Massively parallel software rendering for visualizing large-scale data sets
| Autor: | Kwan-Liu Ma, Steven G. Parker |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Software rendering Parallel computing Large scale data Computer Graphics and Computer-Aided Design Unstructured grid Rendering (computer graphics) Data visualization Scalability business Massively parallel Software ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IEEE Computer Graphics and Applications. 21:72-83 |
| ISSN: | 0272-1716 |
| Popis: | We describe two highly scalable, parallel software volume-rendering algorithms - one renders unstructured grid volume data and the other renders isosurfaces. We designed one algorithm for distributed-memory parallel architectures to render unstructured grid volume data. We designed the other for shared-memory parallel architectures to directly render isosurfaces. Through the discussion of these two algorithms, we address the most relevant issues when using massively parallel computers to render large-scale volumetric data. The focus of our discussion is direct rendering of volumetric data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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