Efficient iteration in data-parallel programs with irregular and dynamically distributed data structures:

Abstract: "To implement an efficient data-parallel program on a non-shared memory MIMD multicomputer, data and computations must be properly partitioned to achieve good load balance and locality of reference. Programs with irregular data reference patterns often require irregular partitions. Al...

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Bibliographische Detailangaben
1. Verfasser: Littlefield, Richard J. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Seattle, Wash. 1990
Schriftenreihe:University of Washington <Seattle, Wash.> / Department of Computer Science: Technical report 90,2,6
Schlagworte:
Zusammenfassung:Abstract: "To implement an efficient data-parallel program on a non-shared memory MIMD multicomputer, data and computations must be properly partitioned to achieve good load balance and locality of reference. Programs with irregular data reference patterns often require irregular partitions. Although good partitions may be easy to determine, they can be difficult or impossible to implement in programming languages that provide only regular data distributions, such as blocked or cyclic arrays. We are developing Onyx, a programming system that provides a shared memory model of distributed data structures and extends the concept of data distribution to include irregular and dynamic distributions.
Beschreibung:16 S.

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