The Performance Analysis of the Thermal Discrete Element Method Computations on the GPU

Authors

  • Ruslan Pacevič Department of Graphical Systems, Vilnius Gediminas Technical University, Vilnius 10223, Lithuania
  • Arnas Kačeniauskas Department of Graphical Systems, Vilnius Gediminas Technical University, Vilnius 10223, Lithuania

DOI:

https://doi.org/10.31577/cai_2022_4_931

Keywords:

GPGPU computing, thermal discrete element method, bonded particle model, performance analysis, OpenCL

Abstract

The paper presents a GPU implementation of the thermal discrete element method (TDEM) and the comparative analysis of its performance. Several discrete element models for granular flows, the bonded particle model and the TDEM are considered for quantitative comparison of computational performance. The performance measured on NVIDIA(R) Tesla™ P100 GPU is compared with that attained by running the same OpenCL code on Intel(R) Xeon™ E5-2630 CPU with 20 cores. The presented GPU implementation of the TDEM increases the computing time of the bonded particle model only up to 30.6 % of the computing time of the simplest DEM model, which is an acceptable decrease in the performance required for solving coupled thermomechanical problems.

Downloads

Download data is not yet available.

Downloads

Published

2022-11-09

How to Cite

Pacevič, R., & Kačeniauskas, A. (2022). The Performance Analysis of the Thermal Discrete Element Method Computations on the GPU. Computing and Informatics, 41(4), 931–956. https://doi.org/10.31577/cai_2022_4_931

Most read articles by the same author(s)