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DataFlow Supercomputing Essentials

Algorithms, Applications and Implementations

  • Book
  • © 2017

Overview

Authors:
  1. Veljko Milutinovic

    1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

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  2. Milos Kotlar

    1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

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  3. Marko Stojanovic

    1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

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  4. Igor Dundic

    1. University of Bern, Bern/Fribourg/Neuchâtel, Switzerland

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  5. Nemanja Trifunovic

    1. Maxeler Technologies, London, United Kingdom

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  6. Zoran Babovic

    1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

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  • Reviews the advantages of the DataFlow paradigm for supercomputing
  • Introduces the DataFlow programming model
  • Provides a selection of algorithm examples that illuminate the DataFlow paradigm

Part of the book series: Computer Communications and Networks (CCN)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xi
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  2. Algorithms

    1. Front Matter

      Pages 1-1
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    2. Implementing Neural Networks by Using the DataFlow Paradigm

      • Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
      Pages 3-44

  3. Applications

    1. Front Matter

      Pages 45-45
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    2. Solving the Poisson Equation by Using DataFlow Technology

      • Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
      Pages 47-92

    3. Binary Search in the DataFlow Paradigm

      • Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
      Pages 93-107

  4. Implementations

    1. Front Matter

      Pages 109-109
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    2. Introductory Overview on Implementation Tools

      • Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
      Pages 111-126

    3. DataFlow Systems: From Their Origins to Future Applications in Data Analytics, Deep Learning, and the Internet of Things

      • Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic
      Pages 127-148

  5. Back Matter

    Pages 149-150
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Keywords

About this book

This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the programming model requires a distinctly different approach. The algorithms and examples showcased in this book will help the reader to develop their understanding of the advantages and unique features of this methodology.

This work serves as a companion title to DataFlow Supercomputing Essentials: Research, Development and Education, which analyzes the latest research in this area, and the training resources available.

Topics and features: presents an implementation of Neural Networks using the DataFlow paradigm, as an alternative to the traditional ControlFlow approach; discusses a solution to the three-dimensional Poisson equation, using the Fourier method and DataFlow technology; examines how the performance of the Binary Search algorithm can be improved through implementation on a DataFlow architecture; reviews the different way of thinking required to best configure the DataFlow engines for the processing of data in space flowing through the devices; highlights how the DataFlow approach can efficiently support applications in big data analytics, deep learning, and the Internet of Things.

This indispensable volume will benefit all researchers interested in 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 an invaluable resource.

Authors and Affiliations

  • School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

    Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Zoran Babovic

  • University of Bern, Bern/Fribourg/Neuchâtel, Switzerland

    Igor Dundic

  • Maxeler Technologies, London, United Kingdom

    Nemanja Trifunovic

Bibliographic Information

  • Book Title: DataFlow Supercomputing Essentials

  • Book Subtitle: Algorithms, Applications and Implementations

  • Authors: Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic

  • Series Title: Computer Communications and Networks

  • DOI: https://doi.org/10.1007/978-3-319-66125-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-66124-7Published: 22 December 2017

  • Softcover ISBN: 978-3-319-88183-6Published: 04 September 2018

  • eBook ISBN: 978-3-319-66125-4Published: 11 December 2017

  • Series ISSN: 1617-7975

  • Series E-ISSN: 2197-8433

  • Edition Number: 1

  • Number of Pages: XI, 150

  • Number of Illustrations: 2 b/w illustrations, 50 illustrations in colour

  • Topics: Operating Systems, System Performance and Evaluation, Computer Engineering, Big Data

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