Bültmann & Gerriets
Transactions on Computational Science XXVII
von C. J. Kenneth Tan, Marina L. Gavrilova
Verlag: Springer Berlin Heidelberg
Reihe: Transactions on Computational Science Nr. 9570
Hardcover
ISBN: 978-3-662-50411-6
Auflage: 1st ed. 2016
Erschienen am 15.04.2016
Sprache: Englisch
Format: 235 mm [H] x 155 mm [B] x 9 mm [T]
Gewicht: 248 Gramm
Umfang: 156 Seiten

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Klappentext
Inhaltsverzeichnis

The LNCS journal Transactions on Computational
Science reflects recent developments in the field of Computational Science,
conceiving the field not as a mere ancillary science but rather as an
innovative approach supporting many other scientific disciplines. The journal
focuses on original high-quality research in the realm of computational science
in parallel and distributed environments, encompassing the facilitating
theoretical foundations and the applications of large-scale computations and massive
data processing. It addresses researchers and practitioners in areas ranging
from aerospace to biochemistry, from electronics to geosciences, from
mathematics to software architecture, presenting verifiable computational
methods, findings, and solutions, and enabling industrial users to apply
techniques of leading-edge, large-scale, high performance computational
methods.
This, the 27th issue of the Transactions on
Computational Science journal, is devoted to the topic ofhigh-performance
computing. It contains eight full papers, covering the areas of cloud
middleware, multi-processor systems, quantum computing, optimization, and
secure biometric-based encryption methods.



The Use of
Service Desk System to Keep Track of Computational Tasks on Supercomputers.- Mapping
of Subtractor and Adder-Subtractor Circuits on Reversible Quantum Gates.-
Balancing Load on a Multiprocessor System with Event-Driven Approach.- On
Stability of Difference Schemes for a Class of Nonlinear Switched Systems.- On
Maxwell's Conjecture for Coulomb Potential Generated by Point Charges.-
Application Control and Horizontal Scaling in Modern Cloud Middleware.- A
Built-in Self-repair Circuit for Restructuring Mesh-Connected Processor.- Secure
Encryption Method for Biometric Templates Based on Chaotic Theory.


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