Prabhu Ramachandran
Department of Aerospace Engineering
IIT Bombay, Mumbai, India

Video: https://youtu.be/6UnuPhTPdnM

Abstract

Smoothed Particle Hydrodynamics (SPH) is a general purpose technique to numerically compute the solutions to partial differential equations such as those used to simulate fluid and solid mechanics. The method is grid-free and uses particles to discretize the various properties of interest (such as density, fluid velocity, pressure etc.). The method is Lagrangian and particles are moved with the local velocity.

PySPH is an open source framework for Smoothed Particle Hydrodynamics. It is implemented in a mix of Python and Cython. It is designed to be easy to use on multiple platforms, high-performance and support parallel execution. Users write pure-Python code and HPC code is generated on the fly, compiled, and executed. PySPH supports OpenMP and MPI for distributed computing, in a way that is transparent to the user. PySPH is also designed to make it easy to perform reproducible research. In this paper we discuss the design and implementation of PySPH.

Keywords

DOI

10.25080/Majora-629e541a-011

Bibtex entry

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Copyright © 2016 Prabhu Ramachandran. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.