Guide to DataFlow Supercomputing
Synopsis
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.
- प्रतिलिपि अधिकार:
- 2015 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9783319162294
- Publisher:
- Springer International Publishing, Cham
- Date of Addition:
- 2016-10-28T15:22:13Z
- भाषा:
- English
- Categories:
- Usage Restrictions:
- This is a copyrighted book.