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Abstract

This paper describes a preprocessor developed for supporting distributed arrays on parallel machines. The goal is to support Fortran90 like array operations on arrays that have been distributed using general, user defined mappings. To support both general mapping functions and efficient implementation of array operations, the user programs applications at two distinct levels. There is both a high level view where the programmer does most of the programming, and a low level where the user defines how the high level code is to be implemented on a specific target machine. The key to generating efficient runtime code while keeping flexible support for different types of data distributions is to incorporate the low level code into the high level code at compile time. This paper describes the operations performed by the preprocessor and how the user defines mapping functions.

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References

  1. Rogers, A. and Pingali, K. Process Decomposition Through Locality of Reference. Proceedings of the SIGPLAN Conference on Programming Language Design and Implementation,Jun 1989, pp. 69–80.

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  2. Koelbel, C., Mehrotra, P., and Van Rosendale, J. Supporting Shared Data Structures on Distributed Memory Architecture. Conf. on Principles and Practice of Parallel Processing, Mar. 1990.

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  3. Rosing, M., Schnabel, R., and Weaver, R. The DINO Parallel Programming Language. Journal of Parallel and Distributed Computing, Sep 1991, 13(9), pp 30–42.

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© 1996 Springer Science+Business Media New York

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Rosing, M. (1996). User Defined Compiler Support for Constructing Distributed Arrays. In: Szymanski, B.K., Sinharoy, B. (eds) Languages, Compilers and Run-Time Systems for Scalable Computers. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2315-4_10

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  • DOI: https://doi.org/10.1007/978-1-4615-2315-4_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5979-1

  • Online ISBN: 978-1-4615-2315-4

  • eBook Packages: Springer Book Archive

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