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Global synchronization for optimistic parallel discrete event simulation

Author:

David M. NicolAuthors Info & Claims

ACM SIGSIM Simulation Digest, Volume 23, Issue 1

Pages 27 - 34

https://doi.org/10.1145/174134.158463

Published: 01 July 1993 Publication History

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Abstract

A number of optimistic synchronization schemes for parallel simulation rely upon a global synchronization. The problem is to determine when every processor has completed all its work, and there are no messages in transit in the system that will cause more work. Most previous solutions to the problem have used distributed termination algorithms, which are inherently serial; other parallel mechanisms may be inefficient. In this paper we describe an efficient parallel algorithm derived from a common “barrier” synchronization algorithm used in parallel processing. The algorithm's principal attraction is speed, and generality—it is designed to be used in contexts more general than parallel discrete-event simulation. To establish our claim to speed, we compare our algorithm's performance with the standard barrier algorithm, and find that its additional costs are not excessive. Our experiments are conducted using up to 256 processors on the Intel Touchstone Delta.

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Cited By

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Dickens PDufour CFastook JHuschka TChick S(2016)A prototype implementation of an embedded simulation system for the study of large scale ice sheetsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042318(1781-1789)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042318
Dickens PDufour CFastook J(2018)The Scalability of Embedded Structured Grids and Unstructured Grids in Large Scale Ice Sheet Modeling on Distributed Memory Parallel Computers2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW.2018.00152(977-986)Online publication date: May-2018
https://doi.org/10.1109/IPDPSW.2018.00152
Dickens PDufour CFastook J(2016)A prototype implementation of an embedded simulation system for the study of large scale ice sheets2016 Winter Simulation Conference (WSC)10.1109/WSC.2016.7822225(1781-1789)Online publication date: Dec-2016
https://doi.org/10.1109/WSC.2016.7822225
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Global synchronization for optimistic parallel discrete event simulation

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Information

Published In

ACM SIGSIM Simulation Digest Volume 23, Issue 1

July 1993

164 pages

ISSN:0163-6103

DOI:10.1145/174134

Editors:
Rajive Bagrodia
Univ. of California, Los Angeles
,
David Jefferson
Univ. of California, Los Angeles

Issue’s Table of Contents

PADS '93: Proceedings of the seventh workshop on Parallel and distributed simulation
July 1993
168 pages
ISBN:1565550552
DOI:10.1145/158459
Editors:
Rajive Bagrodia
Univ. of California, Los Angeles
,
David Jefferson
Univ. of California, Los Angeles

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1993

Published in SIGSIM Volume 23, Issue 1

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Cited By

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Dickens PDufour CFastook JHuschka TChick S(2016)A prototype implementation of an embedded simulation system for the study of large scale ice sheetsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042318(1781-1789)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042318
Dickens PDufour CFastook J(2018)The Scalability of Embedded Structured Grids and Unstructured Grids in Large Scale Ice Sheet Modeling on Distributed Memory Parallel Computers2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW.2018.00152(977-986)Online publication date: May-2018
https://doi.org/10.1109/IPDPSW.2018.00152
Dickens PDufour CFastook J(2016)A prototype implementation of an embedded simulation system for the study of large scale ice sheets2016 Winter Simulation Conference (WSC)10.1109/WSC.2016.7822225(1781-1789)Online publication date: Dec-2016
https://doi.org/10.1109/WSC.2016.7822225
Perumalla KPark ATipparaju V(2014)Discrete Event Execution with One-Sided and Two-Sided GVT Algorithms on 216,000 Processor CoresACM Transactions on Modeling and Computer Simulation10.1145/261156124:3(1-25)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1145/2611561
Chandrasekaran SHill M(1996)Optimistic simulation of parallel architectures using program executablesACM SIGSIM Simulation Digest10.1145/238793.23883826:1(143-150)Online publication date: 1-Jul-1996
https://dl.acm.org/doi/10.1145/238793.238838
Chandrasekaran SHill MLouchs WPreiss B(1996)Optimistic simulation of parallel architectures using program executablesProceedings of the tenth workshop on Parallel and distributed simulation10.1145/238788.238838(143-150)Online publication date: 1-Jul-1996
https://dl.acm.org/doi/10.1145/238788.238838
Chandrasekaran SHill M(1996)Optimistic Simulation of Parallel Architectures Using Program ExecutablesProceedings of Symposium on Parallel and Distributed Tools10.1109/PADS.1996.761572(143-150)Online publication date: 1996
https://doi.org/10.1109/PADS.1996.761572
Steinman JLee CWilson LNicol D(1995)Global Virtual Time and distributed synchronizationACM SIGSIM Simulation Digest10.1145/214283.21432425:1(139-148)Online publication date: 1-Jul-1995
https://dl.acm.org/doi/10.1145/214283.214324
Steinman JLee CWilson LNicol D(1995)Global Virtual Time and distributed synchronizationProceedings of the ninth workshop on Parallel and distributed simulation10.1145/214282.214324(139-148)Online publication date: 1-Jul-1995
https://dl.acm.org/doi/10.1145/214282.214324
(1995)Proceedings 9th Workshop on Parallel and Distributed Simulation (ACM/IEEE)Proceedings 9th Workshop on Parallel and Distributed Simulation (ACM/IEEE)10.1109/PADS.1995.404323(0_1)Online publication date: 1995
https://doi.org/10.1109/PADS.1995.404323
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Parallel discrete event simulation