Artículo
On the performance of a GPU-based SoC in a distributed spatial audio system
Autor/es | Belloch, Jose A.
Badía, José Manuel Larios Marín, Diego Francisco Personal Vázquez, Enrique Ferrer, Miguel Fuster, Laura Lupoiu, Mihaita González, Alberto León de Mora, Carlos Vidal, Antonio M. Quintana Ortí, Enrique S. |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2021 |
Fecha de depósito | 2024-02-01 |
Publicado en |
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Resumen | 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. ... 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 per formance, 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. |
Agencias financiadoras | Gobierno de España Universitat Jaume I Generalitat Valenciana |
Identificador del proyecto | ESP2015-68245-C4-1-P
TIN2017-82972-R UJI-B2019-36 PROMETEO/2019/109 |
Cita | Belloch, J.A., Badía, J.M., Larios Marín, D.F., Personal Vázquez, E., Ferrer, M., Fuster, L.,...,Quintana Ortí, E.S. (2021). On the performance of a GPU-based SoC in a distributed spatial audio system. Journal of Supercomputing, 77 (7), 6920-6935. https://doi.org/10.1007/s11227-020-03577-4. |
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