Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Dynamic Voltage-Frequency Optimization using Simultaneous Perturbation Stochastic Approximation. / Bogdanov, Evgenii; Bozhnyuk, Alexander; Bykov, David; Sartasov, Stanislav; Sergeenko, Anna; Granichin, Oleg.
60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 3774-3779 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Dynamic Voltage-Frequency Optimization using Simultaneous Perturbation Stochastic Approximation
AU - Bogdanov, Evgenii
AU - Bozhnyuk, Alexander
AU - Bykov, David
AU - Sartasov, Stanislav
AU - Sergeenko, Anna
AU - Granichin, Oleg
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - It was previously shown that simultaneous perturbation stochastic approximation can be used for developing general purpose dynamic voltage-frequency scaling (DVFS) governor for Android OS. We lay down a theoretical foundation for this approach and show in several experiments that our algorithm performance is on par with the commonly used Android DVFS governors. Links to complete results and source code are also provided.
AB - It was previously shown that simultaneous perturbation stochastic approximation can be used for developing general purpose dynamic voltage-frequency scaling (DVFS) governor for Android OS. We lay down a theoretical foundation for this approach and show in several experiments that our algorithm performance is on par with the commonly used Android DVFS governors. Links to complete results and source code are also provided.
KW - Android
KW - DVFS
KW - dynamic voltage frequency scaling
KW - energy consumption
KW - simultaneous perturbation stochastic approximation
KW - SPSA
UR - http://www.scopus.com/inward/record.url?scp=85126010933&partnerID=8YFLogxK
U2 - 10.1109/CDC45484.2021.9683064
DO - 10.1109/CDC45484.2021.9683064
M3 - Conference contribution
AN - SCOPUS:85126010933
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3774
EP - 3779
BT - 60th IEEE Conference on Decision and Control, CDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th IEEE Conference on Decision and Control, CDC 2021
Y2 - 13 December 2021 through 17 December 2021
ER -
ID: 93519282