Now showing items 1-2 of 2

    • Partitioning models for scaling distributed graph computations 

      Demirci, Gündüz Vehbi (Bilkent University, 2019-09)
      The focus of this thesis is intelligent partitioning models and methods for scaling the performance of parallel graph computations on distributed-memory systems. Distributed databases utilize graph partitioning to provide ...
    • Scaling sparse matrix-matrix multiplication in the accumulo database 

      Demirci, Gündüz Vehbi; Aykanat, Cevdet (Springer, 2019)
      We propose and implement a sparse matrix-matrix multiplication (SpGEMM) algorithm running on top of Accumulo’s iterator framework which enables high performance distributed parallelism. The proposed algorithm provides ...