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High Performance Large Graph Analytics By Enhancing Locality, Naga Shailaja Dasari
High Performance Large Graph Analytics By Enhancing Locality, Naga Shailaja Dasari
Computer Science Theses & Dissertations
Graphs are widely used in a variety of domains for representing entities and their relationship to each other. Graph analytics helps to understand, detect, extract and visualize insightful relationships between different entities. Graph analytics has a wide range of applications in various domains including computational biology, commerce, intelligence, health care and transportation. The breadth of problems that require large graph analytics is growing rapidly resulting in a need for fast and efficient graph processing.
One of the major challenges in graph processing is poor locality of reference. Locality of reference refers to the phenomenon of frequently accessing the same memory …