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

Milutinovic, M., Salom, J., Trifunovic, N., Giorgi, R. (2015). Guide to DataFlow Supercomputing. Berlin : Springer [10.1007/978-3-319-16229-4].

Guide to DataFlow Supercomputing

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
2015
978-3-319-16228-7
978-3-319-16229-4
Milutinovic, M., Salom, J., Trifunovic, N., Giorgi, R. (2015). Guide to DataFlow Supercomputing. Berlin : Springer [10.1007/978-3-319-16229-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/977120