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On parallelizing on-line statistics for stochastic biological simulations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7156 LNCS(PART 2) 3-12
DOI: 10.1007/978-3-642-29740-3_2
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Abstract

This work concerns a general technique to enrich parallel version of stochastic simulators for biological systems with tools for on-line statistical analysis of the results. In particular, within the FastFlow parallel programming framework, we describe the methodology and the implementation of a parallel Monte Carlo simulation infrastructure extended with user-defined on-line data filtering and mining functions. The simulator and the on-line analysis were validated on large multi-core platforms and representative proof-of-concept biological systems. © 2012 Springer-Verlag Berlin Heidelberg.

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Aldinucci, M., Coppo, M., Damiani, F., Drocco, M., Sciacca, E., Spinella, S., … Troina, A. (2012). On parallelizing on-line statistics for stochastic biological simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7156 LNCS, pp. 3–12). Springer Verlag. https://doi.org/10.1007/978-3-642-29740-3_2

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