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Guide to DataFlow Supercomputing

Basic Concepts, Case Studies, and a Detailed Example

  • Book
  • © 2015

Overview

Authors:
  1. Veljko Milutinović

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

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  2. Jakob Salom

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

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  3. Nemanja Trifunovic

    1. MISANU, Maxeler Technologies Inc., Palo Alto, USA

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  4. Roberto Giorgi

    1. University of Siena, Italy

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  • Describes an exciting new approach to programming supercomputers for data mining
  • Explains how to modify algorithms to fit the DataFlow environment
  • Presents simple yet effective examples, drawn from the industrial experience of the authors

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

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-ix
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  2. The DataFlow Paradigm

    • Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
    Pages 1-39

  3. Selected Case Studies

    • Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
    Pages 41-72

  4. An Example Application: Fourier Transform

    • Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
    Pages 73-106

  5. Using the WebIDE

    • Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
    Pages 107-122

  6. Back Matter

    Pages 123-129
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Keywords

About this book

This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.

Authors and Affiliations

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

    Veljko Milutinović

  • School of Electrical Engineering, MISANU, Belgrade, Serbia

    Jakob Salom

  • MISANU, Maxeler Technologies Inc., Palo Alto, USA

    Nemanja Trifunovic

  • University of Siena, Italy

    Roberto Giorgi

About the authors

Veljko Milutinović is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. He is a member of the Scientific Advisory Board of Maxeler Technologies, and a coauthor of two seminal DataFlow-oriented papers: “Moving from Petaflops (on Simple Benchmarks) to Petadata per Unit of Time and Power (on Sophisticated Benchmarks)” and “FPGA Accelerator for Floating-Point Matrix Multiplication”.

Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. He has delivered numerous DataFlow courses at a number of European universities.

Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. He is the author of a number of Maxeler-based DataFlow implementations and related tools.

Roberto Giorgi is an Associate Professor of Computer Engineering at the University of Siena, Italy. He led TERAFLUX, the largest EU funded research project on DataFlow technologies.

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