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A Parallel Implementation of the Stau-DPP Stochastic Simulator for the Modelling of Biological Systems

机译:用于生物系统建模的Stau-DPP随机模拟器的并行实现

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In the last decade, different computing paradigms and modelling frameworks for the description and simulation of biochemical systems based on stochastic modelling have been proposed. From a computational point of view, many simulations of the model are necessary to identify the behaviour of the system. The execution of thousands of simulation can require huge amount of time, therefore the parallelization of these algorithms is highly desirable. In this work we discuss the different strategies that can be implemented for the parallelization of a space aware tau-DPP variant, that is proving a C-MPI implementation of the system and discussing its performances according to the simulation of a particle diffusion in a crowded environment.
机译:在过去的十年中,已经提出了用于基于随机建模的生化系统描述和仿真的不同计算范式和建模框架。从计算的角度来看,模型的许多仿真对于识别系统的行为都是必要的。执行数千个仿真可能需要大量时间,因此非常需要这些算法的并行化。在这项工作中,我们讨论了可用于实现空间感知的tau-DPP变体的并行化的不同策略,即证明该系统的C-MPI实现并根据在拥挤的环境中粒子扩散的仿真来讨论其性能。环境。

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