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Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example - Veljko Milutinovi¿,Nemanja Trifunovic,Roberto Giorgi,Jakob Salom

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2015-05-12
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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 ... Visas aprašymas

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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 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.

Daugiau informacijos

Autorius Veljko Milutinovi¿, Nemanja Trifunovic, Roberto Giorgi, Jakob Salom
Leidėjas Springer Nature Switzerland
Series Computer Communications and Networks
Išleidimo metai 2015
Viršelio tipas Kieti viršeliai
EAN 9783319162287
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63,51 € 84,68 €