Open AccessParallel Algorithm for Supercomputing Simulation of Dust-Gaseous Gravitating Systems Using Particle-In-Cell and SPH Methods
Author(s) -
Nikolay Snytnikov,
Olga P. Stoyanovskaya,
Tatiana Glushko
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1336/1/012021
Subject(s) - supercomputer , grid , fast fourier transform , domain decomposition methods , computational science , parallel computing , computer science , poisson's equation , convolution (computer science) , smoothed particle hydrodynamics , particle (ecology) , decomposition , algorithm , physics , mechanics , mathematics , geometry , finite element method , oceanography , quantum mechanics , machine learning , artificial neural network , thermodynamics , geology , ecology , biology
We present a supercomputer numerical model for simulating 3D dynamics of dust-gas gravitating circumstellar disk. The model combines SPH method for solving gas dynamical equations, particle-in-cell (PIC) method for solving Vlasov equation, and convolution FFT-based grid method for solving Poisson equation. The approach is based on 3D domain decomposition, sorting of particles with regard to grid cell, and transferring necessary amount of particles between subdomains. The algorithm is aimed to be run on supercomputers with distributed memory and on hybrid supercomputers.