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Erschienen in:

04.01.2021

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

verfasst von: Jose A. Belloch, José M. Badía, Diego F. Larios, Enrique Personal, Miguel Ferrer, Laura Fuster, Mihaita Lupoiu, Alberto Gonzalez, Carlos León, Antonio M. Vidal, Enrique S. Quintana-Ortí

Erschienen in: The Journal of Supercomputing | Ausgabe 7/2021

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Abstract

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.

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Titel: On the performance of a GPU-based SoC in a distributed spatial audio system
verfasst von: Jose A. Belloch
José M. Badía
Diego F. Larios
Enrique Personal
Miguel Ferrer
Laura Fuster
Mihaita Lupoiu
Alberto Gonzalez
Carlos León
Antonio M. Vidal
Enrique S. Quintana-Ortí
Publikationsdatum: 04.01.2021
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 7/2021
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-020-03577-4

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