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DataFlow Supercomputing Essentials - Research, Development and Education (Hardcover, 1st ed. 2017)
Loot Price: R3,053
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DataFlow Supercomputing Essentials - Research, Development and Education (Hardcover, 1st ed. 2017)
Series: Computer Communications and Networks
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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.
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