VADI: GPU Virtualization for an Automotive Platform

Chiyoung Lee, Se Won Kim, Chuck Yoo

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Modern vehicles are evolving with more electronic components than ever before (In this paper, 'vehicle' means 'automotive vehicle.' It is also equal to 'car.') One notable example is graphical processing unit (GPU), which is a key component to implement a digital cluster. To implement the digital cluster that displays all the meters (such as speed and fuel gauge) together with infotainment services (such as navigator and browser), the GPU needs to be virtualized; however, GPU virtualization for the digital cluster has not been addressed yet. This paper presents a Virtualized Automotive DIsplay (VADI) system to virtualize a GPU and its attached display device. VADI manages two execution domains: one for the automotive control software and the other for the in-vehicle infotainment (IVI) software. Through GPU virtualization, VADI provides GPU rendering to both execution domains, and it simultaneously displays their images on a digital cluster. In addition, VADI isolates GPU from the IVI software in order to protect it from potential failures of the IVI software. We implement VADI with Vivante GC2000 GPU and perform experiments to ensure requirements of International Standard Organization (ISO) safety standards. The results show that VADI guarantees 30 frames per second (fps), which is the minimum frame rate for digital cluster mandated by ISO safety standards even with the failure of the IVI software. It also achieves 60 fps in a synthetic workload.

Original languageEnglish
Article number7359144
Pages (from-to)277-290
Number of pages14
JournalIEEE Transactions on Industrial Informatics
Issue number1
Publication statusPublished - 2016 Feb


  • Automotive virtualization
  • Device isolation
  • Driver information systems
  • GPU Virtualization
  • Road vehicle software

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering


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