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

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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

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.

Idioma originalAnglès
Títol de la publicacióEuro-par 2016: Parallel Processing Workshops
Subtítol de la publicacióParallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers
EditorsPierre-Francois Dutot, Frederic Desprez
EditorSpringer Nature
Pàgines334-346
Nombre de pàgines13
Volum10104
ISBN (electrònic)978-3-319-58943-5
ISBN (imprès)9783319589428
DOIs
Estat de la publicacióPublicada - 2017
Publicat externament
Esdeveniment22nd International European Conference on Parallel and Distributed Computing (Euro-Par) - Grenoble, France
Durada: 22 d’ag. 201626 d’ag. 2016

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum10104 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència22nd International European Conference on Parallel and Distributed Computing (Euro-Par)
País/TerritoriFrance
CiutatGrenoble
Període22/08/1626/08/16

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