DataFlow Supercomputing Essentials
Language: English
Published by Springer International Publishing, 2017
Series: Book 37 of 45 - Computer Communications and Networks
- Hardcover
- New
Condition: New
£ 80.29
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reviews the advantages of the DataFlow paradigm for supercomputingIntroduces the DataFlow programming modelProvides a selection of research analyses, implementation case studies, and tutorials on DataFlow computingThis informativ.
Seller Inventory # 155784501
- Title
- DataFlow Supercomputing Essentials
- Author
- Veljko Milutinovic|Jakob Salom|Dragan Veljovic|Nenad Korolija|Dejan Markovic|Luka Petrovic
- Publisher
- Springer International Publishing
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319661272
- ISBN 13
- 9783319661278
- Series
- Book 37 of 45: Computer Communications and Networks
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology.
This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples.
Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online.
This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology.
This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples.
Topics and features:
- Reviews the library of tools, applications, and source code available to support DataFlow programming
- Discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools
- Examines when a DataFlow architecture is best applied, and for which types of calculation
- Describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption
- Explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online
This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.
"About the title" may belong to another edition of this title.
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