Adaptive Memory Saving Strategy in Shielding Calculation of RMC

Abstract

RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient to be implemented into shielding simulation and variance reduction. In order to expand its availability in shielding calculation, several optimizations have been made in RMC code design to elevate efficiency in variance reduction. Considering parallel computation has been implemented in Monte Carlo simulation for long time, in this paper we proposed an adaptive memory saving strategy specifically designed for boosting parallel variance reduction calculation in RMC. We further found that this strategy can be very effective in certain condition without sacrificing any calculation performance.