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Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

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Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

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Flash Memory Integration

Performance and Energy Considerations

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Mechanics of Aeronautical Solids, Materials and Structures

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Engineering Investment Process

Making Value Creation Repeatable

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Space Strategy

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Distributed Systems

Concurrency and Consistency

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Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set Volume 1

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Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

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Computational Color Science

Variational Retinex-like Methods

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High Performance Computing and the Discrete Element Model

Opportunity and Challenge

Gao-Feng Zhao, School of Civil Engineering, Tianjin University, China

ISBN: 9781785480317

Publication Date: October 2015   Hardback   164 pp.

95.00 USD

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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.


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