Load-sharing policies in parallel simulation of agent-based demographic models

Alessandro Pellegrini; Cristina Montañola-Sales; Francesco Quaglia; Josep Casanovas-García

doi:10.1007/978-3-319-58943-5_27

Load-sharing policies in parallel simulation of agent-based demographic models

Alessandro Pellegrini, Cristina Montañola-Sales, Francesco Quaglia, Josep Casanovas-García

Research output: Book chapter › Conference contribution › peer-review

Abstract

Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models. This raises the need for runtime environments able to fully exploit hardware parallelism, while jointly offering ABS-suited programming abstractions. In this paper, we target last-generation Parallel Discrete Event Simulation (PDES) platforms for multicore systems. We discuss a programming model to support both implicit (in-place access) and explicit (message passing) interactions across concurrent Logical Processes (LPs). We discuss different load-sharing policies combining event rate and implicit/explicit LPs’ interactions. We present a performance study conducted on a synthetic test case, representative of a class of agent-based models.

Original language	English
Title of host publication	Euro-par 2016: Parallel Processing Workshops
Subtitle of host publication	Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers
Editors	Pierre-Francois Dutot, Frederic Desprez
Publisher	Springer Nature
Pages	334-346
Number of pages	13
Volume	10104
ISBN (Electronic)	978-3-319-58943-5
ISBN (Print)	9783319589428
DOIs	https://doi.org/10.1007/978-3-319-58943-5_27
Publication status	Published - 2017
Externally published	Yes
Event	22nd International European Conference on Parallel and Distributed Computing (Euro-Par) - Grenoble, France Duration: 22 Aug 2016 → 26 Aug 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10104 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International European Conference on Parallel and Distributed Computing (Euro-Par)
Country/Territory	France
City	Grenoble
Period	22/08/16 → 26/08/16

Access to Document

10.1007/978-3-319-58943-5_27Licence: Unspecified

Cite this

Pellegrini, A., Montañola-Sales, C., Quaglia, F., & Casanovas-García, J. (2017). Load-sharing policies in parallel simulation of agent-based demographic models. In P.-F. Dutot, & F. Desprez (Eds.), Euro-par 2016: Parallel Processing Workshops: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers (Vol. 10104, pp. 334-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10104 LNCS). Springer Nature. https://doi.org/10.1007/978-3-319-58943-5_27

Pellegrini, Alessandro ; Montañola-Sales, Cristina ; Quaglia, Francesco et al. / Load-sharing policies in parallel simulation of agent-based demographic models. Euro-par 2016: Parallel Processing Workshops: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers. editor / Pierre-Francois Dutot ; Frederic Desprez. Vol. 10104 Springer Nature, 2017. pp. 334-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Load-sharing policies in parallel simulation of agent-based demographic models",

abstract = "Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models. This raises the need for runtime environments able to fully exploit hardware parallelism, while jointly offering ABS-suited programming abstractions. In this paper, we target last-generation Parallel Discrete Event Simulation (PDES) platforms for multicore systems. We discuss a programming model to support both implicit (in-place access) and explicit (message passing) interactions across concurrent Logical Processes (LPs). We discuss different load-sharing policies combining event rate and implicit/explicit LPs{\textquoteright} interactions. We present a performance study conducted on a synthetic test case, representative of a class of agent-based models.",

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Pellegrini, A, Montañola-Sales, C, Quaglia, F & Casanovas-García, J 2017, Load-sharing policies in parallel simulation of agent-based demographic models. in P-F Dutot & F Desprez (eds), Euro-par 2016: Parallel Processing Workshops: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers. vol. 10104, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10104 LNCS, Springer Nature, pp. 334-346, 22nd International European Conference on Parallel and Distributed Computing (Euro-Par), Grenoble, France, 22/08/16. https://doi.org/10.1007/978-3-319-58943-5_27

Load-sharing policies in parallel simulation of agent-based demographic models. / Pellegrini, Alessandro; Montañola-Sales, Cristina; Quaglia, Francesco et al.
Euro-par 2016: Parallel Processing Workshops: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers. ed. / Pierre-Francois Dutot; Frederic Desprez. Vol. 10104 Springer Nature, 2017. p. 334-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10104 LNCS).

Research output: Book chapter › Conference contribution › peer-review

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Pellegrini A, Montañola-Sales C, Quaglia F, Casanovas-García J. Load-sharing policies in parallel simulation of agent-based demographic models. In Dutot PF, Desprez F, editors, Euro-par 2016: Parallel Processing Workshops: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers. Vol. 10104. Springer Nature. 2017. p. 334-346. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-58943-5_27

Load-sharing policies in parallel simulation of agent-based demographic models

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