A Data Distributed Parallel Algorithm For Ray Traced Volume Rendering


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A Data Distributed Parallel Algorithm for Ray-Traced Volume Rendering


A Data Distributed Parallel Algorithm for Ray-Traced Volume Rendering

Author: National Aeronautics and Space Adm Nasa

language: en

Publisher:

Release Date: 2018-10-21


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This paper presents a divide-and-conquer ray-traced volume rendering algorithm and a parallel image compositing method, along with their implementation and performance on the Connection Machine CM-5, and networked workstations. This algorithm distributes both the data and the computations to individual processing units to achieve fast, high-quality rendering of high-resolution data. The volume data, once distributed, is left intact. The processing nodes perform local ray tracing of their subvolume concurrently. No communication between processing units is needed during this locally ray-tracing process. A subimage is generated by each processing unit and the final image is obtained by compositing subimages in the proper order, which can be determined a priori. Test results on both the CM-5 and a group of networked workstations demonstrate the practicality of our rendering algorithm and compositing method. Ma, Kwan-Liu and Painter, James S. and Hansen, Charles D. and Krogh, Michael F. Unspecified Center NAS1-19480; RTOP 505-90-52-01...

A Data Distributed Parallel Algorithm for Ray-traced Volume Rendering


A Data Distributed Parallel Algorithm for Ray-traced Volume Rendering

Author: Institute for Computer Applications in Science and Engineering

language: en

Publisher:

Release Date: 1993


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Abstract: "This paper presents a divide-and-conquer ray-traced volume rendering algorithm and a parallel image compositing method, along with their implementation and performance on the Connection Machine CM-5, and networked workstations. This algoritm distributes both the data and the computations to individual processing units to achieve fast, high- quality rendering of high-resolution data. The volume data, once distributed, is left intact. The processing nodes perform local raytracing of their subvolume concurrently. No communication between processing units is needed during this locally ray-tracing process. A subimage is generated by each processing unit and the final image is obtained by compositing subimages in the proper order, which can be determined a priori. Test results on both the CM-5 and a group of networked workstations demonstrate the practicality of our rendering algorithm and compositing method."

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing


Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing

Author: David H. Bailey

language: en

Publisher: SIAM

Release Date: 1995-01-01


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Proceedings -- Parallel Computing.