TY - JOUR
T1 - Explicit, parallel Poisson integration of point vortices on the sphere
AU - Myerscough, Keith W.
AU - Frank, Jason
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Point vortex models are frequently encountered in conceptual studies in geophysical fluid dynamics, but also in practical applications, for instance, in aeronautics. In spherical geometry, the motion of vortex centres is governed by a dynamical system with a known Poisson structure. We construct Poisson integration methods for these dynamics by splitting the Hamiltonian into its constituent vwortex pair terms. From backward error analysis, the method is formally known to provide solutions to a modified Poisson system with the correct bracket, but with a modified Hamiltonian function. Different orderings of the pairwise interactions are considered and also used for the construction of higher order methods. The energy and momentum conservation of the splitting schemes is demonstrated for several test cases. For particular orderings of the pairwise interactions, the schemes allow scalable parallelization. This results in a linear-as opposed to quadratic-scaling of computation time with system size when scaling the number of processors accordingly.
AB - Point vortex models are frequently encountered in conceptual studies in geophysical fluid dynamics, but also in practical applications, for instance, in aeronautics. In spherical geometry, the motion of vortex centres is governed by a dynamical system with a known Poisson structure. We construct Poisson integration methods for these dynamics by splitting the Hamiltonian into its constituent vwortex pair terms. From backward error analysis, the method is formally known to provide solutions to a modified Poisson system with the correct bracket, but with a modified Hamiltonian function. Different orderings of the pairwise interactions are considered and also used for the construction of higher order methods. The energy and momentum conservation of the splitting schemes is demonstrated for several test cases. For particular orderings of the pairwise interactions, the schemes allow scalable parallelization. This results in a linear-as opposed to quadratic-scaling of computation time with system size when scaling the number of processors accordingly.
KW - Numerical integration
KW - Parallel computing
KW - Point vortex method
KW - Poisson integrator
UR - http://www.scopus.com/inward/record.url?scp=84962706077&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2016.02.053
DO - 10.1016/j.cam.2016.02.053
M3 - Article
AN - SCOPUS:84962706077
SN - 0377-0427
VL - 304
SP - 100
EP - 119
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
ER -