Profiling for efficient parallel volume visualisation

C. Kose, A. G. Chalmers, Profiling for efficient parallel volume visualisation. Parallel Computing, 23 (7). ISSN 0167-8191, pp. 943–952. July 1997. No electronic version available.


Visualising a multi-dimensional volume data set is a computionally 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.

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