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N-Chilada: A framework for parallel data analysis and visualization
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| We will develop, test and distribute open-source, object-oriented simulation and analysis/visualization framework that will apply generically to a broad range of problems that can be modeled with particles, such as: evolution of large-scale structure in the Universe; galaxy formation; formation and long-term evolution of planetary systems; granular dynamics, protein folding; etc. The goal is to enable the rapid development of parallel tree and adaptive-mesh based algorithms operating on particles, particularly for visualization and analysis. For example, we will implement a tree-based scalable particle dataset visualization algorithm. This method would allow the efficient calculation of smoothed quantities such as density and pressure. The framework will also be adapted for visualization and analysis of large astronomical catalogues such as those that will become available in the National Virtual Observatory. The software will be scalable from single workstations through Beowulf clusters to massively parallel supercomputers, and will provide a Web-based interface for data retrieval, manipulation, and processing. |
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