Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example - Veljko Milutinovi¿,Nemanja Trifunovic,Roberto Giorgi,Jakob Salom
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This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more t ... Full description
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Description
This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.
More Information
| Author | Veljko Milutinovi¿, Nemanja Trifunovic, Roberto Giorgi, Jakob Salom |
|---|---|
| Publisher | Springer Nature Switzerland |
| Series | Computer Communications and Networks |
| Release year | 2015 |
| Cover type | Hardcover |
| EAN | 9783319162287 |