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Integrated CPU-GPU Power Management for 3D Mobile Games

Published: 01 June 2014 Publication History

Abstract

Modern system-on-chips (SoC) integrate CPU and GPU for immersive 3D gaming experience. These games require both the CPU and GPU to work in tandem, resulting in high power consumption. In the past, Dynamic Voltage Frequency Scaling (DVFS) has been exploited for embedded CPU to save power during game play; but it is only recently that embedded GPUs have attained DVFS capabilities that provide additional opportunities. In this paper, we propose a power management approach that takes a unified view of the CPU-GPU DVFS, resulting in reduced power consumption for latest 3D mobile games compared to an independent CPU-GPU power management approach.

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  • (2024)A Lightweight DRDPG-Based RL DVFS for Video Rendering on CPU-GPU Integrated SoCIEEE Transactions on Circuits and Systems I: Regular Papers10.1109/TCSI.2024.335179171:5(2119-2131)Online publication date: May-2024
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cover image ACM Other conferences
DAC '14: Proceedings of the 51st Annual Design Automation Conference
June 2014
1249 pages
ISBN:9781450327305
DOI:10.1145/2593069
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 June 2014

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Author Tags

  1. 3D Mobile Games
  2. Embedded GPU
  3. Power Management

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DAC '14

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

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  • (2025)D-VSync: Decoupled Rendering and Displaying for Smartphone GraphicsProceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 110.1145/3669940.3707235(326-341)Online publication date: 3-Feb-2025
  • (2025)A Coordinated Approach to Control Mechanical and Computing Resources in Mobile RobotsIEEE Transactions on Robotics10.1109/TRO.2024.349234541(347-363)Online publication date: 1-Jan-2025
  • (2024)A Lightweight DRDPG-Based RL DVFS for Video Rendering on CPU-GPU Integrated SoCIEEE Transactions on Circuits and Systems I: Regular Papers10.1109/TCSI.2024.335179171:5(2119-2131)Online publication date: May-2024
  • (2024)3D-TemPo: Optimizing 3-D DRAM Performance Under Temperature and Power ConstraintsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2024.336723543:8(2263-2276)Online publication date: Aug-2024
  • (2024)A Learning-Based and Network-Aware Power Management for Mobile Devices2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00123(894-899)Online publication date: 2-Jul-2024
  • (2024)79‐2: Peripheral Dimming Technique Depending on Field‐of‐View for Low‐Power Head‐Mounted DevicesSID Symposium Digest of Technical Papers10.1002/sdtp.1772955:1(1096-1099)Online publication date: 30-Jul-2024
  • (2023)A Workload-Aware DVFS Robust to Concurrent Tasks for Mobile DevicesProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3592524(1-16)Online publication date: 2-Oct-2023
  • (2023)Combatting Energy Issues for Mobile ApplicationsACM Transactions on Software Engineering and Methodology10.1145/352785132:1(1-44)Online publication date: 13-Feb-2023
  • (2023)PELSI: Power-Efficient Layer-Switched Inference2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)10.1109/RTCSA58653.2023.00011(12-17)Online publication date: 30-Aug-2023
  • (2023)MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323882(1-10)Online publication date: 28-Oct-2023
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