Title :
Parallel volume rendering
Author :
Westermann, Ruediger
Author_Institution :
Sci. Visualiztion Group, German Nat. Res. Center for Comput. Sci., St. Augustin, Germany
Abstract :
Several methods have been developed to visualize three dimensional volume data on multiprocessor computer systems. Most of these algorithms were strongly adapted to the underlying target architecture, and often did not take account requirements such as scalability, portability, or memory minimization. The paper outlines a new approach for rendering large scale volume data on distributed memory parallel computers. Within this framework, the only limiting factor concerning the resolution of the processed data is the node local memory. Furthermore, porting to other multiprocessor systems is straight forward, and scalability with increasing numbers of processors is achieved
Keywords :
data visualisation; distributed memory systems; parallel algorithms; parallel machines; rendering (computer graphics); resource allocation; software engineering; software portability; algorithms; distributed memory parallel computers; large scale volume data rendering; memory minimization; multiprocessor computer systems; node local memory; parallel volume rendering; portability; processed data resolution; scalability; three dimensional volume data visualisation; Computer architecture; Computer science; Concurrent computing; Data visualization; Integral equations; Marketing and sales; Multiprocessing systems; Optical attenuators; Rendering (computer graphics); Scalability;
Conference_Titel :
Parallel Processing Symposium, 1995. Proceedings., 9th International
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-7074-6
DOI :
10.1109/IPPS.1995.395873