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

Author
Pellegrini, A.; Montañola-Sales, C.; Quaglia, F.; Casanovas, J.
Type of activity
Journal article
Journal
Lecture notes in computer science (Online)
Date of publication
2017
Volume
10104
First page
334
Last page
346
DOI
https://doi.org/10.1007/978-3-319-58943-5_27 Open in new window
Repository
http://hdl.handle.net/2117/106304 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-319-58943-5_27 Open in new window
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 concurr...
Citation
Pellegrini, A., Montañola-Sales, C., Quaglia, F., Casanovas, J. Load-sharing policies in parallel simulation of agent-based demographic models. "Lecture notes in computer science", 2017, vol. 10104, p. 334-346.
Keywords
Digital simulation, Discrete event simulation, Message passing, Multiprocessing systems, Resource allocation
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

  • Pellegrini, Alessandro  (author)
  • Montañola Sales, Cristina  (author)
  • Quaglia, Francesco  (author)
  • Casanovas Garcia, Jose  (author)

Attachments