We derive new discrete event simulation algorithms for marked time point processes. The main idea is to couple a special structure, namely the associated local independence graph, as defined by Didelez arXiv:0710.5874, with the activity tracking algorithm [muzy, 2019] for achieving high performance asynchronous simulations. With respect to classical algorithm, this allows reducing drastically the computational complexity, especially when the graph is sparse. [muzy, 2019] A. Muzy. 2019. Exploiting activity for the modeling and simulation of dynamics and learning processes in hierarchical (neurocognitive) systems. (Submitted to) Magazine of Computing in Science & Engineering (2019)

翻译：我们为标记的时间点进程推出新的离散事件模拟算法。主要的想法是将一个特殊的结构,即Didelez arXiv:0710.5874所界定的相关的当地独立图与实现高性能非同步模拟的活动跟踪算法[muzy, 2019]相匹配。对于古典算法,这可以大幅降低计算的复杂性,特别是当该图稀少时。 [muzy, 2019] A. Muzy. 2019. 开发用于制模和模拟等级(神经学)系统中动态和学习过程的模型和模拟活动。 (2019) 《科学与工程计算机杂志》(2019)。