Principal Investigator Benoit Forget
One forthcoming challenge in the area of high-performance computing is having the ability to run large-scale problems while coping with less memory per compute node. Through the development of an open source Monte Carlo code (openMC), we are investigating novel data decomposition method that would allow Monte Carlo transport calculations to be performed on systems with limited memory per compute node. Initial developments have led to modifications to the fission bank algorithm for criticality calculations.