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DataFlow Supercomputing Essentials  - Research, Development and Education
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DataFlow Supercomputing Essentials

Research, Development and Education

Softcover reprint of the original 1st ed. 2017 - Erschienen 2018.

Gepflegter, sauberer Zustand. 38261215/1002
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Neural networks, Big Data, Supercomputing, Field-programmable gate array, DataFlow,

Produktart:
📚 Bücher
Autor(en):
Milutinovic, Veljko, Jakob Salom und Dragan Veljovic:
Anbieter:
Buchpark GmbH
Bestell-Nr.:
382612151002
Katalog:
Varia
ISBN | EAN:
3319881841 | 9783319881843
Stichworte:
Neural, networks, Data, Supercomputing, Field-programmable, gate, array, DataFlow
Zahlungsarten:
Vorauskasse, PayPal
Gebraucht, sehr gut 86,44 EUR 77,80 EUR Kostenloser Versand
Sonderaktion: 10% Rabatt bis 05.11.2026
DataFlow Supercomputing Essentials  - Research, Development and Education
DataFlow Supercomputing Essentials
Gebraucht, sehr gut
86,44 EUR 77,80 EUR
Kostenloser Versand
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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