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An Evaluation of the Zoltan Parallel Graph and

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The document evaluates the performance of the Zoltan Parallel Graph and Hypergraph Partitioners, focusing on their application in combinatorial scientific computing to optimize data and task mapping in parallel computing. It compares Zoltan's partitioning capabilities against other software like ParMetis using various metrics such as edge cut and communication volume across a diverse set of graphs from the DIMACS challenge. The findings indicate that while ParMetis generally performs better in minimizing edge cuts, Zoltan's hypergraph partitioning shows competitive results in terms of communication volume, highlighting its scalability and effectiveness for both symmetric and asymmetric problems.

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