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Elsevier

High Performance Computing and the Discrete Element Model

Opportunity and Challenge

  • 1 Edición - 20 de octubre de 2015
  • Última edición
  • Autor: Gao-Feng Zhao
  • Idioma: Inglés

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 pa… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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

Índice

  • 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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 20 de octubre de 2015
  • Idioma: Inglés

Sobre el autor

GZ

Gao-Feng Zhao

Afiliaciones y experiencia
Lecturer, School of Civil and Environmental Engineering, UNSW Australia

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