Profiling for efficient parallel volume visualisation
PARALLEL COMPUTING, vol.23, no.7, pp.943-952, 1997 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 23 Issue: 7
- Publication Date: 1997
- Doi Number: 10.1016/s0167-8191(97)00036-7
- Journal Name: PARALLEL COMPUTING
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.943-952
- Keywords: volume visualisation, prefetching, load balancing, profiling
- Karadeniz Technical University Affiliated: Yes
Abstract
Visualising a multi-dimensional volume data set is a computationally intensive process. Parallel processing offers the potential for achieving the visualisation in a reasonable time. This paper discusses how an appropriate data management approach and the correct management of tasks in the parallel implementation can improve overall system performance. A number of profiling and load balancing strategies are considered to exploit any coherence that may exist as the view point moves.