Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example

✍ Scribed by Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi (auth.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 136
• Series: Computer Communications and Networks
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-ix
The DataFlow Paradigm....Pages 1-39
Selected Case Studies....Pages 41-72
An Example Application: Fourier Transform....Pages 73-106
Using the WebIDE....Pages 107-122
Back Matter....Pages 123-129

✦ Subjects

Input/Output and Data Communications; Data Mining and Knowledge Discovery; Software Engineering; Computer System Implementation