A data-traffic aware dynamic power management for general-purpose graphics processing units

Lih Yih Chiou, Chao Kai Yang, Che Pin Chang

研究成果: Conference contribution

摘要

General-purpose graphics processing units (GPGPUs) are gaining popularity. Applications like machine learning and artificial intelligence have been growing rapidly. When hardware complexity increases to meet the computing requirements of the applications, the power efficiency of the hardware becomes an important issue. In this paper, we propose an adaptive power management scheme for GPGPU to enhance power efficiency by proactively detecting the internal activities during runtime and dynamically adjusting the operating frequencies of selected components. The simulation results indicate that, when compared with the baseline approach, the proposed scheme can reduce power consumption by up to 15% with a performance overhead of less than 5% on average.

原文English
主出版物標題2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728103976
DOIs
出版狀態Published - 2019 一月 1
事件2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
持續時間: 2019 五月 262019 五月 29

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2019-May
ISSN(列印)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
國家Japan
城市Sapporo
期間19-05-2619-05-29

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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