ff_cwc_distr:pdp:13 (In proceedings)
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Author(s) | Marco Aldinucci, Fabio Tordini, Maurizio Drocco, Massimo Torquati and Mario Coppo |
Title | « Parallel stochastic simulators in system biology: the evolution of the species » |
In | Proc. of Intl. Euromicro PDP 2013: Parallel Distributed and network-based Processing |
Year | 2013 |
Publisher | IEEE |
Address | Belfast, Nothern Ireland, U.K. |
URL | http://calvados.di.unipi.it/storage/paper_files/2013_cwc_d_PDP.pdf |
Abstract & Keywords |
The stochastic simulation of biological systems is an increasingly popular technique in Bioinformatics. It is often an enlightening technique, especially for multi-stable systems which dynamics can be hardly captured with ordinary differential equations. To be effective, stochastic simulations should be supported by powerful statistical analysis tools. The simulation-analysis workflow may however result in being computationally expensive, thus compromising the interactivity required in model tuning. In this work we advocate the high-level design of simulators for stochastic systems as a vehicle for building efficient and portable parallel simulators. In particular, the Calculus of Wrapped Components (CWC) simulator, which is designed according to the FastFlow's pattern-based approach, is presented and discussed in this work. FastFlow has been extended to support also clusters of multi-cores with minimal coding effort, assessing the portability of the approach.
Keywords: fastflow, bioinformatics
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@inproceedings{ff_cwc_distr:pdp:13,
month = feb,
author = {Marco Aldinucci and Fabio Tordini and Maurizio Drocco and Massimo
Torquati and Mario Coppo},
keywords = {fastflow, bioinformatics},
booktitle = {Proc. of Intl. Euromicro PDP 2013: Parallel Distributed and
network-based Processing},
url = {http://calvados.di.unipi.it/storage/paper_files/2013_cwc_d_PDP.pdf},
abstract = {The stochastic simulation of biological systems is an increasingly
popular technique in Bioinformatics. It is often an enlightening
technique, especially for multi-stable systems which dynamics can
be hardly captured with ordinary differential equations. To be
effective, stochastic simulations should be supported by powerful
statistical analysis tools. The simulation-analysis workflow may
however result in being computationally expensive, thus
compromising the interactivity required in model tuning. In this
work we advocate the high-level design of simulators for
stochastic systems as a vehicle for building efficient and
portable parallel simulators. In particular, the Calculus of
Wrapped Components (CWC) simulator, which is designed according to
the FastFlow's pattern-based approach, is presented and discussed
in this work. FastFlow has been extended to support also clusters
of multi-cores with minimal coding effort, assessing the
portability of the approach.},
address = {Belfast, Nothern Ireland, U.K.},
title = {Parallel stochastic simulators in system biology: the evolution of
the species},
publisher = {IEEE},
year = {2013},
}
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