CuTauLeaping: a GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems.

ABSTRACT: Tau-leaping is a stochastic simulation algorithm that efficiently reconstructs the temporal evolution of biological systems, modeled according to the stochastic formulation of chemical kinetics. The analysis of dynamical properties of these systems in physiological and perturbed conditions usually requires the execution of a large number of simulations, leading to high computational costs. Since each simulation can be executed independently from the others, a massive parallelization of tau-leaping can bring to relevant reductions of the overall running time. The emerging field of General Purpose Graphic Processing Units (GPGPU) provides power-efficient high-performance computing at a relatively low cost. In this work we introduce cuTauLeaping, a stochastic simulator of biological systems t

SUBMITTER: Nobile MS 

PROVIDER: S-EPMC3963881 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature