Guide to DataFlow Supercomputing

Basic Concepts, Case Studies, and a Detailed Example

Nonfiction, Computers, Networking & Communications, Electronic Data Interchange, Database Management, General Computing
Cover of the book Guide to DataFlow Supercomputing by Roberto Giorgi, Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Springer International Publishing
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Author: Roberto Giorgi, Veljko Milutinović, Jakob Salom, Nemanja Trifunovic ISBN: 9783319162294
Publisher: Springer International Publishing Publication: April 28, 2015
Imprint: Springer Language: English
Author: Roberto Giorgi, Veljko Milutinović, Jakob Salom, Nemanja Trifunovic
ISBN: 9783319162294
Publisher: Springer International Publishing
Publication: April 28, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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