Browsing by Keywords "Propagation models"
Now showing items 1-3 of 3
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Cascade-aware partitioning of large graph databases
(Springer, 2019)Graph partitioning is an essential task for scalable data management and analysis. The current partitioning methods utilize the structure of the graph, and the query log if available. Some queries performed on the database ... -
Examination of existent propagation models over large inhomogeneous terrain profiles using fast integral equation solution
(Institute of Electrical and Electronics Engineers, 2005-09)The accuracyof most widelyused empirical models are investigated using the spectrallyaccelerated forward-backward (FBSA) method as a benchmark solution. First, FBSA results are obtained for propagation over large scale ... -
Partitioning models for scaling distributed graph computations
(Bilkent University, 2019-08)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 ...