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High Performance Computing and the Discrete Element Model
Opportunity and Challenge
1st Edition - October 20, 2015
Author: Gao-Feng Zhao
Hardback ISBN:
9 7 8 - 1 - 7 8 5 4 8 - 0 3 1 - 7
eBook ISBN:
9 7 8 - 0 - 0 8 - 1 0 0 8 0 9 - 6
This book addresses the high performance computing of the Discrete Element Model (DEM). It is a comprehensive presentation of parallel implementation of the DEM on three popular… Read more
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This book addresses the high performance computing of the Discrete Element Model (DEM). It is a comprehensive presentation of parallel implementation of the DEM on three popular parallel computing platforms; the multi-core PC, the GPU computer, and the cluster supercomputer. Featuring accompanying MatLab source this book helps you implement the DEM model for use with high performing technology, for particular implementation of the dynamic failure of solids, granular flow and stress wave propagation through solids.
- Features both Pre-processor, Solver, and Post-processor for the DEM
- Covers the parallel implementation of DEM on the cluster, multi-core PC, GPU PC
- Full of examples of dynamic fracturing, granular flow and stress wave propagation using high performance DEM
- Source codes and data files available for hands-on practice
Students, Researchers, and Engineers who have interests in Discrete Element Model (DEM) and Geomechanics; software developers, students and academics in the field of materials science and physics
- Dedication
- Foreword
- Preface
- Introduction
- I.1 Discrete element model
- I.2 Discrete element model and high performance computing
- I.3 Conclusion
- 1: Serial Implementation
- Abstract
- 1.1 System design
- 1.2 Contact detection
- 1.3 Constitutive model
- 1.4 Time step, damping and energy calculation
- 1.5 Benchmark examples
- 1.6 Conclusion
- 2: Multi-core Implementation
- Abstract
- 2.1 Multi-core personal computer
- 2.2 Multi-core implementation using MATLAB
- 2.3 Performance analysis
- 2.4 Parallel implementation
- 2.5 Numerical examples
- 2.6 Conclusion
- 3: GPU Implementation
- Abstract
- 3.1 Graphics processing unit computing
- 3.2 GPU implementation of DICE2D
- 3.3 Examples
- 3.4 Conclusion
- 4: DICE2D and Cluster
- Abstract
- 4.1 Leonardi cluster
- 4.2 Run DICE2D on cluster
- 4.3 Numerical examples
- 4.4 Conclusion
- Bibliography
- Index
- No. of pages: 164
- Language: English
- Published: October 20, 2015
- Imprint: ISTE Press - Elsevier
- Hardback ISBN: 9781785480317
- eBook ISBN: 9780081008096
GZ
Gao-Feng Zhao
Affiliations and expertise
Lecturer, School of Civil and Environmental Engineering, UNSW Australia