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  • Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)
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Graph Algorithms in the Language of Linear Algebra (Software, Environments, and Tools)

by Jeremy Kepner (Author), John Gilbert (Author)

The field of graph algorithms has become one of the pillars of theoretical computer science, informing research in such diverse areas as combinatorial optimization, complexity theory and topology. To improve the computational performance of graph algorithms, researchers have proposed a shift to a parallel computing paradigm. This book addresses the challenges of implementing parallel graph algorithms by exploiting the well-known duality between a canonical representation of graphs as abstract collections of vertices and edges and a sparse adjacency matrix representation. This linear algebraic approach is widely accessible to scientists and engineers who may not be formally trained in computer science. The authors show how to leverage existing parallel matrix computation techniques and the large amount of software infrastructure that exists for these computations to implement efficient and scalable parallel graph algorithms. The benefits of this approach are reduced algorithmic complexity, ease of implementation and improved performance.
  1. ISBN-10
    0898719909
  2. ISBN-13
    978-0898719901
  3. Publisher
    Society for Industrial and Applied Mathematics
  4. Publication date
    August 4, 2011
  5. Language
    English
  6. Dimensions
    7.25 x 1 x 10.5 inches
  7. Print length
    375 pages

Editorial Reviews

Book Description

An introduction to graph algorithms accessible to those without a computer science background.

About the Author

Jeremy Kepner is a senior technical staff member at the Massachusetts Institute of Technology Lincoln Laboratory. His research focuses on the development of advanced libraries for the application of massively parallel computing to a variety of data intensive signal processing problems on which he has published many articles.

John Gilbert is a SIAM Fellow and Professor of Computer Science at the University of California, Santa Barbara. His research interests are in combinatorial scientific computing, high-performance graph algorithms, tools and software for computational science and engineering, numerical linear algebra and distributed sensing and control.

Product details

  • Publisher ‏ : ‎ Society for Industrial and Applied Mathematics
  • Publication date ‏ : ‎ August 4, 2011
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 375 pages
  • ISBN-10 ‏ : ‎ 0898719909
  • ISBN-13 ‏ : ‎ 978-0898719901
  • Item Weight ‏ : ‎ 2.15 pounds
  • Dimensions ‏ : ‎ 7.25 x 1 x 10.5 inches
  • Best Sellers Rank: #1,252,723 in Books (See Top 100 in Books)
  • Customer Reviews:

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  • Vicente
    5.0 out of 5 stars very well written
    Reviewed in Spain on May 26, 2016
    Format: HardcoverVerified Purchase
    Clear explanations, charts help quite a lot actually.
    Easier and lighter read than it looks, don't let the title scare you :-)