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.
| Autorius: | Veljko Milutinovi¿, Roberto Giorgi, Nemanja Trifunovic, Jakob Salom, |
| Serija: | Computer Communications and Networks |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 140 |
| ISBN-10: | 3319162284 |
| ISBN-13: | 9783319162287 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Expert systems / knowledge-based systems |
Parašykite atsiliepimą apie „Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example“
