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Automatic generation of efficient array redistribution routines for distributed memory multicomputers

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2 Author(s)
Ramasulamy, S. ; Center for Reliable & High Performance Comput., Illinois Univ., Urbana, IL, USA ; Banerjee, P.

Appropriate data distribution has been found to be critical for obtaining good performance on Distributed Memory Multicomputers like the CM-5, Intel Paragon and IBM SP-1. It has also been found that some programs need to change their distributions during execution for better performance (redistribution). This work focuses on automatically generating efficient routines for redistribution. We present a new mathematical representation for regular distributions called PITFALLS and then discuss algorithms for redistribution based on this representation. A significant contribution of this work is the ability to handle arbitrary source and target processor sets while performing redistribution; another is the ability to handle arbitrary dimensionality for the array being redistributed in a sealable manner. The results presented show low overheads for our redistribution algorithm as compared to naive runtime methods

Published in:

Frontiers of Massively Parallel Computation, 1995. Proceedings. Frontiers '95., Fifth Symposium on the

Date of Conference:

6-9 Feb 1995

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