Title :
Span Space Data Structures for Multithreaded Isosurfacing
Author :
Huijuan Zhang ; Newman, T.S.
Author_Institution :
University of Alabama in Huntsville
Abstract :
A data structure that can enable efficient isosurface extraction on desktop (single- and dual-CPU) computers is introduced. The data structure enables avoidance of unnecessary processing in the isosurface extraction while consuming little memory. Incorporation of the data structure into multithreading strategies that allow exploitation of slack computational processing resources, especially on hyperthreaded CPUs, is also described.
Keywords :
Acceleration; Computed tomography; Concurrent computing; Data mining; Data structures; Data visualization; Isosurfaces; Magnetic resonance imaging; Multithreading; Rendering (computer graphics);
Conference_Titel :
SoutheastCon, 2004. Proceedings. IEEE
Conference_Location :
Greensboro, North Carolina, USA
Print_ISBN :
0-7803-8368-0
DOI :
10.1109/SECON.2004.1287933
