Processors White Papers

Extensions to Permutation Warping for Parallel Volume Rendering

Overview Biomedical volume visualization requires high quality and high performance, but the existing high performance solutions such as the Shear Warp algorithm, 3D texture mapping, and special purpose hardware have problems. Permutation warping achieves high fidelity for biomedical datasets of regular rectilinear volumes, using a one-to-one communication scheme for optimal O(1) communication on massively parallel computers. Extensions are presented including data dependent optimizations using octrees, arbitrary view angles flexibility, and multiple instruction stream multiple data stream (MIMD) implementation. A MasPar MP-2, single instruction stream multiple data stream (SIMD) (16,384 processor), implementation achieves 14 frames/second, using trilinear reconstruction on 128cubed volumes for 400% runtime improvement over our previous result. A Proteus MIMD (32 processor) implementation achieves 1 frame/second on the same data.

Further White Paper Details
PublisherHP Labs File FormatPDF, requires Acrobat Rdr 5
Date PublishedAugust 2003 Downloads2
FormatWhite Papers   
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