Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures

Xianfeng Li; Guikang Chen; Wen Wen

doi:10.1145/3061639.3062239

Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures

Xianfeng Li
, Guikang Chen
, Wen Wen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

Smartphones are now equipped with high-performance processors to meet the increasing complexity of apps. However, these processors drain the battery quickly, which has become a major concern for Smartphone users. The latest big.LITTLE multicore architecture provides new energy-saving facilities in addition to traditional DVFS technique. But this mechanism has not been well exploited by current Smartphones. In this paper, we propose a framework that records the performance demands for repetitive app usage scenarios, and adjusts the big.LITTLE processor to an energy-efficient configuration for subsequent executions of these scenarios. We implemented our framework on Android Smartphones, and the experiments achieve 30% energy saving on average without compromising user experience.

Original language	English
Title of host publication	Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781450349277
DOIs	https://doi.org/10.1145/3061639.3062239
Publication status	Published - 18 Jun 2017
Externally published	Yes
Event	54th Annual Design Automation Conference, DAC 2017 - Austin, United States Duration: 18 Jun 2017 → 22 Jun 2017

Publication series

Name	Proceedings - Design Automation Conference
Volume	Part 128280
ISSN (Print)	0738-100X

Conference

Conference	54th Annual Design Automation Conference, DAC 2017
Country/Territory	United States
City	Austin
Period	18/06/17 → 22/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

DVFS
Smartphone
big.LITTLE architecture
energy efficiency

Access to Document

10.1145/3061639.3062239

Cite this

@inproceedings{cd142007bb60451cb8c44aa2c8969662,

title = "Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures",

abstract = "Smartphones are now equipped with high-performance processors to meet the increasing complexity of apps. However, these processors drain the battery quickly, which has become a major concern for Smartphone users. The latest big.LITTLE multicore architecture provides new energy-saving facilities in addition to traditional DVFS technique. But this mechanism has not been well exploited by current Smartphones. In this paper, we propose a framework that records the performance demands for repetitive app usage scenarios, and adjusts the big.LITTLE processor to an energy-efficient configuration for subsequent executions of these scenarios. We implemented our framework on Android Smartphones, and the experiments achieve 30\% energy saving on average without compromising user experience.",

keywords = "DVFS, Smartphone, big.LITTLE architecture, energy efficiency",

author = "Xianfeng Li and Guikang Chen and Wen Wen",

note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 54th Annual Design Automation Conference, DAC 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

year = "2017",

month = jun,

day = "18",

doi = "10.1145/3061639.3062239",

language = "English",

series = "Proceedings - Design Automation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017",

address = "United States",

}

Li, X, Chen, G & Wen, W 2017, Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures. in Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017., 44, Proceedings - Design Automation Conference, vol. Part 128280, Institute of Electrical and Electronics Engineers Inc., 54th Annual Design Automation Conference, DAC 2017, Austin, United States, 18/06/17. https://doi.org/10.1145/3061639.3062239

Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures. / Li, Xianfeng; Chen, Guikang; Wen, Wen.
Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 44 (Proceedings - Design Automation Conference; Vol. Part 128280).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures

AU - Li, Xianfeng

AU - Chen, Guikang

AU - Wen, Wen

PY - 2017/6/18

Y1 - 2017/6/18

N2 - Smartphones are now equipped with high-performance processors to meet the increasing complexity of apps. However, these processors drain the battery quickly, which has become a major concern for Smartphone users. The latest big.LITTLE multicore architecture provides new energy-saving facilities in addition to traditional DVFS technique. But this mechanism has not been well exploited by current Smartphones. In this paper, we propose a framework that records the performance demands for repetitive app usage scenarios, and adjusts the big.LITTLE processor to an energy-efficient configuration for subsequent executions of these scenarios. We implemented our framework on Android Smartphones, and the experiments achieve 30% energy saving on average without compromising user experience.

AB - Smartphones are now equipped with high-performance processors to meet the increasing complexity of apps. However, these processors drain the battery quickly, which has become a major concern for Smartphone users. The latest big.LITTLE multicore architecture provides new energy-saving facilities in addition to traditional DVFS technique. But this mechanism has not been well exploited by current Smartphones. In this paper, we propose a framework that records the performance demands for repetitive app usage scenarios, and adjusts the big.LITTLE processor to an energy-efficient configuration for subsequent executions of these scenarios. We implemented our framework on Android Smartphones, and the experiments achieve 30% energy saving on average without compromising user experience.

KW - DVFS

KW - Smartphone

KW - big.LITTLE architecture

KW - energy efficiency

UR - https://www.scopus.com/pages/publications/85023622755

U2 - 10.1145/3061639.3062239

DO - 10.1145/3061639.3062239

M3 - Conference contribution

AN - SCOPUS:85023622755

T3 - Proceedings - Design Automation Conference

BT - Proceedings of the 54th Annual Design Automation Conference 2017, DAC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 54th Annual Design Automation Conference, DAC 2017

Y2 - 18 June 2017 through 22 June 2017

ER -

Energy-Efficient Execution for Repetitive App Usages on big.LITTLE Architectures

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this