Oguz Selvitopi

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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(More)
Efficient parallelization of the applications in scientific computing domain on distributed systems requires reducing the communication costs of the application in both terms: bandwidth and latency costs. Although there are many graph/hypergraph partitioning models that reduce the bandwidth cost in the literature, there exist only a few works that consider(More)
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