Title :
Parallel accelerated isocontouring for out-of-core visualization
Author :
Bajaj, C.L. ; Pascucci, V. ; Thompson, D. ; Zhang, X.Y.
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
Abstract :
We introduce a scheme for static analysis that allows us to partition large geometric datasets at multiple levels of granularity to achieve both load balancing in parallel computations and minimal access to secondary memory in out-of-core computations. The idea is illustrated and fully exploited for the case of isosurface extraction, but extendible to a class of algorithms based on a small set of parameters and for which an appropriate static analysis can be performed.
Keywords :
Cray computers; computational complexity; computational geometry; data visualisation; feature extraction; parallel algorithms; resource allocation; system monitoring; very large databases; visual databases; granularity; isosurface extraction; large geometric dataset partitioning; load balancing; minimal access; out-of-core computations; out-of-core visualization; parallel accelerated isocontouring; parallel computations; secondary memory; static analysis; Acceleration; Algorithm design and analysis; Data mining; Data preprocessing; Data visualization; Isosurfaces; Load management; Partitioning algorithms; Performance analysis; Tree data structures;
Conference_Titel :
Parallel Visualization and Graphics Symposium, 1999. Proceedings. 1999 IEEE`
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-5901-1
DOI :
10.1109/PVGS.1999.810144
