Extensions to permutation warping for parallel volume rendering

摘要

Biomdeical volume visualization requires high quality and high performance, but the ex- isting 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 angle flexibility, and multiple instruction stream multiple data stream(MIMD)implementation.