Description
DataFlow Supercomputing Essentials, 1st ed. 2017
Research, Development and Education
Computer Communications and Networks Series
Authors: Milutinovic Veljko, Salom Jakob, Veljovic Dragan, Korolija Nenad, Markovic Dejan, Petrovic Luka
Language: English
Subjects for DataFlow Supercomputing Essentials:
Approximative price 105.49 €
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the print on demand of Milutinovic Veljko, Salom Jakob, Veljovic Dragan, Korolija Nenad, Markovic Dejan, Petrovic Luka
Publication date: 08-2018
Support: Print on demand
Approximative price 105.49 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Milutinovic Veljko, Salom Jakob, Veljovic Dragan, Korolija Nenad, Markovic Dejan, Petrovic Luka
Publication date: 11-2017
Support: Print on demand
Description
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This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology.
This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples.
Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online.
This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.
Maxeler AppGallery Revisited
Discrepancy Reduction Between the Topology of DataFlow Graph and the Topology of FPGA Structure
Part II Development
Polynomial and Rational Functions
Transforming Applications from the Control Flow to the DataFlow Paradigm
Part III Education
Mini Tutorial
Reviews the advantages of the DataFlow paradigm for supercomputing
Introduces the DataFlow programming model
Provides a selection of research analyses, implementation case studies, and tutorials on DataFlow computing
