Guide to DataFlow Supercomputing

Guide to DataFlow Supercomputing
Author :
Publisher : Springer
Total Pages : 136
Release :
ISBN-10 : 9783319162294
ISBN-13 : 3319162292
Rating : 4/5 (292 Downloads)

Book Synopsis Guide to DataFlow Supercomputing by : Veljko Milutinović

Download or read book Guide to DataFlow Supercomputing written by Veljko Milutinović and published by Springer. This book was released on 2015-04-28 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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