Description 
1 online resource 
Series 
Computer communications and networks 

Computer communications and networks.

Contents 
Part I: Algorithms  Implementing Neural Networks by Using the DataFlow Paradigm  Part II: Applications  Solving the Poisson Equation by Using Dataflow Technology  Binary Search in the DataFlow Paradigm  Part III: Implementations  Introductory Overview on Implementation Tools  DataFlow Systems: From Their Origins to Future Applications in Data Analytics, Deep Learning, and the Internet of Things 
Summary 
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 threedimensional 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 
Bibliography 
Includes bibliographical references and index 
Notes 
Online resource; title from PDF title page (Ebsco, viewed December 21, 2017) 
Subject 
Data flow computing.


Supercomputers.


Systems analysis & design.


Computer science.


Databases.


Operating systems.


COMPUTERS  Computer Literacy.


COMPUTERS  Computer Science.


COMPUTERS  Data Processing.


COMPUTERS  Hardware  General.


COMPUTERS  Information Technology.


COMPUTERS  Machine Theory.


COMPUTERS  Reference.


Data flow computing


Supercomputers

Form 
Electronic book

Author 
MilutinoviÄ‡, Veljko, author.


Kotlar, Milos, author


Stojanovic, Marko, author


Dundic, Igor, author


Trifunovic, Nemanja (Writer on computing), author.


Babovic, Zoran, author

ISBN 
9783319661254 

3319661256 
