JCOGIN: a Monte Carlo particle transport infrastructure with combinatorial geometry

This paper introduces a software infrastructure named J combinatorial geometry Monte Carlo particle transport infrastructure (JCOGIN). The architecture and data structure of JCOGIN and the optimization of computing on the combinatorial geometry are present. Based on JCOGIN, a program used for simulating 3D neutron-photon coupling transport named J Monte Carlo transport (JMCT) is developed, with its performance tested. Results show that JMCT reaches the parallel efficiency 70% in the simulation of 2 billion particles on 20 480 cores for an outside source.