TY - GEN

T1 - Accurate parallel algorithm for tracking inertial particles in large-scale direct numerical simulations of turbulence

AU - Ishihara, Takashi

AU - Enohata, Kei

AU - Morishita, Koji

AU - Yokokawa, Mitsuo

AU - Ishii, Katsuya

N1 - Funding Information:
This research used computational resources of the K computer provided by the RIKEN Advanced Institute for Computational Science through the HPCI System Research Project (Project ID: hp150174) and the supercomputer system at Nagoya University. The work is partially supported by “Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures” in Japan. This research was partly supported by KAKENHI, Grant Numbers: (B) 15H03603, and (C) 26390130.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Statistics on the motion of small heavy (inertial) particles in turbulent flows with a high Reynolds number are physically fundamental to understanding realistic turbulent diffusion phenomena. An accurate parallel algorithm for tracking particles in large-scale direct numerical simulations (DNSs) of turbulence in a periodic box has been developed to extract accurate statistics on the motion of inertial particles. The tracking accuracy of the particle motion is known to primarily depend on the spatial resolution of the DNS for the turbulence and the accuracy of the interpolation scheme used to calculate the fluid velocity at the particle position. In this study, a DNS code based on the Fourier spectral method and two-dimensional domain decomposition method was developed and optimised for the K computer. An interpolation scheme based on cubic splines is implemented by solving tridiagonal matrix problems in parallel.

AB - Statistics on the motion of small heavy (inertial) particles in turbulent flows with a high Reynolds number are physically fundamental to understanding realistic turbulent diffusion phenomena. An accurate parallel algorithm for tracking particles in large-scale direct numerical simulations (DNSs) of turbulence in a periodic box has been developed to extract accurate statistics on the motion of inertial particles. The tracking accuracy of the particle motion is known to primarily depend on the spatial resolution of the DNS for the turbulence and the accuracy of the interpolation scheme used to calculate the fluid velocity at the particle position. In this study, a DNS code based on the Fourier spectral method and two-dimensional domain decomposition method was developed and optimised for the K computer. An interpolation scheme based on cubic splines is implemented by solving tridiagonal matrix problems in parallel.

KW - Cubic spline interpolation

KW - Large-scale DNS of turbulence

KW - Parallel computation

KW - Particle tracking

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U2 - 10.1007/978-3-319-21909-7_51

DO - 10.1007/978-3-319-21909-7_51

M3 - Conference contribution

AN - SCOPUS:84944245638

SN - 9783319219080

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 522

EP - 527

BT - Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings

A2 - Malyshkin, Victor

PB - Springer Verlag

T2 - 13th International Conference on Parallel Computing Technologies, PaCT 2015

Y2 - 31 August 2015 through 4 September 2015

ER -