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.
| ISBN: | 9783319367583 |
| Publication date: | 9th October 2016 |
| Author: | Veljko MilutinoviÔc, Jakob Salom, Nemanja TrifunoviÔc, Roberto Giorgi |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 129 pages |
| Series: | Computer Communications and Networks |
| Genres: |
Computer hardware Expert systems / knowledge-based systems Software Engineering Data mining Systems analysis and design |