Fr. 69.00

Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings

English · Paperback / Softback

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Description

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This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.

List of contents

Various dimensions of parallel algorithms and architectures.- Fundamental theoretical approaches.- Practical experimental projects.- Commercial components and systems.- Beyond the limits of existing technologies.- Experimental efforts, innovative systems, and investigations.- identify weaknesses in existing parallel processing technology.

Product details

Assisted by Pedro Alonso (Editor), Zakirul Alam Bhuiyan (Editor), Jesus Carretero (Editor), Juan C. Díaz-Martín (Editor), Juan Durillo (Editor), Karl Fürlinger (Editor), José Daniel Garcia Sánchez (Editor), Javier Garcia-Blas (Editor), Victor Gergel (Editor), José Gracia (Editor), Alexey L. Lastovetsky (Editor), Qin Liu (Editor), Fabrizio Marozzo (Editor), Iosif Meyerov (Editor), Juan A. Rico-Gallego (Editor), Vladimir Voevodin (Editor), Josef Weidendorfer (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 19.11.2016
 
EAN 9783319499550
ISBN 978-3-31-949955-0
No. of pages 384
Dimensions 160 mm x 30 mm x 240 mm
Weight 622 g
Illustrations XXV, 384 p. 126 illus.
Series Theoretical Computer Science and General Issues
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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