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High-Performance Scientific Computing

Algorithms and Applications

Editors: Berry, M.W., Gallivan, K.A., Gallopoulos, E., Grama, A., Philippe, B., Saad, Y., Saied, F. (Eds.)

  • 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
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  • ISBN 978-1-4471-2437-5
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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.

Table of contents (17 chapters)

  • Parallel Numerical Computing from Illiac IV to Exascale—The Contributions of Ahmed H. Sameh

    Gallivan, Kyle A. (et al.)

    Pages 1-44

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  • Computational Capacity-Based Codesign of Computer Systems

    Kuck, David J.

    Pages 45-73

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  • Measuring Computer Performance

    Jalby, William (et al.)

    Pages 75-95

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

    Spek, Harmen L. A. (et al.)

    Pages 97-122

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  • Dense Linear Algebra on Accelerated Multicore Hardware

    Dongarra, Jack (et al.)

    Pages 123-146

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Buy this book

eBook n/a
  • ISBN 978-1-4471-2437-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-1-4471-2436-8
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-1-4471-5888-2
  • Free shipping for individuals worldwide
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Bibliographic Information

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
Copyright
2012
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-1-4471-2437-5
DOI
10.1007/978-1-4471-2437-5
Hardcover ISBN
978-1-4471-2436-8
Softcover ISBN
978-1-4471-5888-2
Edition Number
1
Number of Pages
XIV, 350
Topics