Parallel Texture-Based Vector Field Visualization on Curved Surfaces Using GPU Cluster Computers
dc.contributor.author | Bachthaler, S. | en_US |
dc.contributor.author | Strengert, M. | en_US |
dc.contributor.author | Weiskopf, D. | en_US |
dc.contributor.author | Ertl, T. | en_US |
dc.contributor.editor | Alan Heirich and Bruno Raffin and Luis Paulo dos Santos | en_US |
dc.date.accessioned | 2014-01-26T16:30:47Z | |
dc.date.available | 2014-01-26T16:30:47Z | |
dc.date.issued | 2006 | en_US |
dc.description.abstract | We adopt a technique for texture-based visualization of flow fields on curved surfaces for parallel computation on a GPU cluster. The underlying LIC method relies on image-space calculations and allows the user to visualize a full 3D vector field on arbitrary and changing hypersurfaces. By using parallelization, both the visualization speed and the maximum data set size are scaled with the number of cluster nodes. A sort-first strategy with image-space decomposition is employed to distribute the workload for the LIC computation, while a sort-last approach with an object-space partitioning of the vector field is used to increase the total amount of available GPU memory. We specifically address issues for parallel GPU-based vector field visualization, such as reduced locality of memory accesses caused by particle tracing, dynamic load balancing for changing camera parameters, and the combination of image-space and object-space decomposition in a hybrid approach. Performance measurements document the behavior of our implementation on a GPU cluster with AMD Opteron CPUs, NVIDIA GeForce 6800 Ultra GPUs, and Infiniband network connection. | en_US |
dc.description.seriesinformation | Eurographics Symposium on Parallel Graphics and Visualization | en_US |
dc.identifier.isbn | 3-905673-40-1 | en_US |
dc.identifier.issn | 1727-348X | en_US |
dc.identifier.uri | https://doi.org/10.2312/EGPGV/EGPGV06/075-082 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Viewing algorithms I.3.3 [Three-Dimensional Graphics and Realism]: Color, shading, shadowing, and texture | en_US |
dc.title | Parallel Texture-Based Vector Field Visualization on Curved Surfaces Using GPU Cluster Computers | en_US |
Files
Original bundle
1 - 1 of 1