HPC Challenges for Deterministic Neutronics Simulations Using APOLLO3® Code

Abstract

The aim of this paper is to present some major HPC challenges for deterministic neutronics simulations and how these challenges are addressed in the APOLLO3 ® code. Different levels of HPC are illustrated on different kind of applications and parallel paradigms techniques in the frame of the APOLLO3 ® code. Results obtained for fuel load management using genetic algorithm, domain decomposition for transport solvers, GPU acceleration for the Boltzmann equation solution are given using from few cores to massively parallel computing using more than 10,000 cores.