Authors:
- Reviews the advantages of the DataFlow paradigm for supercomputing
- Introduces the DataFlow programming model
- Provides a selection of research analyses, implementation case studies, and tutorials on DataFlow computing
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (5 chapters)
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Front Matter
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Development
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Front Matter
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Education
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Front Matter
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Back Matter
About this book
This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology.
This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples.
Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online.
This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.
Authors and Affiliations
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University of Belgrade, Belgrade, Serbia
Veljko Milutinovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
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Serbian Academy of Sciences and Arts, Belgrade, Serbia
Jakob Salom
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Motionlogic GmbH, Berlin, Germany
Dragan Veljovic
Bibliographic Information
Book Title: DataFlow Supercomputing Essentials
Book Subtitle: Research, Development and Education
Authors: Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-66128-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-66127-8Published: 16 November 2017
Softcover ISBN: 978-3-319-88184-3Published: 25 August 2018
eBook ISBN: 978-3-319-66128-5Published: 30 October 2017
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XI, 150
Number of Illustrations: 8 b/w illustrations, 63 illustrations in colour
Topics: Operating Systems, System Performance and Evaluation, Computer Engineering, Big Data