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Parallel Implementation of a Monte Carlo Algorithm for Simulation of Cathodoluminescence Contrast Maps

  • Karl K. Sabelfeld
  • Anastasiya E. KireevaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 753)

Abstract

We suggest a parallel implementation of a Monte Carlo method for cathodoluminescence contrast maps simulation based on a random walk on spheres algorithm developed by K. K. Sabelfeld for solving drift-diffusion problems. The method for cathodoluminescence imaging in the vicinity of external forces is based on the explicit representation of the exit point probability density. This makes it possible to simulate exciton trajectories governed by drift-diffusion-reaction equations with a recombination condition on the surface of dislocations or other defects in crystals. In this study, we apply the developed stochastic algorithm to construct a parallel implementation that uses the OpenMP and MPI standards and is based on a distribution of simulated exciton trajectories starting at a given source. The number of self-annihilated excitons is evaluated as a function of the distance between the exciton source and the dislocation. The algorithm is tested against exact results.

Keywords

Cathodoluminescence Drift-diffusion problem Random walk on spheres algorithm Monte Carlo algorithm Parallel implementation 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Computational Mathematics and Mathematical GeophysicsNovosibirskRussia

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