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A Recursive Hypergraph Bipartitioning Framework for Reducing Bandwidth and Latency Costs Simultaneously
2016
IEEE Transactions on Parallel and Distributed Systems
Intelligent partitioning models are commonly used for efficient parallelization of irregular applications on distributed systems. These models usually aim to minimize a single communication cost metric, which is either related to communication volume or message count. However, both volume-and message-related metrics should be taken into account during partitioning for a more efficient parallelization. There are only a few works that consider both of them and they usually address each in
doi:10.1109/tpds.2016.2577024
fatcat:2w5tcebcevfxrn3um4vuf6muxe