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Showing 1 to 1 of 1 for “"Graph Partitioning, GPU, Cross-Decomposition"”.

  1. Thanos: High-performance CPU-GPU based balanced graph partitioning using cross-decomposition

    As graphs become larger and more complex, it is becoming nearly impossible to process them without graph partitioning. Graph partitioning creates many subgraphs which can be processed in parallel thus delivering high-speed computation results. However, graph partitioning is a difficult task. In …

    uiuc Repository record for Thanos: High-performance CPU-GPU based balanced graph partitioning using cross-decomposition (opens in a new tab)