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Volume visualization on shared memory architectures
Affiliation:1. Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia;2. Department of Electrical, Electronics and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia;3. School of Information Technology, Murdoch University, 90 South St, Murdoch WA, 6150, Australia;1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;2. Key Laboratory of Gansu Advanced Control for Electrical and Control Engineering, Lanzhou 730050, China;3. Zhuhai Fudan Innovation Institute, Guangdong, Zhuhai 519031, China
Abstract:Direct volume rendering algorithms are too computationally expensive to offer interactive frame rates when rendering large 3D medical datasets on standard workstations. This article presents an image space parallelization of an image order volume rendering algorithm aimed at shared memory multiprocessors. This parallel implementation of direct volume rendering can significantly speed up rendering times and visualize 3D datasets with speeds of several frames per second. The algorithm was implemented and evaluated on Convex SPP Exemplar and SGI Challenge multiprocessors.
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