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

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2016-10-09
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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 Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
Leidėjas Springer International Publishing
Išleidimo metai 2016
Viršelio tipas Minkšti viršeliai
EAN 9783319367583
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80,18 € 106,90 €