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• W2090290694 abstract "Approaches to achieve high performance for volume visualization via the popular Marching Cubes algorithm on commodity x86 personal computers are described. The approaches utilize Single Instruction Multiple Data (SIMD) Within A Register (SWAR) capabilities available in the streaming media extensions of recent-generation x86 CPUs. The SWAR capabilities are exploited in a manner that enables simultaneous processing of multiple volume data points, edges, and cells. In addition, the approach maintains the rendering quality of a standard serial implementation of the Marching Cubes. An average overall speedup of nearly four times is achieved (compared to an unoptimized standard implementation that uses conventional serial processing)." @default.
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• W2090290694 date "2004-04-01" @default.
• W2090290694 modified "2023-10-10" @default.
• W2090290694 title "High performance SIMD marching cubes isosurface extraction on commodity computers" @default.
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• W2090290694 doi "https://doi.org/10.1016/j.cag.2003.12.008" @default.
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