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A commodity Personal Computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a Graphics Processing Unit (GPU). Since the superiorities of GPUs in the performance and the power efficiency strongly depend on the system configuration and the data size determined at the runtime, a programmer cannot always know which processor should be used to execute a certain kernel. Therefore, this paper presents a runtime environment that dynamically selects an appropriate processor so as to improve the energy efficiency. The evaluation results clearly indicate that the runtime processor selection at executing each kernel with given data streams is promising for energy-aware computing on a hybrid computing system.
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