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Parallel Algorithms in Computational Science and Engineering

  • Book
  • © 2020

Overview

Editors:
  1. Ananth Grama

    1. Purdue University, West Lafayette, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ahmed H. Sameh

    1. Purdue University, West Lafayette, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presents core algorithms and compute kernels alongside high-performance science and engineering applications
  • Describes efficient solutions to a wide variety of computationally demanding applications that are ordinarily time-consuming
  • Provides a state-of-the-art reference for researchers and practitioners

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
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  2. High Performance Algorithms

    1. Front Matter

      Pages 1-1
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    2. State-of-the-Art Sparse Direct Solvers

      • Matthias Bollhöfer, Olaf Schenk, Radim Janalik, Steve Hamm, Kiran Gullapalli
      Pages 3-33

    3. The Effect of Various Sparsity Structures on Parallelism and Algorithms to Reveal Those Structures

      • Oguz Selvitopi, Seher Acer, Murat Manguoğlu, Cevdet Aykanat
      Pages 35-62

    4. Structure-Exploiting Interior Point Methods

      • Juraj Kardoš, Drosos Kourounis, Olaf Schenk
      Pages 63-93

    5. Parallel Hybrid Sparse Linear System Solvers

      • Murat Manguoğlu, Eric Polizzi, Ahmed H. Sameh
      Pages 95-120

  3. High Performance Computational Science and Engineering Applications

    1. Front Matter

      Pages 121-121
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    2. Computational Materials Science and Engineering

      • Eric Polizzi, Yousef Saad
      Pages 123-150

    3. Computational Cardiovascular Analysis with the Variational Multiscale Methods and Isogeometric Discretization

      • Thomas J. R. Hughes, Kenji Takizawa, Yuri Bazilevs, Tayfun E. Tezduyar, Ming-Chen Hsu
      Pages 151-193

    4. ALE and Space–Time Variational Multiscale Isogeometric Analysis of Wind Turbines and Turbomachinery

      • Yuri Bazilevs, Kenji Takizawa, Tayfun E. Tezduyar, Ming-Chen Hsu, Yuto Otoguro, Hiroki Mochizuki et al.
      Pages 195-233

    5. Variational Multiscale Flow Analysis in Aerospace, Energy and Transportation Technologies

      • Kenji Takizawa, Yuri Bazilevs, Tayfun E. Tezduyar, Artem Korobenko
      Pages 235-280

    6. Multiscale Crowd Dynamics Modeling and Safety Problems Towards Parallel Computing

      • Bouchra Aylaj, Nicola Bellomo
      Pages 281-295

    7. HPC for Weather Forecasting

      • John Michalakes
      Pages 297-323

    8. A Simple Study of Pleasing Parallelism on Multicore Computers

      • Yanfei Ren, David F. Gleich
      Pages 325-346

    9. Parallel Fast Time-Domain Integral-Equation Methods for Transient Electromagnetic Analysis

      • Yang Liu, Eric Michielssen
      Pages 347-379

    10. Parallel Optimization Techniques for Machine Learning

      • Sudhir Kylasa, Chih-Hao Fang, Fred Roosta, Ananth Grama
      Pages 381-417
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Keywords

About this book

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including:
  • Computational materials science and engineering
  • Computational cardiovascular analysis
  • Multiscale analysis of wind turbines and turbomachinery
  • Weather forecasting
  • Machine learning techniques

Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.

Editors and Affiliations

  • Purdue University, West Lafayette, USA

    Ananth Grama, Ahmed H. Sameh

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