Overview
- Describes an exciting new approach to programming supercomputers for data mining
- Explains how to modify algorithms to fit the DataFlow environment
- Presents simple yet effective examples, drawn from the industrial experience of the authors
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Veljko Milutinović 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”.
Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. He has delivered numerous DataFlow courses at a number of European universities.
Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. He is the author of a number of Maxeler-based DataFlow implementations and related tools.
Roberto Giorgi is an Associate Professor of Computer Engineering at the University of Siena, Italy. He led TERAFLUX, the largest EU funded research project on DataFlow technologies.
Bibliographic Information
Book Title: Guide to DataFlow Supercomputing
Book Subtitle: Basic Concepts, Case Studies, and a Detailed Example
Authors: Veljko Milutinović, Jakob Salom, Nemanja Trifunovic, Roberto Giorgi
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-16229-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-16228-7Published: 12 May 2015
Softcover ISBN: 978-3-319-36758-3Published: 09 October 2016
eBook ISBN: 978-3-319-16229-4Published: 28 April 2015
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: IX, 129
Number of Illustrations: 94 b/w illustrations
Topics: Input/Output and Data Communications, Data Mining and Knowledge Discovery, Software Engineering, Computer System Implementation