High Performance Computing and the Discrete Element Model
Opportunity and Challenge
Publication Date: October 2015 Hardback 164 pp.
With recent advancements in computer science, parallelization of the discrete element model (DEM) has become much easier. By presenting a MATLAB® DEM code, DICE2D, this book presents a comprehensive guide to parallel implementation of the DEM on three popular parallel computing platforms: the multi-core PC, the GPU computer, and the cluster supercomputer.
The author addresses the high performance computing of the Discrete Element Model (DEM). Examples and source codes of the implementation of the Discrete Element Model (DEM) using MATLAB® are provided, to be used for academic research on dynamic failure of solid, granular flow, and/or stress wave propagation through solids.
Both Pre-processor, Solver, and Post-processor for the DEM are covered, as well as details of the parallel implementation of the DEM on the cluster, multi-core PC and GPU PC. A number of examples on dynamic fracturing, granular flow and engineering stability analysis by using the high performance DEM are also included.
1. Serial Implementation.
2. Multi-core Implementation.
3. GPU Implementation.
4. DICE2D and Cluster.
About the Authors
Gao-Feng Zhao is Professor in rock mechanics at the School of Civil Engineering of Tianjin University in China and a senior lecturer at the School of Civil and Environmental Engineering at the University of New South Wales in Sydney, Australia. His research aims to understand the dynamic fracturing of rock, and to promote the application of the Distinct Lattice Spring Model (DLSM), Discrete Element Model (DEM) and Lattice Boltzmann Method (LBM) for rock mechanics and rock engineering.