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.

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.


Book Information
ISBN 9780898719901
Author Jeremy Kepner
Format Hardback
Page Count 375
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 990g
Dimensions(mm) 261mm * 182mm * 23mm