DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations

✍ Scribed by Veljko Milutinovic,Milos Kotlar,Marko Stojanovic,Igor Dundic,Nemanja Trifunovic,Zoran Babovic (auth.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 157
Series: Computer Communications and Networks
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the programming model requires a distinctly different approach. The algorithms and examples showcased in this book will help the reader to develop their understanding of the advantages and unique features of this methodology.

This work serves as a companion title to DataFlow Supercomputing Essentials: Research, Development and Education, which analyzes the latest research in this area, and the training resources available.

Topics and features: presents an implementation of Neural Networks using the DataFlow paradigm, as an alternative to the traditional ControlFlow approach; discusses a solution to the three-dimensional Poisson equation, using the Fourier method and DataFlow technology; examines how the performance of the Binary Search algorithm can be improved through implementation on a DataFlow architecture; reviews the different way of thinking required to best configure the DataFlow engines for the processing of data in space flowing through the devices; highlights how the DataFlow approach can efficiently support applications in big data analytics, deep learning, and the Internet of Things.

This indispensable volume will benefit all researchers interested in 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 an invaluable resource.

✦ Table of Contents

Front Matter ....Pages i-xi
Front Matter ....Pages 1-1
Implementing Neural Networks by Using the DataFlow Paradigm (Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic)....Pages 3-44
Front Matter ....Pages 45-45
Solving the Poisson Equation by Using DataFlow Technology (Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic)....Pages 47-92
Binary Search in the DataFlow Paradigm (Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic)....Pages 93-107
Front Matter ....Pages 109-109
Introductory Overview on Implementation Tools (Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic)....Pages 111-126
DataFlow Systems: From Their Origins to Future Applications in Data Analytics, Deep Learning, and the Internet of Things (Veljko Milutinovic, Milos Kotlar, Marko Stojanovic, Igor Dundic, Nemanja Trifunovic, Zoran Babovic)....Pages 127-148
Back Matter ....Pages 149-150

✦ Subjects

Operating Systems

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