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Exploring High Performance And Energy Efficient Graph Processing On Gpu, Robert P. Watling
Exploring High Performance And Energy Efficient Graph Processing On Gpu, Robert P. Watling
Dissertations, Master's Theses and Master's Reports
Parallel graph processing is central to analytical computer science applications, and GPUs have proven to be an ideal platform for parallel graph processing. Existing GPU graph processing frameworks present performance improvements but often neglect two issues: the unpredictability of a given input graph and the energy consumption of the graph processing. Our prototype software, EEGraph (Energy Efficiency of Graph processing), is a flexible system consisting of several graph processing algorithms with configurable parameters for vertex update synchronization, vertex activation, and memory management along with a lightweight software-based GPU energy measurement scheme. We observe relationships between different configurations of our software, …