research-article

Simplifying parallel and distributed simulation with the DUP system

Authors:

Nathan S. Evans,

Chris GauthierDickey,

Christian Grothoff,

Krista Grothoff,

Jeff Keene,

Matthew J. RutherfordAuthors Info & Claims

SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

Article No.: 154, Pages 1 - 8

https://doi.org/10.1145/1878537.1878698

Published: 11 April 2010 Publication History

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Abstract

This paper presents how the DUP System, a straightforward POSIX-compatible framework that enables programming-language-agnostic parallel and distributed stream processing, can be used to facilitate parallel and distributed simulations. Specifically, we describe two ways of using DUP to utilize available resources for efficient simulation: (1) a straightforward technique for parallelizing multiple runs of an existing simulation program with minimal changes, and (2) FiDES, a Discrete-Event Simulation (DES) framework built atop DUP that provides a simple, yet powerful, means of implementing a parallel and/or distributed DES. We then describe a toolset for profiling, debugging and visualization that aids the development of DUP simulations. To support these claims, we present various performance benchmarks that collectively demonstrate how DUP and FiDES can make high-performance simulation accessible to everyone.

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https://doi.org/10.1109/QoSA.2016.8

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SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

April 2010

1726 pages

ISBN:9781450300698

General Chairs:
Robert McGraw
RAM Laboratories, Inc
,
Eric Imsand
Auburn University
,
Program Chair:
Michael J. Chinni
US Army - RDECOM - ARDEC

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 11 April 2010

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Freiberg OPalsberg JEslamimehr M(2016)Retargetable Communication for Distributed Programs2016 12th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)10.1109/QoSA.2016.8(21-30)Online publication date: Apr-2016
https://doi.org/10.1109/QoSA.2016.8

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Performance and Granularity Control in the SPaDES Parallel Simulation System

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