Optimization of PIC codes by improved memory management

Authors:
D. Tskhakaya;R. Schneider
Affiliations:
Department of Theoretical Physics, Association-Euratom ÖAW, University of Innsbruck, A-6020 Innsbruck, Austria;Max Planck Institute für Plasmaphysik, EURATOM Association, Wendelsteinstrasse 1, D-1749 Greifswald, Germany
Venue:
Journal of Computational Physics
Year:
2007

Citing 6
Cited 1

Computer simulation using particles

Computer simulation using particles
Simultaneous potential and circuit solution for 1D bounded plasma particle simulation codes

Journal of Computational Physics
Optimization of particle-in-cell codes on reduced instruction set computer processors

Computers in Physics
Vector implementation of nonlinear Monte Carlo Coulomb collisions

Journal of Computational Physics
Accelerating a paricle -in-cell simulation using a hybrid counting sort

Journal of Computational Physics
Plasma Physics Via Computer

Plasma Physics Via Computer

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

Journal of Parallel and Distributed Computing

Quantified Score

Hi-index	31.45

Visualization

Abstract

A simple method is described for optimization of particle-in-cell codes by improved memory management. This includes a faster calculation of Monte-Carlo collision operators. It is demonstrated that the CPU time can be reduced by a factor of 2 and more without reduction of the simulation accuracy.