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Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example. Softcover reprint of the original 1st ed. 2015
・ISBN 978-3-319-36758-3 paper EUR 49.99
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お気に入り
★★★
| 著者・編者 | Milutinovic, Veljko / Salom, Jakob / Trifunovic, Nemanja / Giorgi, Roberto, |
|---|---|
| シリーズ | (Computer Communications and Networks) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 129 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-49290＞ |
解説
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.