Exploring the DataFlow Supercomputing Paradigm

Name: Exploring the DataFlow Supercomputing Paradigm
Brand: Springer Nature Switzerland AG
SKU: 9783030138028
Price: 228.07 PLN
Availability: InStock

Autor: Veljko Milutinovic, Milos Kotlar

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Oprawa: Twarda

Wydawca: Springer Nature Switzerland AG

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This useful text/reference describes the implementation of a varied selection of algorithms in the D...

Informacje o książce

Autor

Veljko Milutinovic, Milos Kotlar

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2019

strony

315

EAN

9783030138028

ISBN

303013802X

Enbook ID

21261154

Wydawca

Springer Nature Switzerland AG

Waga

792

Wymiary

162 x 21 x 22

Pełny opis

This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business.The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing.Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm.This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.

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