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High-Performance Scientific Computing

Algorithms and Applications

  • Book
  • © 2012

Overview

Editors:
  1. Michael W. Berry

    1. Dept. Electrical Eng. & Computer Science, University of Tennessee, Knoxville, USA

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  2. Kyle A. Gallivan

    1. Department of Mathematics, Florida State University, Tallahassee, USA

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  3. Efstratios Gallopoulos

    1. Dept. Computer Engineering & Informatics, University of Patras, Patras, Greece

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  4. Ananth Grama

    1. Department of Computer Science, Purdue University, West Lafayette, USA

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  5. Bernard Philippe

    1. IRISA, INRIA Rennes - Bretagne Atlantique, Rennes, France

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  6. Yousef Saad

    1. Dept. of Computer Science & Engineering, University of Minnesota, Minneapolis, USA

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  7. Faisal Saied

    1. Department of Computer Science, Purdue University, West Lafayette, USA

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  • Presents the state of the art in parallel numerical algorithms, applications, architectures, and system software, with contributions from an international selection of world-class authorities
  • Reviews emerging applications of numerical methods in information retrieval and data mining
  • Presents outstanding challenges and developing technologies, and puts these in their historical context
  • Includes supplementary material: sn.pub/extras

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About this book

This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Parallel Numerical Computing from Illiac IV to Exascale—The Contributions of Ahmed H. Sameh

    • Kyle A. Gallivan, Efstratios Gallopoulos, Ananth Grama, Bernard Philippe, Eric Polizzi, Yousef Saad et al.
    Pages 1-44

  3. Computational Capacity-Based Codesign of Computer Systems

    • David J. Kuck
    Pages 45-73

  4. Measuring Computer Performance

    • William Jalby, David C. Wong, David J. Kuck, Jean-Thomas Acquaviva, Jean-Christophe Beyler
    Pages 75-95

  5. A Compilation Framework for the Automatic Restructuring of Pointer-Linked Data Structures

    • Harmen L. A. van der Spek, C. W. Mattias Holm, Harry A. G. Wijshoff
    Pages 97-122

  6. Dense Linear Algebra on Accelerated Multicore Hardware

    • Jack Dongarra, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov
    Pages 123-146

  7. The Explicit Spike Algorithm: Iterative Solution of the Reduced System

    • Carl Christian Kjelgaard Mikkelsen
    Pages 147-156

  8. The Spike Factorization as Domain Decomposition Method; Equivalent and Variant Approaches

    • Victor Eijkhout, Robert van de Geijn
    Pages 157-169

  9. Parallel Solution of Sparse Linear Systems

    • Murat Manguoglu
    Pages 171-184

  10. Parallel Block-Jacobi SVD Methods

    • Martin Bečka, Gabriel Okša, Marián Vajteršic
    Pages 185-197

  11. Robust and Efficient Multifrontal Solver for Large Discretized PDEs

    • Jianlin Xia
    Pages 199-217

  12. A Preconditioned Scheme for Nonsymmetric Saddle-Point Problems

    • Abdelkader Baggag
    Pages 219-250

  13. Effect of Ordering for Iterative Solvers in Structural Mechanics Problems

    • Sami A. Kilic
    Pages 251-260

  14. Scaling Hypre’s Multigrid Solvers to 100,000 Cores

    • Allison H. Baker, Robert D. Falgout, Tzanio V. Kolev, Ulrike Meier Yang
    Pages 261-279

  15. A Riemannian Dennis-Moré Condition

    • Kyle A. Gallivan, Chunhong Qi, P.-A. Absil
    Pages 281-293

  16. A Jump-Start of Non-negative Least Squares Solvers

    • Mu Wang, Xiaoge Wang
    Pages 295-310

  17. Fast Nonnegative Tensor Factorization with an Active-Set-Like Method

    • Jingu Kim, Haesun Park
    Pages 311-326

  18. Knowledge Discovery Using Nonnegative Tensor Factorization with Visual Analytics

    • Andrey A. Puretskiy, Michael W. Berry
    Pages 327-342

  19. Back Matter

    Pages 343-346
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Editors and Affiliations

  • Dept. Electrical Eng. & Computer Science, University of Tennessee, Knoxville, USA

    Michael W. Berry

  • Department of Mathematics, Florida State University, Tallahassee, USA

    Kyle A. Gallivan

  • Dept. Computer Engineering & Informatics, University of Patras, Patras, Greece

    Efstratios Gallopoulos

  • Department of Computer Science, Purdue University, West Lafayette, USA

    Ananth Grama, Faisal Saied

  • IRISA, INRIA Rennes - Bretagne Atlantique, Rennes, France

    Bernard Philippe

  • Dept. of Computer Science & Engineering, University of Minnesota, Minneapolis, USA

    Yousef Saad

Bibliographic Information

  • Book Title: High-Performance Scientific Computing

  • Book Subtitle: Algorithms and Applications

  • Editors: Michael W. Berry, Kyle A. Gallivan, Efstratios Gallopoulos, Ananth Grama, Bernard Philippe, Yousef Saad, Faisal Saied

  • DOI: https://doi.org/10.1007/978-1-4471-2437-5

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Limited 2012

  • Hardcover ISBN: 978-1-4471-2436-8Published: 18 January 2012

  • Softcover ISBN: 978-1-4471-5888-2Published: 22 February 2014

  • eBook ISBN: 978-1-4471-2437-5Published: 18 January 2012

  • Edition Number: 1

  • Number of Pages: XIV, 350

  • Topics: Numeric Computing, Information Storage and Retrieval, Math Applications in Computer Science

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