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

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

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

Resumen

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 originalInglés
Título de la publicación alojadaEuro-par 2016: Parallel Processing Workshops
Subtítulo de la publicación alojadaParallel Processing Workshops - Euro-Par 2016 International Workshops, Revised Selected Papers
EditoresPierre-Francois Dutot, Frederic Desprez
EditorialSpringer Nature
Páginas334-346
Número de páginas13
Volumen10104
ISBN (versión digital)978-3-319-58943-5
ISBN (versión impresa)9783319589428
DOI
EstadoPublicada - 2017
Publicado de forma externa
Evento22nd International European Conference on Parallel and Distributed Computing (Euro-Par) - Grenoble, Francia
Duración: 22 ago 201626 ago 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10104 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia22nd International European Conference on Parallel and Distributed Computing (Euro-Par)
País/TerritorioFrancia
CiudadGrenoble
Período22/08/1626/08/16

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