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231224s2014 xx |||||o 00| ||eng c |
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|a 10.1109/TVCG.2013.261
|2 doi
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|a eng
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| 100 |
1 |
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|a Navrátil, Paul A
|e verfasserin
|4 aut
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| 245 |
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|a Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing
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|c 2014
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 02.12.2015
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|a Date Revised 11.09.2015
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a This paper extends and evaluates a family of dynamic ray scheduling algorithms that can be performed in-situ on large distributed memory parallel computers. The key idea is to consider both ray state and data accesses when scheduling ray computations. We compare three instances of this family of algorithms against two traditional statically scheduled schemes. We show that our dynamic scheduling approach can render data sets that are larger than aggregate system memory and that cannot be rendered by existing statically scheduled ray tracers. For smaller problems that fit in aggregate memory but are larger than typical shared memory, our dynamic approach is competitive with the best static scheduling algorithm
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
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|a Childs, Hank
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fussell, Donald S
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lin, Calvin
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 20(2014), 6 vom: 10. Juni, Seite 893-906
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