We present a parallel rendering algorithm targeted to MIMD distributed-memory message-passing architectures. For maximum performance, the algorithm exploits both object-level and image level parallelism. The behavior of the algorithm is examined both analytically and experimentally. The results show that the choice of message size has a significant impact on performance. Scalability to large numbers of processors is found to be limited primarily by communication overheads. An experimental implementation for the Intel iPSC/860 confirms the analytical results and demonstrates increasing performance from 1 to 128 processors across a wide range of scene complexities.
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Crockett et al. (2002) studied this question.
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