基于事件的蒙特卡罗粒子输运算法设计实现OA

Monte Carlo particle transport program is a typical high-performance computing(HPC)application.There are two parallel methods for MC particle transport programs:history-based method and event-based method.Proxy programs serve as a crucial foundation for optimizing the performance of large-scale practical programs tailored to specific architectures,and the implementation of an event-based MC proxy program is of great importance for researching performance optimization for many-core architectures.However,there are no publicly available event-based proxy programs.Based on the open source project OpenMC,an event-based Monte Carlo particle transport algorithm is designed,and then a new event-based MC proxy program is implemented.Experimental results show that this proxy program can effectively simulate the branching,memory access,and computational characteristics of OpenMC,with its code size being less than 5%of that of OpenMC.Moreover,its runtime is merely 7.5%of OpenMC's,providing an efficient and user-friendly platform for optimization research based on event-based algorithms.