Resource management for heterogeneous computing systems: utility maximization, energy-aware scheduling, and multi-objective optimization
As high performance heterogeneous computing systems continually become faster, the operating cost to run these systems has increased. A significant portion of the operating costs can be attributed to the amount of energy required for these systems to operate. To reduce these costs it is important for system administrators to operate these systems in an energy efficient manner. Additionally, it is important to be able to measure the performance of a given system so that the impacts of operating at different levels of energy efficiency can be analyzed. The goal of this research is to examine how ...
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Siegel, Howard J.; Maciejewski, Anthony A.