How well do STARLAB and NBODY compare? II: Hardware and accuracy
P. Anders (KIAA, PKU, Beijing), H. Baumgardt (University of, Queensland, Brisbane), E. Gaburov (CIERA, Northwestern University, Evanston),, S. Portegies Zwart (Sterrewacht Leiden)

TL;DR
This study compares the accuracy and hardware dependence of star cluster N-body simulations using STARLAB/KIRA and NBODY6, finding high overall agreement but noting deviations with reduced accuracy settings and different hardware accelerators.
Contribution
It provides a comprehensive quantitative comparison of N-body simulation results across different hardware accelerators and accuracy settings, extending previous work.
Findings
High comparability of simulation results across hardware types
Significant deviations with reduced accuracy settings
Deviations are understandable and explainable
Abstract
Most recent progress in understanding the dynamical evolution of star clusters relies on direct N-body simulations. Owing to the computational demands, and the desire to model more complex and more massive star clusters, hardware calculational accelerators, such as GRAPE special-purpose hardware or, more recently, GPUs (i.e. graphics cards), are generally utilised. In addition, simulations can be accelerated by adjusting parameters determining the calculation accuracy (i.e. changing the internal simulation time step used for each star). We extend our previous thorough comparison (Anders et al. 2009) of basic quantities as derived from simulations performed either with STARLAB/KIRA or NBODY6. Here we focus on differences arising from using different hardware accelerations (including the increasingly popular graphic card accelerations/GPUs) and different calculation accuracy settings.…
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