Profiling for efficient parallel volume visualisation
PARALLEL COMPUTING, cilt.23, sa.7, ss.943-952, 1997 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 23 Sayı: 7
- Basım Tarihi: 1997
- Doi Numarası: 10.1016/s0167-8191(97)00036-7
- Dergi Adı: PARALLEL COMPUTING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.943-952
- Anahtar Kelimeler: volume visualisation, prefetching, load balancing, profiling
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
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.