24 January 2012 Configurable data prefetching scheme for interactive visualization of large-scale volume data
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Abstract
This paper presents a novel data prefetching and memory management scheme to support interactive visualization of large-scale volume datasets using GPU-based isosurface extraction. Our dynamic in-core approach uses a span-space lattice data structure to predict and prefetch the portions of a dataset that are required by isosurface queries, to manage an application-level volume data cache, and to ensure load-balancing for parallel execution. We also present a GPU memory management scheme that enhances isosurface extraction and rendering performance. With these techniques, we achieve rendering performance superior to other in-core algorithms while using dramatically fewer resources.
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Byungil Jeong, Paul A. Navrátil, Kelly P. Gaither, Gregory Abram, Gregory P. Johnson, "Configurable data prefetching scheme for interactive visualization of large-scale volume data", Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940K (24 January 2012); doi: 10.1117/12.910926; https://doi.org/10.1117/12.910926
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