Reducing latency to volume visualization on PC cluster

Author

Zuffo, Marcelo K.

fYear

2001

fDate

37165

Firstpage

374

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on

Conference_Location

Florianopolis

Print_ISBN

0-7695-1330-1

Type

conf

DOI

10.1109/SIBGRAPI.2001.963080

Filename

963080