A Parallel Implementation of the Stau-DPP Stochastic Simulator for the Modelling of Biological Systems (Contributo in atti di convegno)

Type
Label
  • A Parallel Implementation of the Stau-DPP Stochastic Simulator for the Modelling of Biological Systems (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/PDP.2013.68 (literal)
Alternative label
  • Ettore Mosca, Ivan Merelli, Luciano Milanesi, Andrea Clematis, Daniele D'Agostino (2013)
    A Parallel Implementation of the Stau-DPP Stochastic Simulator for the Modelling of Biological Systems
    in 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing PDP, Belfast, 27th February - 1st March 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ettore Mosca, Ivan Merelli, Luciano Milanesi, Andrea Clematis, Daniele D'Agostino (literal)
Pagina inizio
  • 427 (literal)
Pagina fine
  • 431 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Proceedings (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute for Biomedical Technologies National Research Council of Italy Institute for Applied Mathematics and Information Technologies National Research Council of Italy (literal)
Titolo
  • A Parallel Implementation of the Stau-DPP Stochastic Simulator for the Modelling of Biological Systems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-0-7695-4939-2 (literal)
Abstract
  • In the last decade, different computing paradigms and modelling frameworks for the description and simulation of biochemical systems based on stochastic modelling have been proposed. From a computational point of view, many simulations of the model are necessary to identify the behaviour of the system. The execution of thousands of simulation can require huge amount of time, therefore the parallelization of these algorithms is highly desirable. In this work we discuss the different strategies that can be implemented for the parallelization of a space aware ?-DPP variant, that is proving a C-MPI implementation of the system and discussing its performances according to the simulation of a particle diffusion in a crowded environment. (literal)
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