What have we learnt from using real parallel machines to solve real problems?
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
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Seismic signal processing is computationally intensive and sequential algorithms in use do not exploit the concurrency inherent in data migration techniques. In this paper we study seismic migration algorithms with a view to present a general framework for analyzing such algorithms and propose some coarse-grained paradigms for computation on parallel computers. We analyze a few typical examples of the different migration techniques existing in literature, and discuss techniques to optimize their performance on distributed concurrently executing processors. The computational and communication requirements of the algorithms are discussed and diverse optimization techniques are proposed. The memory limitation, I/O bottleneck and computational tradeoffs on hypercube multiprocessors are analyzed [1,8,9].