Advertisement

© 2017

DataFlow Supercomputing Essentials

Research, Development and Education

  • 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

Book

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Research

    1. Front Matter
      Pages 1-1
    2. Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
      Pages 3-18
    3. Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
      Pages 19-66
  3. Development

    1. Front Matter
      Pages 67-67
    2. Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
      Pages 69-105
    3. Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
      Pages 107-129
  4. Education

    1. Front Matter
      Pages 131-131
    2. Veljko Milutinovic, Jakob Salom, Dragan Veljovic, Nenad Korolija, Dejan Markovic, Luka Petrovic
      Pages 133-147
  5. Back Matter
    Pages 149-150

About this book

Introduction

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.​

Keywords

DataFlow Big Data Supercomputing Field-programmable gate array Neural networks

Authors and affiliations

  1. 1.University of BelgradeBelgradeSerbia
  2. 2.Serbian Academy of Sciences and ArtsBelgradeSerbia
  3. 3.Motionlogic GmbHBerlinGermany
  4. 4.University of BelgradeBelgradeSerbia
  5. 5.University of BelgradeBelgradeSerbia
  6. 6.University of BelgradeBelgradeSerbia

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
  • Series Abbreviated Title Computer Communications, Networks
  • DOI https://doi.org/10.1007/978-3-319-66128-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-319-66127-8
  • Softcover ISBN 978-3-319-88184-3
  • eBook ISBN 978-3-319-66128-5
  • 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
  • Buy this book on publisher's site
Industry Sectors
Engineering