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Fast Rotation of Volume Data on Data Parallel Architectures

Peter Schröder

出版	Thinking Machines Corporation, 1991
URL	http://books.google.com.hk/books?id=aQwkHAAACAAJ&hl=&source=gbs_api

註釋

Abstract: "Data parallel computer architectures hold great promises for high performance computing. Volume visualization (raytracing) is an application that can greatly benefit from these architectures. We describe an algorithm for rendering of orthographic views of volume data on such architectures. In particular the problem of rotating the volume in regard to the communication overhead associated with finely distributed memory is analyzed. We extend an earlier technique (shear decomposition) to 3D and show how this can be mapped onto a data parallel architecture using only grid communication during the resampling associated with the rotation.