GBooster: Towards Acceleration of GPU-Intensive Mobile Applications

Elliott Wen, Winston K.G. Seah, Bryan Ng, Xue Liu, Jiannong Cao, Xuefeng Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


The performance of GPUs on mobile devices is generally the bottleneck of multimedia mobile applications (e.g., 3D games and virtual reality). Previous attempts to tackle the issue mainly migrate GPU computation to servers residing in remote cloud centers. However, the costly network delay is especially undesirable for highly-interactive multimedia applications since a fast response time is critical for user experience. In this paper, we propose GBooster, a system that accelerates multimedia mobile applications by transparently offloading GPU tasks onto neighboring multimedia devices such as Smart TVs and Gaming Consoles. Specifically, GBooster intercepts and redirects system graphics calls by utilizing the Dynamic Linker Hooking technique, which requires no modification of the applications and the mobile systems. In addition, a major concern for offloading is the high energy consumption incurred by network transmissions. To address this concern, GBooster is designed to intelligently switch between the low-power Bluetooth and the high-throughput WiFi based on the traffic demand. We implement GBooster on the Android system and evaluate its performance. The results demonstrate that it can boost applications' frame rates by up to 85%. In terms of power consumption, GBooster can preserve up to 70% energy compared with local execution.
Original languageEnglish
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
Number of pages11
ISBN (Electronic)9781538617915
Publication statusPublished - 13 Jul 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - J.W. Marriott Hotel, Atlanta, United States
Duration: 5 Jun 20178 Jun 2017


Conference37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/TerritoryUnited States


  • GPU
  • Intensive
  • Mobile

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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