Scalable plasma simulation with ELMFIRE using efficient data structures for process communication

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Signell A, Ogando F, Aspnas M, Westerholm J
Publisher: ELSEVIER SCIENCE BV
Publication year: 2008
Journal: Computer Physics Communications
Journal acronym: COMPUT PHYS COMMUN
Volume number: 179
Issue number: 5
Start page: 330
End page: 338
Number of pages: 9
ISSN: 0010-4655


Abstract

We describe the parallel full-f gyrokinetic particle-in-cell plasma simulation code ELMFIRE and the issue of solving an electrostatic potential from particle data distributed across several MPI (Message Passing Interface) processes. The potential is solved through a linear system with a strongly sparse matrix and ELMFIRE stores data of the estimated non-zero diagonals of the whole matrix in every MPI process. We present and compare several memory efficient structures for gathering the matrix data while keeping only a local part of the matrix in each process. We also demonstrate that these alternative structures improve scalability, thus enabling ELMFIRE to use more MPI processes and a finer time and space scale than before without sacrificing performance. (C) 2008 Elsevier B.V. All rights reserved.


Keywords

full-f, gyrokinetics, matrix assembly, plasma simulation, sparse matrix

Last updated on 2020-26-02 at 04:38