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Transactions on Computational Science XXVII
Details
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.
Devoted to High-Performance Computing Topics range from optimization and security to multi-processor systems and quantum computing Focuses on diverse applications
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783662504116
- Genre Information Technology
- Auflage 1st edition 2016
- Editor C. J. Kenneth Tan, Marina L. Gavrilova
- Lesemotiv Verstehen
- Anzahl Seiten 156
- Größe H235mm x B155mm x T9mm
- Jahr 2016
- EAN 9783662504116
- Format Kartonierter Einband
- ISBN 3662504111
- Veröffentlichung 15.04.2016
- Titel Transactions on Computational Science XXVII
- Untertitel Lecture Notes in Computer Science 9570 - Transactions on Computational Science
- Gewicht 248g
- Herausgeber Springer Berlin Heidelberg
- Sprache Englisch