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[ascl:2007.005] PeTar: ParticlE Tree & particle-particle & Algorithmic Regularization code for simulating massive star clusters

The N-body code PETAR (ParticlE Tree & particle-particle & Algorithmic Regularization) combines the methods of Barnes-Hut tree, Hermite integrator and slow-down algorithmic regularization (SDAR). It accurately handles an arbitrary fraction of multiple systems (e.g. binaries, triples) while keeping a high performance by using the hybrid parallelization methods with MPI, OpenMP, SIMD instructions and GPU. PETAR has very good agreement with NBODY6++GPU results on the long-term evolution of the global structure, binary orbits and escapers and is significantly faster when used on a highly configured GPU desktop computer. PETAR scales well when the number of cores increase on the Cray XC50 supercomputer, allowing a solution to the ten million-body problem which covers the region of ultra compact dwarfs and nuclear star clusters.

Code site:
https://github.com/lwang-astro/PeTar
Described in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.497..536W
Bibcode:
2020ascl.soft07005W

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ascl:2007.005
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