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The Art of High Performance Computing for Computational Science, Vol. 2

Advanced Techniques and Examples for Materials Science

  • Masaaki¬†Geshi

Table of contents

  1. Front Matter
    Pages i-ix
  2. Kazuo Minami
    Pages 11-39
  3. Kazuo Minami, Kiyoshi Kumahata
    Pages 41-88
  4. Taisuke Ozaki
    Pages 89-115
  5. Y. Andoh, N. Yoshii, J. Jung, Y. Sugita
    Pages 117-157
  6. Kazuya Ishimura, Masato Kobayashi
    Pages 159-201
  7. Back Matter
    Pages 203-206

About this book

Introduction

This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes.

Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method.

This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques.

Keywords

High Parallelization Performance Optimization High Performance Computing Supercomputer K Computer Order-N Method Density Functional Theory Material Science Molecular Dynamics Simulation Large-scale Quantum Chemical Calculation

Editors and affiliations

  • Masaaki¬†Geshi
    • 1
  1. 1.Osaka UniversityToyonakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-9802-5
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-9801-8
  • Online ISBN 978-981-13-9802-5
  • Buy this book on publisher's site
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