show how applications codes written in a subset of Fortran 77, called Fortran-P, can be translated to achieve good performance on several massively parallel machines. This subset can express codes that are self-similar, where the algorithm applied to the global data domain is also applied to each subdomain. We have found many codes that match the Fortran-P programming style and have converted them using our tools. We believe a self-similar coding style will accomplish what a vectorizable style has accomplished for vector machines by allowing the construction of robust, user-friendly, automatic translation systems that increase programmer productivity and generate fast, efficient code for MPPs.