Article

An Algorithm Selection Approach for Simulation Systems

Authors:

Jan Himmelspach,

Adelinde M. UhrmacherAuthors Info & Claims

PADS '08: Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation

Pages 91 - 98

https://doi.org/10.1109/PADS.2008.9

Published: 03 June 2008 Publication History

Abstract

No simulation algorithm will deliver best performance under all circumstances, so simulation systems often offer execution alternatives to choose from. This leads to another problem: how is the user supposed to know which algorithm to select? The need for an automated selection mechanism is often neglected, as many simulation systems are focused on specific applications or modeling formalisms and therefore have a limited number of expert users. In general-purpose simulation systems like JAMES II, an 'intelligent' selection mechanism could help to increase the overall performance, especially when users have limited knowledge of the underlying algorithms and their implementation(s)(which is almost always the case). We describe an approach to integrate algorithm selection methods with such systems. Its effectiveness is illustrated in conjunction with the 'plug 'n simulate' approach of JAMES II.

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Cited By

Marotta RPellegrini AAndelfinger P(2024)Follow the Leader: Alternating CPU/GPU Computations in PDESProceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3615979.3656056(47-51)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3615979.3656056
Helms TReinhardt OUhrmacher ADiallo STolk A(2015)Bayesian changepoint detection for generic adaptive simulation algorithmsProceedings of the 48th Annual Simulation Symposium10.5555/2876341.2876350(62-69)Online publication date: 12-Apr-2015
https://dl.acm.org/doi/10.5555/2876341.2876350
Himmelspach JRose OUhrmacher A(2012)Tutorial on building M&S software based on reuseProceedings of the Winter Simulation Conference10.5555/2429759.2429983(1-15)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2429983
Show More Cited By

Index Terms

An Algorithm Selection Approach for Simulation Systems
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
  2. Symbolic and algebraic manipulation
    1. Symbolic and algebraic algorithms
2. Theory of computation
  1. Design and analysis of algorithms

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Published In

cover image ACM Conferences

PADS '08: Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation

June 2008

196 pages

ISBN:9780769531595

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 June 2008

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PADS08

Sponsor:

SIGSIM

PADS08: PADS '08 - Principles of Advanced and Distributed Simulation

June 3 - 6, 2008

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PADS '08 Paper Acceptance Rate 21 of 52 submissions, 40%;

Overall Acceptance Rate 398 of 779 submissions, 51%

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Cited By

Marotta RPellegrini AAndelfinger P(2024)Follow the Leader: Alternating CPU/GPU Computations in PDESProceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3615979.3656056(47-51)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3615979.3656056
Helms TReinhardt OUhrmacher ADiallo STolk A(2015)Bayesian changepoint detection for generic adaptive simulation algorithmsProceedings of the 48th Annual Simulation Symposium10.5555/2876341.2876350(62-69)Online publication date: 12-Apr-2015
https://dl.acm.org/doi/10.5555/2876341.2876350
Himmelspach JRose OUhrmacher A(2012)Tutorial on building M&S software based on reuseProceedings of the Winter Simulation Conference10.5555/2429759.2429983(1-15)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2429983
Himmelspach JRiley GQuaglia FHimmelspach J(2012)JAMES IIProceedings of the 5th International ICST Conference on Simulation Tools and Techniques10.5555/2263019.2263048(208-210)Online publication date: 19-Mar-2012
https://dl.acm.org/doi/10.5555/2263019.2263048
Burrows SStein BFrochte JWiesner DMüller K(2011)Simulation data mining for supporting bridge designProceedings of the Ninth Australasian Data Mining Conference - Volume 12110.5555/2483628.2483647(163-170)Online publication date: 1-Dec-2011
https://dl.acm.org/doi/10.5555/2483628.2483647
Rybacki SHimmelspach JHaack FUhrmacher A(2011)WorMS- a framework to support workflows in M&SProceedings of the Winter Simulation Conference10.5555/2431518.2431602(716-727)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431602
Ewald RSchulz RUhrmacher A(2010)Selecting Simulation Algorithm Portfolios by Genetic AlgorithmsProceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation10.1109/PADS.2010.5471673(48-56)Online publication date: 17-May-2010
https://dl.acm.org/doi/10.1109/PADS.2010.5471673
Wang BYao YHimmelspach JEwald RUhrmacher ADunkin AIngalls R(2009)Experimental analysis of logical process simulation algorithms in JAMES IIWinter Simulation Conference10.5555/1995456.1995619(1167-1179)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995619
Ewald RUhrmacher ADunkin AIngalls R(2009)Automating the runtime performance evaluation of simulation algorithmsWinter Simulation Conference10.5555/1995456.1995608(1079-1091)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995608
Uhrmacher ASchulz HSchumann HSchwabe LTimmermann DStea GMairesse JMendes J(2009)Regenerative systemsProceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools10.4108/ICST.VALUETOOLS2009.7907(1-10)Online publication date: 20-Oct-2009
https://dl.acm.org/doi/10.4108/ICST.VALUETOOLS2009.7907
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