@techreport{stochkit-ff:tr-10-12,
  number = {TR-10-12},
  month = jul,
  author = {Marco Aldinucci and Andrea Bracciali and Pietro Li\`o and Anil
            Sorathiya and Massimo Torquati},
  keywords = {fastflow},
  url = {http://calvados.di.unipi.it/storage/paper_files/TR-10-12.pdf},
  abstract = {The stochastic modelling of biological systems is an informative,
              and in some cases, very adequate technique, which may however
              result in being more expensive than other modelling approaches,
              such as differential equations. We present StochKit-FF, a parallel
              version of StochKit, a reference toolkit for stochastic
              simulations. StochKit-FF is based on the FastFlow programming
              toolkit for multicores and exploits the novel concept of selective
              memory. We experiment StochKit-FF on a model of HIV infection
              dynamics, with the aim of extracting information from efficiently
              run experiments, here in terms of average and variance and, on a
              longer term, of more structured data.},
  title = {{StochKit-FF}: Efficient Systems Biology on Multicore Architectures},
  institution = {Universit{\`a} di Pisa, Dipartimento di Informatica, Italy},
  year = {2010},
}

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