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An Evaluation of Partition Granularity in Exascale Parallel Simulations

Authors:
Elvis Sze-Yeung Liu

Keywords: Exascale Simulation Systems, Interest Management, Data Distribution Management

Abstract:
This paper is concerned with simulation technologies for the next generation high-performance computing systems that will operate at ExaFLOP (exascale). As the scale of computer simulations grows in terms of participants and simulated entities, using data filtering schemes to reduce the amount of data communication becomes increasingly important for exascale simulation systems. This paper present a parallel data filtering algorithm, which divides the workload of filtering process across multiple processors. It also presents an evaluation on the optimal partition granularity of the parallel algorithm, which ensures an optimal use of computational resources in the simulation system.

Pages: 43 to 48

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-310-0

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013