%T Prefetch Data Management for Parallel Particle Tracing
%A Jonathan Tidmus, Roger Miles, Alan G. Chalmers
%E André W. P. Bakkers
%B Proceedings of WoTUG\-20: Parallel Programming and Java
%X The particle tracing method uses a stochastic approach for
global illumination computation of three\-dimensional
environments. As with many graphics techniques the
computation associated with the image generation is complex.
Parallel processing offers the potential of solving the
computational complex particle tracing more rapidly.
Distributed memory parallel systems are scalable and readily
available. However, large environmental models are often
bigger than individual node storage capabilities requiring
data management to distribute and control the movement of
environmental data as computation proceeds. Prefetch data
management attempts to reduce idle time associated with
remote data fetches by anticipating the latency and
requesting required data items prior to their actual use
during computation. This paper demonstrates how attention to
work division and supply coupled with prefetch data
management can be utilised to minimise overheads associated
with a parallel implementation and reduce overall image
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