In this paper we present a data parallel volume rendering algorithm that possesses numerous advantages over prior published solutions. Volume rendering is a three-dimensional graphics rendering algorithm that computes views of sampled medical and simulation data, but has been much slower than other
Extensions to permutation warping for parallel volume rendering
โ Scribed by Craig M. Wittenbrink
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 842 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
โฆ Synopsis
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 ยฎdelity 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 ยฏexibility, 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/s, using trilinear reconstruction on 128 3 volumes for 400% runtime improvement over our previous result. A Proteus MIMD (32 processor) implementation achieves 1 frame/s on the same data. Additionally the PermWeb software architecture is presented, that has been shown as a proof of concept means to provide wide shared access to a powerful centralized renderer. All of these improvements make permutation warping an eective solution for biomedial volume visualization.
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