DataFlow Supercomputing Essentials: Research, Development and Education (Computer Communications and Networks). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Buch 37 von 45 - Computer Communications and Networks
- Softcover
- Neu

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Artikelbeschreibung des Verkäufers
reprint edition. 164 pages. 9.25x6.10x0.37 inches. In Stock.
Bestandsnummer des Verkäufers 3319881841
- Titel
- DataFlow Supercomputing Essentials: Research, Development and Education (Computer Communications and Networks)
- Autor
- Veljko Milutinovic
- Verlag
- Springer
- Erscheinungsjahr
- 2018
- Zustand
- Brand New
- Einband
- Paperback
- Sprache
- Englisch
- ISBN-10
- 3319881841
- ISBN-13
- 9783319881843
- Artikelgewicht
- 0,35 Kilogramm
- Serie
- Buch 37 von 45: Computer Communications and Networks
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.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
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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.
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.