Improving mobile gaming performance through cooperative CPU-GPU thermal management

Alok Prakash, Hussam Amrouch, Muhammad Shafique, Tulika Mitra, Jörg Henkel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

State-of-the-art thermal management techniques independently throttle the frequencies of high-performance multi-core CPU and powerful graphics processing units (GPU) on heterogeneous multiprocessor system-on-chips deployed in latest mobile devices. For graphics-intensive gaming applications, this approach is inadequate because both the CPU and the GPU contribute towards the overall application performance (frames per second or FPS) as well as the on-chip temperature. The lack of coordination between CPU and GPU induces recurrent frequency throttling to maintain on-chip temperature below the permissible limit. This leads to significantly degraded application performance and large variation in temperature over time. We propose a control-theory based dynamic thermal management technique that cooperatively scales CPU and GPU frequencies to meet the thermal constraint while achieving high performance for mobile gaming. Experimental results with six popular Android games on a commercial mobile platform show an average 19% performance improvement and over 90% reduction in temperature variance compared to the original Linux approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450342360
DOIs
StatePublished - Jun 5 2016
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: Jun 5 2016Jun 9 2016

Publication series

NameProceedings - Design Automation Conference
Volume05-09-June-2016
ISSN (Print)0738-100X

Other

Other53rd Annual ACM IEEE Design Automation Conference, DAC 2016
CountryUnited States
CityAustin
Period6/5/166/9/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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