Titlebook: High Performance Computingfor Computational Science -- VECPAR 2010; 9th International Co José M. Laginha M. Palma,Michel Daydé,João Correia

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Michael M. Wolf,Michael A. Heroux,Erik G. Bomanbstracting useful rules from such huge repositories of data are becoming increasingly important for providing better service or care. In particular, embedding Machine Learning technology into Intelligent Diagnosis Systems seems to be well suited for medical diagnostics in specialized medical domains

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High Performance Computingfor Computational Science -- VECPAR 20109th International Co

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Exascale Computing Technology Challengescedented opportunity for application and algorithm developers to influence the direction of future architectures so that they meet DOE mission needs. This article will describe the technology challenges on the road to exascale, their underlying causes, and their effect on the future of HPC system de

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The Parallel Revolution Has Started: Are You Part of the Solution or Part of the Problem?ic application emphasizes real-time responsiveness to rich human input, with high-performance many-channel audio synthesis. The Speech application focuses on making speech input work well in the real-world noisy environments where mobile devices will be operated. The Content-Based Image Recognition

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HPC Techniques for a Heart Simulatoron, a composite voxel mesh with fine voxels in and around the heart and coarse voxels covering the torso is adopted to solve the bidomain equation. Following the excitation of a sinus node, the simulator reproduces the excitation propagation and depolarization of the membrane potentials of virtual c

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