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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 236)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Starting with simple, two-dimensional, diamond-shaped directed acyclic graphs, the analysis is extended to more complex and higher dimensional directed acyclic graphs. The analysis allows for the quantification of the computation and communication costs and their interdependencies. The practical significance of these results on the performance of various data distribution schemes is clearly explained. Using these results, the performance of the parallel computations are formulated in an architecture independent fashion. These formulations allow for the parameterization of the architecture specitific entities such as the computation and communication rates. This type of parameterized performance analysis can be used at compile time or at run-time so as to achieve the most optimal distribution of the computations.
The material in Multiprocessing: Trade-Offs in Computation and Communication connects theory with practice, so that the inherent performance limitations in many computations can be understood, and practical methods can be devised that would assist in the development of software for scalable high performance systems.
Authors and Affiliations
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Institute for Computer Applications in Science and Engineering, USA
Vijay K. Naik
Bibliographic Information
Book Title: Multiprocessing
Book Subtitle: Trade-Offs in Computation and Communication
Authors: Vijay K. Naik
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-3196-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1993
Hardcover ISBN: 978-0-7923-9370-2Published: 31 July 1993
Softcover ISBN: 978-1-4613-6402-3Published: 27 September 2012
eBook ISBN: 978-1-4615-3196-8Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXI, 198
Topics: Processor Architectures, Computational Mathematics and Numerical Analysis