BlazeDEM3D-GPU A Large Scale DEM simulation code for GPUs

Nicolin Govender, Daniel Wilke, Patrick Pizette, Johannes Khinast

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

Accurately predicting the dynamics of particulate materials is of importance to numerous scientific and industrial areas with applications ranging across particle scales from powder flow to ore crushing. Computational discrete element simulations is a viable option to aid in the understanding of particulate dynamics and design of devices such as mixers, silos and ball mills, as laboratory scale tests comes at a significant cost. However, the computational time required to simulate an industrial scale simulation which consists of tens of millions of particles can take months to complete on large CPU clusters, making the Discrete Element Method (DEM) unfeasible for industrial applications. Simulations are therefore typically restricted to tens of thousands of particles with highly detailed particle shapes or a few million of particles with often oversimplified particle shapes. However, a number of applications require accurate representation of the particle shape to capture the macroscopic behaviour of the particulate system. In this paper we give an overview of the recent extensions to the open source GPU based DEM code, BlazeDEM3D-GPU, that can simulate millions of polyhedra and tens of millions of spheres on a desktop computer with a single or multiple GPUs.

Original languageEnglish
Article number06025
JournalEPJ Web of Conferences
Volume140
DOIs
Publication statusPublished - 30 Jun 2017
Event8th International Conference on Micromechanics on Granular Media, Powders and Grains 2017 - Montpellier, France
Duration: 3 Jul 20177 Jul 2017

ASJC Scopus subject areas

  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'BlazeDEM3D-GPU A Large Scale DEM simulation code for GPUs'. Together they form a unique fingerprint.

Cite this