Guide to DataFlow Supercomputing - Basic Concepts, Case Studies, and a Detailed Example (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computer Communications and Networks
Release date:	October 2016
First published:	2015
Authors:	Veljko Milutinovic • Jakob Salom • Nemanja Trifunovic • Roberto Giorgi
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	129
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-36758-3
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-36758-7
Barcode:	9783319367583

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