Article

Free access

Global synchronization for optimistic parallel discrete event simulation

Author:

David M. NicolAuthors Info & Claims

PADS '93: Proceedings of the seventh workshop on Parallel and distributed simulation

Pages 27 - 34

https://doi.org/10.1145/158459.158463

Published: 01 July 1993 Publication History

PDF eReader

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.

References

[1]

T.S. Axelrod. Effects of synchronization barriers on multiprocessor performance. Parallel Computing, 3(2):129-140, May 1986.

Digital Library

Google Scholar

[2]

R. Ayani. A parallel simulation scheme based on distances between objects. In Distributed Simulation 1989, pages 113-118. SCS Simulation Series, 1989.

Google Scholar

[3]

Sigurd L. Lillevik. The Touchstone 30 gigaflop DELTA prototype, in Distributed Memory Computer Conference 91, pages 671-677. IEEEPRESS, April 1991.

Crossref

Google Scholar

[4]

B.D. Lubachevsky. Efficient distributed eventdriven simulations of multiple-loop networks. Communications of the A CM, 32(1):111-123, 1989.

Digital Library

Google Scholar

[5]

D.M. Nicol. The cost of conservative synchronization in parallel discrete-event simulations. ICASE Technical report 90-20. To appear in Journal of the A CM, 1993.

Digital Library

Google Scholar

[6]

Peter L. Reiher, Richard Fujlmoto, Steven Bellenot, and David Jefferson. Cancellation strategies in optimistic execution systems. In Distributed Simulation 1990, pages 112-121. Society for Computer Simulation, 1990.

Google Scholar

[7]

L.M. Sokol, D.P. Briscoe, and A.P. Wieland. MTW:a strategy for scheduling discrete simulation events for concurrent execution. In Distributed Simulation 1988, pages 34--42. SCS Simulation Series, 1988.

Google Scholar

[8]

Jianjian Song. A dlstributed-termination experiment on a mesh-connected array of processors. Parallel Computing, 18(2):779-791, July 1992.

Crossref

Google Scholar

[9]

J.S. Steinman. Speedes: Synchronous parallel environment for emulation and discrete event simulation. In Advances in Parallel and Distributed Simulation, volume 23, pages 95-103. SCS Simulation Series, Jan. 1991.

Google Scholar

[10]

S. Turner and M. Qu. Performance evaluation of the bounded time warp algorithm. In Proceedings o.f the 6th Workshop on Parallel and Distributed Simulation, volume 24, pages 117-126. SCS Simulation Series, 1992.

Google Scholar

Cited By

View all

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
Show More Cited By

Index Terms

Global synchronization for optimistic parallel discrete event simulation

Recommendations

Parallel discrete event simulation
Special issue on simulation

Parallel discrete event simulation (PDES), sometimes called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From ...
Global synchronization for optimistic parallel discrete event simulation

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 ...
Discrete-event simulation on a massively parallel computer

Comments

Information & Contributors

Information

Published In

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

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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1993

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

PADS93

Sponsor:

SCS
SIGSIM
IEEE-CS\TCSIM

PADS93: Workshop on Parellel and Distributed Simulation

May 16 - 19, 1993

California, San Diego, USA

Acceptance Rates

Overall Acceptance Rate 398 of 779 submissions, 51%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
422
Total Downloads

Downloads (Last 12 months)77
Downloads (Last 6 weeks)15

Reflects downloads up to 13 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

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
Steinman JLee CWilson LNicol D(1995)Global virtual time and distributed synchronizationProceedings 9th Workshop on Parallel and Distributed Simulation (ACM/IEEE)10.1109/PADS.1995.404307(139-148)Online publication date: 1995
https://doi.org/10.1109/PADS.1995.404307
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Parallel discrete event simulation

Global synchronization for optimistic parallel discrete event simulation

Discrete-event simulation on a massively parallel computer