Title :
Reducing latency to volume visualization on PC cluster
Author :
Zuffo, Marcelo K.
Abstract :
Volume visualization is an important tool in many scientific applications, requiring intensive processing and dealing with large amounts of data. Therefore, the size of these data always exceeds the processing and visualization capacities of the conventional workstations. The authors present their work in progress concerning techniques of data prefetching and data prediction to volume visualization on low cost PC clusters. The approach is based on the distributed shared memory (DSM) paradigm (M.K. Zuffo et al., 1998), which can greatly facilitate parallel programming efforts on volume visualization applications
Keywords :
data visualisation; distributed shared memory systems; microcomputer applications; storage management; workstation clusters; DSM; PC cluster; conventional workstations; data prediction; data prefetching; distributed shared memory; intensive processing; low cost PC clusters; parallel programming; scientific applications; visualization capacities; volume visualization; Data visualization; Delay; Hardware; Laboratories; Large scale integration; Parallel processing; Parallel programming; Prefetching; Random access memory; Workstations;
Conference_Titel :
Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on
Conference_Location :
Florianopolis
Print_ISBN :
0-7695-1330-1
DOI :
10.1109/SIBGRAPI.2001.963080
