Titlebook: High Performance Computing for Computational Science - VECPAR 2004; 6th International Co Michel Daydé,Jack Dongarra,José M. L. M. Palma Con

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Parallel Implementation of a Fuzzy Rule Based Classifiersigned to a different processor in a parallel architecture. Partial conclusions are synchronized and processed by a master processor. This approach has been applied to a very large database and results are compared with a parallel neural network approach.

小口啜飲

The EGEE European Grid Infrastructure Projectivable. Extensive computing Grids that integrate large, geographically distributed computer clusters and data storage facilities have changed from representing a dream to becoming a vision and, with the Enabling Grids for E-science in Europe project (EGEE), a reality today. EGEE aims to provide a Eu

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0302-9743 nference book includes the best 48 papers and 5 invited talks presented during the three days of the conference. The book is organized into 6 chapters, with a p978-3-540-25424-9978-3-540-31854-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Large Scale Simulationswords, simulation can never be regarded as an independent, self-contained methodology of science that can cultivate a new field by itself, but remains an auxiliary and passive tool to observation and theory.

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Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Iare two parallel executions with different number of processors. This parameter allows us to better describe the superlinear performance behavior of our parallel implementation. Evaluation of the parallel implementation is given in terms of the values of the speep-up and the relative efficiency. Mor

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A Performance Prediction Model for Tomographic Reconstruction in Structural Biology the problem. The model is validated by comparison of the predicted times for representative datasets with computation times measured in a PC’s cluster. The model is shown to be quite accurate with a deviation between experimental and predicted times lower than 10%.

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