• Corpus ID: 235727639

An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence

@article{Lalescu2021AnEP,
  title={An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence},
  author={Cristian Constantin Lalescu and B{\'e}renger Bramas and Markus Rampp and Michael Wilczek},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.01104}
}
Particle tracking in large-scale numerical simulations of turbulent flows presents one of the major bottlenecks in parallel performance and scaling efficiency. Here, we describe a particle tracking algorithm for large-scale parallel pseudo-spectral simulations of turbulence which scales well up to billions of tracer particles on modern high-performance computing architectures. We summarize the standard parallel methods used to solve the fluid equations in our hybrid MPI/OpenMP implementation… 

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