This book is meant to support teaching of the DataFlow subject. University courses fully or partially dedicated to the DataFlow subject are important for the following reason: More and more Big Data are present in all kinds of research or commercial challenges. Consequently, the DataFlow paradigmis getting importance, since it has been proven that it is the most suitable computing paradigm for Big Data. It offers superior speedups (depending on the application, from about 20 to about 200, even 2000 in some isolated cases) as well as power savings (typically about 20 times); it brings size reduction too. A recent study by researchers of the Tsinghua University in China reveals that for Shallow Water Weather Forecast (a Big Data problem), on the 1U level, compared to Tianhe-2 (at the time of writing of this book, rated #1 on the Top 500 SuperComputers list, which compares SuperComputers based on Linpack, a small data benchmark), Maxeler (a DataFlow machine) demonstrates the speedup of 14. With all the above in mind, the book is divided into four chapters: The first one is of an introductory nature. The second gives an overview of the related research. The third represents a case study. The fourth one is oriented to the ease of use and covers the issues of importance forWebIDE (a web-based integrated development environment).

Milutinovic, V., Salom, J., Trifunovic, N., Giorgi, R. (2015). Postscript to [Guide to DataFlow Supercomputing Basic Concepts, Case Studies, and a Detailed Example], 125-125.

Postscript to [Guide to DataFlow Supercomputing Basic Concepts, Case Studies, and a Detailed Example]

GIORGI, ROBERTO
Writing – Review & Editing
2015-01-01

Abstract

This book is meant to support teaching of the DataFlow subject. University courses fully or partially dedicated to the DataFlow subject are important for the following reason: More and more Big Data are present in all kinds of research or commercial challenges. Consequently, the DataFlow paradigmis getting importance, since it has been proven that it is the most suitable computing paradigm for Big Data. It offers superior speedups (depending on the application, from about 20 to about 200, even 2000 in some isolated cases) as well as power savings (typically about 20 times); it brings size reduction too. A recent study by researchers of the Tsinghua University in China reveals that for Shallow Water Weather Forecast (a Big Data problem), on the 1U level, compared to Tianhe-2 (at the time of writing of this book, rated #1 on the Top 500 SuperComputers list, which compares SuperComputers based on Linpack, a small data benchmark), Maxeler (a DataFlow machine) demonstrates the speedup of 14. With all the above in mind, the book is divided into four chapters: The first one is of an introductory nature. The second gives an overview of the related research. The third represents a case study. The fourth one is oriented to the ease of use and covers the issues of importance forWebIDE (a web-based integrated development environment).
2015
978-3-319-16228-7
Milutinovic, V., Salom, J., Trifunovic, N., Giorgi, R. (2015). Postscript to [Guide to DataFlow Supercomputing Basic Concepts, Case Studies, and a Detailed Example], 125-125.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1003309