MSTAR -- a fast parallelised algorithmically regularised integrator with minimum spanning tree coordinates
arXiv:2001.03180 · doi:10.1093/mnras/staa084
Abstract
We present the novel algorithmically regularised integration method MSTAR for high accuracy () integrations of N-body systems using minimum spanning tree coordinates. The two-fold parallelisation of the force loops and the substep divisions of the extrapolation method allows for a parallel scaling up to . The efficient parallel scaling of MSTAR makes the accurate integration of much larger particle numbers possible compared to the traditional algorithmic regularisation chain (AR-CHAIN) methods, e.g. particles on CPUs for Gyr in a few weeks of wall-clock time. We present applications of MSTAR on few particle systems, studying the Kozai mechanism and N-body systems like star clusters with up to particles. Combined with a tree or a fast multipole based integrator the high performance of MSTAR removes a major computational bottleneck in simulations with regularised subsystems. It will enable the next generation galactic-scale simulations with up to stellar particles (e.g. for a galaxy) including accurate collisional dynamics in the vicinity of nuclear supermassive black holes.
20 pages, 16 figures, accepted for publication in MNRAS
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