TY - GEN
T1 - A data-traffic aware dynamic power management for general-purpose graphics processing units
AU - Chiou, Lih Yih
AU - Yang, Chao Kai
AU - Chang, Che Pin
N1 - Funding Information:
ACKNOWLEDGMENT The authors would like to thank the Taiwan Ministry of Science and Technology for research grant (MOST 107-2634-F-006-002 - and 107-2218-E-006-026-).
Publisher Copyright:
© 2019 IEEE
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85066780769&partnerID=8YFLogxK
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U2 - 10.1109/ISCAS.2019.8702405
DO - 10.1109/ISCAS.2019.8702405
M3 - Conference contribution
AN - SCOPUS:85066780769
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Y2 - 26 May 2019 through 29 May 2019
ER -