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Guide to dataflow supercomputing = b...

Milutinovic, Veljko.

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Guide to dataflow supercomputing = basic concepts, case studies, and a detailed example /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Guide to dataflow supercomputing/ by Veljko Milutinovic ... [et al.].
Reminder of title:	basic concepts, case studies, and a detailed example /
other author:	Milutinovic, Veljko.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	ix, 129 p. :ill., digital ;24 cm.
[NT 15003449]:	The DataFlow Paradigm -- Selected Case Studies -- An Example Application: Fourier Transform -- Using the WebIDE.
Contained By:	Springer eBooks
Subject:	High performance computing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-16229-4
ISBN:	9783319162294 (electronic bk.)

Guide to dataflow supercomputing = basic concepts, case studies, and a detailed example /
Guide to dataflow supercomputingbasic concepts, case studies, and a detailed example /[electronic resource] :by Veljko Milutinovic ... [et al.]. - Cham :Springer International Publishing :2015. - ix, 129 p. :ill., digital ;24 cm. - Computer communications and networks,1617-7975. - Computer communications and networks..

The DataFlow Paradigm -- Selected Case Studies -- An Example Application: Fourier Transform -- Using the WebIDE.

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 Draws from the authors' extensive experience in both academic teaching and industrial research Students, lecturers, and researchers in industry will find this concise book to be an ideal supplementary text for courses and seminars on VLSI, multi-core systems, and DataFlow computing. Dr. Veljko Milutinovic is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. His publications include the Springer title Application and Multidisciplinary Aspects of Wireless Sensor Networks. Dr. Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. Dr. Roberto Giorgi is an Associate Professor of Computer Engineering at the University of Siena, Italy.

ISBN: 9783319162294 (electronic bk.)

Standard No.: 10.1007/978-3-319-16229-4doiSubjects--Topical Terms:

591827
High performance computing.

LC Class. No.: QA76.88

Dewey Class. No.: 004.11

Guide to dataflow supercomputing = basic concepts, case studies, and a detailed example /
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245 0 0 $a Guide to dataflow supercomputing $h [electronic resource] : $b basic concepts, case studies, and a detailed example / $c by Veljko Milutinovic ... [et al.].
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505 0 $a The DataFlow Paradigm -- Selected Case Studies -- An Example Application: Fourier Transform -- Using the WebIDE.
520 $a 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 Draws from the authors' extensive experience in both academic teaching and industrial research Students, lecturers, and researchers in industry will find this concise book to be an ideal supplementary text for courses and seminars on VLSI, multi-core systems, and DataFlow computing. Dr. Veljko Milutinovic is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. His publications include the Springer title Application and Multidisciplinary Aspects of Wireless Sensor Networks. Dr. Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. Dr. Roberto Giorgi is an Associate Professor of Computer Engineering at the University of Siena, Italy.
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