Jackie H. Chen

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Scientists often need to extract, visualize and analyze lines from vast amounts of data to understand dynamic structures and interactions. The effectiveness of such a visual validation and analysis process mainly relies on a good strategy to categorize and visualize the lines. However, the sheer size of line data produced by state-of-the-art scientific(More)
Parallel applications combine the power of a large number of commodity processors to solve a single problem, distributing their global data structures throughout the memory of all participating clustered computers. As such, they can benefit greatly from the ability to share data using a single file system that can provide a common view to the filesystem's(More)
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