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By Edward Puchala (auth.), Peter M. A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya (eds.)
Some of the main not easy difficulties in technological know-how and engineering are being addressed via the mixing of computation and technology, a study ?eld often called computational technological know-how. Computational technological know-how performs an important position in primary advances in biology, physics, chemistry, astronomy, and a bunch of alternative disciplines. this can be in the course of the coordination of computation, info administration, entry to instrumentation, wisdom synthesis, and using new units. It has an impression on researchers and practitioners within the sciences and past. The sheer dimension of many demanding situations in computational technological know-how dictates using supercomputing, parallel and distri- ted processing, grid-based processing, complex visualization and complicated algorithms. on the sunrise of the twenty first century the sequence of overseas meetings on Computational technology (ICCS) used to be initiated with a ?rst assembly in may possibly 2001 in San Francisco. The luck of that assembly prompted the association of the - cond assembly held in Amsterdam April 21–24, 2002, the place over 500 individuals driven the study ?eld extra. The overseas convention on Computational technological know-how 2003 (ICCS 2003) is the follow-up to those previous meetings. ICCS 2003 is exclusive, in that it used to be a unmarried occasion held at di?erent websites virtually contrary one another at the globe – Melbourne, Australia and St. Petersburg, Russian Federation. The convention ran at the related dates at either destinations and all of the awarded paintings was once released in one set of lawsuits, that you carry on your palms correct now.
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Extra info for Computational Science — ICCS 2003: International Conference, Melbourne, Australia and St. Petersburg, Russia June 2–4, 2003 Proceedings, Part III
Example text
275 Jes´ us Acosta-Elias, Leandro Navarro-Moldes Performance Analysis of a Parallel Application in the GRID . . . . . . 285 Holger Brunst, Edgar Gabriel, Marc Lange, Matthias S. M¨ uller, Wolfgang E. Nagel, Michael M. Resch XXXVI Table of Contents, Part II Workshop on Computational Chemistry and Molecular Dynamics Linear Algebra Computation Benchmarks on a Model Grid Platform . . 297 Loriano Storchi, Carlo Manuali, Osvaldo Gervasi, Giuseppe Vitillaro, Antonio Lagan` a, Francesco Tarantelli Uniform Access to the Distributed Resources for the Computational Chemistry Using UNICORE .
766 Francisco J. Ferrer-Troyano, Jes´ us S. Aguilar-Ruiz, Jos´e C. Riquelme Replicated Ambient Petri Nets . . . . . . . . . . . . . . . . . . . 774 David de Frutos Escrig, Olga Marroqu´ın Alonso Neural Networks for Event Detection from Time Series: A BP Algorithm Approach . . . . . . . . . . . . . . . . . . . . . . . 784 Dayong Gao, Y. Kinouchi, K. Ito Data Loss Reparation Due to Indeterminate Fine-Grained Parallel Computation .
H. Su, George Em Karniadakis Driving Scientific Applications by Data in Distributed Environments . . 355 Joel Saltz, Umit Catalyurek, Tahsin Kurc, Mike Gray, Shannon Hastings, Steve Langella, Sivaramakrishnan Narayanan, Ryan Martino, Steven Bryant, Malgorzata Peszynka, Mary Wheeler, Alan Sussman, Michael Beynon, Christian Hansen, Don Stredney, Dennis Sessanna Simulating Sellers’ Behavior in a Reverse Auction B2B Exchange . . . . 365 Subhajyoti Bandyopadhyay, Alok R. Chaturvedi, John M.