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Parallelism and efficiency in discrete-event simulation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
2015 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Discrete-event models depict systems where a discrete state is repeatedly altered by instantaneous changes in time, the events of the model. Such models have gained popularity in fields such as Computational Systems Biology or Computational Epidemiology due to the high modeling flexibility and the possibility to easily combine stochastic and deterministic dynamics. However, the system size of modern discrete-event models is growing and/or they need to be simulated at long time periods. Thus, efficient simulation algorithms are required, as well as the possibility to harness the compute potential of modern multicore computers. Due to the sequential design of simulators, parallelization of discrete event simulations is not trivial. This thesis discusses event-based modeling and sensitivity analysis and also examines ways to increase the efficiency of discrete-event simulations and to scale models involving deterministic and stochastic spatial dynamics on a large number of processor cores.

Place, publisher, year, edition, pages
Uppsala University, 2015.
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2015-004
National Category
Computational Mathematics Computer Science
Research subject
Scientific Computing
Identifiers
URN: urn:nbn:se:uu:diva-264756OAI: oai:DiVA.org:uu-264756DiVA: diva2:861446
Supervisors
Projects
UPMARCeSSENCE
Available from: 2015-10-14 Created: 2015-10-16 Last updated: 2017-08-31Bibliographically approved
List of papers
1. Sensitivity estimation and inverse problems in spatial stochastic models of chemical kinetics
Open this publication in new window or tab >>Sensitivity estimation and inverse problems in spatial stochastic models of chemical kinetics
2015 (English)In: Numerical Mathematics and Advanced Applications: ENUMATH 2013, Springer, 2015, 519-527 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2015
Series
Lecture Notes in Computational Science and Engineering, 103
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-237184 (URN)10.1007/978-3-319-10705-9_51 (DOI)978-3-319-10704-2 (ISBN)
Conference
ENUMATH 2013
Projects
eSSENCEUPMARC
Available from: 2014-10-31 Created: 2014-11-28 Last updated: 2017-10-22Bibliographically approved
2. Fast event-based epidemiological simulations on national scales
Open this publication in new window or tab >>Fast event-based epidemiological simulations on national scales
2016 (English)In: The international journal of high performance computing applications, ISSN 1094-3420, E-ISSN 1741-2846, Vol. 30, 438-453 p.Article in journal (Refereed) Published
National Category
Computer Science Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-264751 (URN)10.1177/1094342016635723 (DOI)000387763100005 ()
Projects
UPMARCeSSENCE
Available from: 2016-04-11 Created: 2015-10-16 Last updated: 2017-12-01Bibliographically approved
3. Efficient inter-process synchronization for parallel discrete event simulation on multicores
Open this publication in new window or tab >>Efficient inter-process synchronization for parallel discrete event simulation on multicores
2015 (English)In: Proc. 3rd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, New York: ACM Press, 2015, 183-194 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2015
National Category
Computer Science
Identifiers
urn:nbn:se:uu:diva-260199 (URN)10.1145/2769458.2769476 (DOI)978-1-4503-3583-6 (ISBN)
Conference
SIGSIM-PADS 2015
Projects
UPMARC
Available from: 2015-06-10 Created: 2015-08-17 Last updated: 2017-10-22Bibliographically approved

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Bauer, Pavol

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