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摘要:
To improve the power consumption of parallel applications at the runtime, modern processors provide frequency scaling and power limiting capabilities. In this work, a runtime strategy is proposed to distribute a given power allocation among the cluster nodes assigned to the application while balancing their performance change. The strategy operates in a timeslice-based manner to estimate the current application performance and power usage per node followed by power redistribution across the nodes. Experiments, performed on four nodes (112 cores) of a modern computing platform interconnected with Infiniband showed that even a significant power budget reduction of 20% may result in a performance degradation of as low as 1% under the proposed strategy compared with the execution in the unlimited power case.
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篇名 Distributed Strategy for Power Re-Allocation in High Performance Applications
来源期刊 电脑和通信(英文) 学科 工学
关键词 Multinode Power Allocation RAPL UFS DVFS Maximizing Performance Component Power
年,卷(期) 2020,(12) 所属期刊栏目
研究方向 页码范围 142-158
页数 17页 分类号 TP3
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Multinode
Power
Allocation
RAPL
UFS
DVFS
Maximizing
Performance
Component
Power
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电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
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783
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0
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