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Guide to Dataflow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example - Couverture rigide
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Veljko Milutinovic 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer International Publishing AG
- Date d'édition2015
- ISBN 10 3319162284
- ISBN 13 9783319162287
- ReliureRelié
- Langueanglais
- Nombre de pages129
- Coordonnées du fabricantnon disponible
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Guide to DataFlow Supercomputing : Basic Concepts, Case Studies, and a Detailed Example
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Springer International Publishing, 2015
ISBN 10 : 3319162284
ISBN 13 : 9783319162287
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Guide to DataFlow Supercomputing. Basic Concepts, Case Studies, and a Detailed Example.
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ISBN 10 : 3319162284
ISBN 13 : 9783319162287
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ix, 129 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 6053IB
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Guide to DataFlow Supercomputing
Edité par
Springer International Publishing, 2015
ISBN 10 : 3319162284
ISBN 13 : 9783319162287
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes an exciting new approach to programming supercomputers for data miningExplains how to modify algorithms to fit the DataFlow environmentPresents simple yet effective examples, drawn from the industrial experience of the authors. N° de réf. du vendeur 30532124
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Guide to DataFlow Supercomputing : Basic Concepts, Case Studies, and a Detailed Example
Edité par
Springer International Publishing, 2015
ISBN 10 : 3319162284
ISBN 13 : 9783319162287
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319162287
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Guide to DataFlow Supercomputing
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Springer International Publishing Mai 2015, 2015
ISBN 10 : 3319162284
ISBN 13 : 9783319162287
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 140 pp. Englisch. N° de réf. du vendeur 9783319162287
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Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example (Computer Communications and Networks)
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Guide to Dataflow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example (Hardback or Cased Book)
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Hardback or Cased Book. Etat : New. Guide to Dataflow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example 0.83. Book. N° de réf. du vendeur BBS-9783319162287
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Guide to DataFlow Supercomputing
ISBN 10 : 3319162284
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Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch. N° de réf. du vendeur 9783319162287
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Guide to Dataflow Supercomputing : Basic Concepts, Case Studies, and a Detailed Example
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