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In distributed computing, massively parallel computation model refers to a model of rounds of computation on many machines each with memory sublinear in the input, used to analyze MapReduce-style algorithms. This meaning comes from Karloff (2010) in Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms.[1]
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