Hybrid CPU-GPU Unstructured Meshes Parallel Volume Rendering on PC Clusters

dc.contributor.authorJuliachs, Manuelen_US
dc.contributor.authorCarrard, Thierryen_US
dc.contributor.authorNomine, Jean-Philippeen_US
dc.contributor.editorJean M. Favre and Luis Paulo Santos and Dirk Reinersen_US
dc.date.accessioned2014-01-26T16:36:43Z
dc.date.available2014-01-26T16:36:43Z
dc.date.issued2007en_US
dc.description.abstractLarge-scale numerical simulation produces datasets with ever-growing size and complexity. In particular, unstructured meshes are encountered in many applications. Volume rendering provides a way to efficiently analyze such datasets. Recent advances in graphics hardware have enabled the implementation of efficient unstructured volume rendering algorithms on the GPU. However, GPU architecture limitations make these methods difficultly amenable to a parallel implementation, which is necessary to render very large datasets at interactive speeds and high resolutions. Many previous parallel approaches have focused on softwarebased algorithms. In this paper, we present a hybrid object-space/image-space CPU-GPU distributed parallel volume rendering method, taking advantage of the flexibility afforded by the CPU, including SIMD processing capabilities, and using GPUs to perform repetitive tasks like depth-sorting and compositing. We present the impact of the different phases on the overall rendering time as a function of node number.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905673-50-0en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV07/085-092en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Distributed/network graphics, I.3.8 [Computer Graphics]: Applicationsen_US
dc.titleHybrid CPU-GPU Unstructured Meshes Parallel Volume Rendering on PC Clustersen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
085-092.pdf
Size:
273.85 KB
Format:
Adobe Portable Document Format