Eulerian incompressible smoothed particle hydrodynamics on multiple GPUs

J O'connor, JM Domínguez, BD Rogers, SJ Lind… - Computer Physics …, 2022 - Elsevier
Recent advances in the development of Eulerian incompressible smoothed particle
hydrodynamics (EISPH), such as high-order convergence and natural coupling with …

Acceleration of three-dimensional Tokamak magnetohydrodynamical code with graphics processing unit and OpenACC heterogeneous parallel programming

HW Zhang, J Zhu, ZW Ma, GY Kan… - International Journal …, 2019 - Taylor & Francis
In this paper, the OpenACC heterogeneous parallel programming model is successfully
applied to modification and acceleration of the three-dimensional Tokamak …

Knot-detection algorithm to measure viscosity in three-dimensional MHD plasmas

R Chakraborty, R Mukherjee - arXiv preprint arXiv:2409.19903, 2024 - arxiv.org
This project explores the mathematical study of knots and links in topology, focusing on
differentiating between the two-component Unlink and the Hopf Link using a computational …

An efficient particle tracking algorithm for large-scale parallel pseudo-spectral simulations of turbulence

CC Lalescu, B Bramas, M Rampp, M Wilczek - Computer Physics …, 2022 - Elsevier
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 …

Towards a theory of hydromagnetic turbulence with higher order fluid moments

A Saikia, R Mukherjee - arXiv preprint arXiv:2409.19704, 2024 - arxiv.org
In this paper, Chandrasekhar's deductive theory of turbulence is extended to the case of
hydrodynamics and hydromagnetics, with higher order fluid moments. We include the …

Recurrence in three dimensional magnetohydrodynamic plasma

R Mukherjee, R Ganesh, A Sen - Physics of Plasmas, 2019 - pubs.aip.org
We report on a numerical observation of the recurrence phenomenon in a three dimensional
magneto-hydrodynamic (MHD) plasma for certain classes of initial flow profiles. Our …