StochKit-FF：多核架构上的高效系统生物学
StochKit-FF: Efficient Systems Biology on Multicore Architectures
摘要：
生物系统的随机建模是一种信息丰富的技术，在某些情况下，非常合适，但这可能导致比其他建模方法（如微分方程）更昂贵。我们提出了StochKit-FF，一个并行版本的StochKit，随机模拟的参考工具包。StochKit-FF基于FastFlow多核编程工具包，并利用了选择性内存的新概念。我们在HIV感染动力学模型上对StochKit-FF进行了实验，目的是从有效运行的实验中提取信息，这里是平均值和方差，从长远来看，是更结构化的数据。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
