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|a 10.1109/TVCG.2015.2467449
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|a eng
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|a Kindlmann, Gordon
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Diderot
|b a Domain-Specific Language for Portable Parallel Scientific Visualization and Image Analysis
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| 264 |
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|c 2016
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| 336 |
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|a Text
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|a Date Completed 18.08.2016
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|a Date Revised 26.11.2016
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|a published: Print
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|a Citation Status MEDLINE
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|a Many algorithms for scientific visualization and image analysis are rooted in the world of continuous scalar, vector, and tensor fields, but are programmed in low-level languages and libraries that obscure their mathematical foundations. Diderot is a parallel domain-specific language that is designed to bridge this semantic gap by providing the programmer with a high-level, mathematical programming notation that allows direct expression of mathematical concepts in code. Furthermore, Diderot provides parallel performance that takes advantage of modern multicore processors and GPUs. The high-level notation allows a concise and natural expression of the algorithms and the parallelism allows efficient execution on real-world datasets
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|a Journal Article
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1 |
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|a Chiw, Charisee
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Seltzer, Nicholas
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Samuels, Lamont
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Reppy, John
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1998
|g 22(2016), 1 vom: 24. Jan., Seite 867-76
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