On Parallelizing On-Line Statistics for Stochastic Biological Simulations

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 ex- tended with user-defined on-line data filtering and mining functions. The simulator and the on-line analysis were validated on large multi-core plat- forms and representative proof-of-concept biological systems.