Veljko Milutinovic, Jakob Salom, Nemanja Trifunovic

Broschiertes Buch

Guide to DataFlow Supercomputing

Basic Concepts, Case Studies, and a Detailed Example

Beschreibung

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.

Autor

Veljko Milutinovic is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. He is a member of the Scientific Advisory Board of Maxeler Technologies, and a coauthor of two seminal DataFlow-oriented papers: "Moving from Petaflops (on Simple Benchmarks) to Petadata per Unit of Time and Power (on Sophisticated Benchmarks)" and "FPGA Accelerator for Floating-Point Matrix Multiplication".

Produktdetails

• Computer Communications and Networks
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-36758-3
• Softcover reprint of the original 1st ed. 2015
• Seitenzahl: 129
• Englisch
• Abmessung: 234mm x 155mm x 8mm
• Gewicht: 229g
• ISBN-13: 9783319367583
• ISBN-10: 3319367587
• Artikelnr.: 45999238