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|a 10.1109/TVCG.2008.85
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|a eng
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| 100 |
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|a Ingram, Stephen
|e verfasserin
|4 aut
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| 245 |
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|a Glimmer
|b multilevel MDS on the GPU
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|c 2009
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 10.08.2009
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|a Date Revised 16.01.2009
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a We present Glimmer, a new multilevel algorithm for multidimensional scaling designed to exploit modern graphics processing unit (GPU) hardware. We also present GPU-SF, a parallel, force-based subsystem used by Glimmer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm makes local minima less likely while the GPU parallelism improves speed of computation. We propose a robust termination condition for GPU-SF based on a filtered approximation of the normalized stress function. We demonstrate the benefits of Glimmer in terms of speed, normalized stress, and visual quality against several previous algorithms for a range of synthetic and real benchmark datasets. We also show that the performance of Glimmer on GPUs is substantially faster than a CPU implementation of the same algorithm
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|a Journal Article
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|a Munzner, Tamara
|e verfasserin
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| 700 |
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|a Olano, Marc
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 15(2009), 2 vom: 27. März, Seite 249-61
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|x 1941-0506
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|g volume:15
|g year:2009
|g number:2
|g day:27
|g month:03
|g pages:249-61
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|u http://dx.doi.org/10.1109/TVCG.2008.85
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