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Part of book or chapter of book . 1991 . Peer-reviewed

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Data Parallel Algorithms

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 1991Publisher:Springer Berlin Heidelberg

Authors: Anthony N. Burkitt; Dieter W. Heermann;

doi: 10.1007/978-3-642-76265-9_8

Data Parallel Algorithms

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Abstract

There are a number of situations where data parallelization is to be preferred over geometric parallelization. An example of such a situation that we have already encountered is that of a system with long-range interactions, such as Coulombic or gravitational interactions. In such a system all atoms or particles inside the computational cell interact with each other. A geometric partitioning would neither reduce the complexity nor spread the workload evenly among the processors, since all parts of the system must communicate with each other.

Related Organizations

Heidelberg University
Germany
University of Wuppertal
Germany

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