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• W3174012867 abstract "High-performance computing (HPC) systems require significant energy to run their operations. A typical HPC system contains various heterogeneous hardware components, including CPUs and GPUs. Power capping is a widely-used feature in processors to achieve an upper limit of power allocation. In this paper, we exploit power capping capability in modern processors to achieve energy-efficiency in heterogeneous computing system. We first develop an optimal power cap allocation model considering heterogeneous computing platform. Next, we develop a simulator based on a parallel discrete-event simulation engine to simulate our proposed power capping allocation model. Finally, we perform trace-based simulation experiments to demonstrate effectiveness of our model. Experiments demonstrate that our proposed model is capable of achieving various level of energy-to-solution reduction for different parallel applications considering heterogeneous computing platform." @default.
• W3174012867 created "2021-07-05" @default.
• W3174012867 creator A5021994144 @default.
• W3174012867 creator A5032371884 @default.
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• W3174012867 date "2020-12-01" @default.
• W3174012867 modified "2023-09-27" @default.
• W3174012867 title "Energy-Efficient Heterogeneous Computing of Parallel Applications via Power Capping" @default.
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• W3174012867 doi "https://doi.org/10.1109/csci51800.2020.00231" @default.
• W3174012867 hasPublicationYear "2020" @default.
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