The proceedings contain 28 papers. The topics discussed include: visualizing multiscale, multiphysics simulation data: brain blood flow;toward simulation-time dataanalysis and I/O acceleration on leadership-class sys...
ISBN:
(纸本)9781467301541
The proceedings contain 28 papers. The topics discussed include: visualizing multiscale, multiphysics simulation data: brain blood flow;toward simulation-time dataanalysis and I/O acceleration on leadership-class systems;atypical behavior identification in large-scale network traffic;revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision;histogram spectra for multivariate time-varying volume LOD selection;parallel clustering for visualizing large scientific line data;evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms;parallel in situ indexing for data-intensive computing;incremental, approximate database queries and uncertainty for exploratory visualization;the ParaView coprocessing library: a scalable, general purpose in situ visualization library;and dax toolkit: a proposed framework for dataanalysis and visualization at extreme scale.
We present a system that visualizes large collections of archival geographic records. This system is comprised of a data grid containing a 60TB test collection gleaned from the US National Archives, and three web-appl...
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The smart grid applications requires real time analysis, response within the order of milliseconds and high-reliability because of the mission critical structure of the power grid system. The only way to satisfy these...
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data volumes in the geosciences have been increasing substantially over the past decade. This data naturally includes both spatial and chronological information. Fast access to specific portions of large collections o...
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visualization of massively largedatasets presents two significant problems. First, the dataset must be prepared for visualization, and traditional dataset manipulation methods fail due to lack of temporary storage or...
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The performance mismatch between computing and I/O components of current-generation HPC systems has made I/O the critical bottleneck for scientific applications. It is therefore critical to make data movement as effic...
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We present a volume visualization framework that allows high-quality interactive rendering of teravoxel scale volume data sets on standard PCs. It is based on a progressive multi-resolution out-of-core volume renderin...
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Exploratory datavisualization calls for iterative analyses, but very largedatabases are often far too slow to allow interactive exploration. Incremental, approximate database queries exchange precision for speed: by...
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Experts agree that the exascale machine will comprise processors that contain many cores, which in turn will necessitate a much higher degree of concurrency. Software will require a minimum of a 1,000 times more concu...
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