On the performance of a GPU-based SoC in a distributed spatial audio system Articles uri icon


  • Badia, Jose M.
  • Larios, Diego F.
  • Personal, Enrique
  • Ferrer, Miguel
  • Fuster, Laura
  • Lupoiu, Mihaita
  • Gonzalez, Alberto
  • Leon, Carlos
  • Vidal, Antonio M.
  • Quintana Orti, Enrique S.

publication date

  • July 2021

start page

  • 6920

end page

  • 6935


  • 7


  • 77

International Standard Serial Number (ISSN)

  • 0920-8542

Electronic International Standard Serial Number (EISSN)

  • 1573-0484


  • Many current system-on-chip (SoC) devices are composed of low-power multicore processors combined with a small graphics accelerator (or GPU) offering a trade-off between computational capacity and low-power consumption. In this context, spatial audio methods such as wave field synthesis (WFS) can benefit from a distributed system composed of several SoCs that collaborate to tackle the high computational cost of rendering virtual sound sources. This paper aims at evaluating important aspects dealing with a distributed WFS implementation that runs over a network of Jetson Nano boards composed of embedded GPU-based SoCs: computational performance, energy efficiency, and synchronization issues. Our results show that the maximum efficiency is obtained when the WFS system operates the GPU frequency at 691.2 MHz, achieving 11 sources-per-Watt. Synchronization experiments using the NTP protocol show that the maximum initial delay of 10 ms between nodes does not prevent us from achieving high spatial sound quality.


  • Mechanical Engineering


  • embedded systems; gpu; jetson nano; real time; spatial audio; system-on-chip (soc); wave field synthesis