Multicore implementation of a multichannel parallel graphic equalizer
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Otros documentos de la autoría: BELLOCH, JOSE A.; Badía, José; León, Germán; Bank, Balázs; Välimäki, Vesa
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Título
Multicore implementation of a multichannel parallel graphic equalizerFecha de publicación
2022-04-22Editor
SpringerISSN
0920-8542; 1573-0484Cita bibliográfica
Belloch, J.A., Badía, J., León, G. et al. Multicore implementation of a multichannel parallel graphic equalizer. J Supercomput 78, 15715–15729 (2022). https://doi.org/10.1007/s11227-022-04495-3Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Numerous signal processing applications are emerging on mobile computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must be optimized for energy ... [+]
Numerous signal processing applications are emerging on mobile computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must be optimized for energy efficiency. Many current embedded devices are composed of low-power multicore processors that offer a good trade-off between computational capacity and low power consumption. In this context, equalizers are widely used in multiple mobile-based applications such as “Music streaming” to adjust the levels of bass and treble in sound reproduction. In this study, we evaluate a graphic equalizer from audio, computational capacity, and energy efficiency perspectives, as well as the execution of multiple real-time equalizers running on an embedded quad-core processor of a mobile device. To this end, we experiment with the working frequencies as well as the parallelism that can be extracted from a quad-core ARM Cortex-A57. Results show that using high CPU frequencies and three or four cores, our parallel algorithm is able to equalize more than five channels per watt in real time with an audio buffer of 4096 samples, which implies a latency of 92.8 ms at the standard sample rate of 44.1 kHz. [-]
Publicado en
The Journal of Supercomputing (2022) 78:15715–15729Entidad financiadora
Aalto University | Universidad Carlos III | Ministerio de Ciencia, Innovación y Universidades | National Research, Development, and Innovation Fund of Hungary | Regional Government of Madrid
Código del proyecto o subvención
NordForsk Project No. 86892 | 2021/00310/001 | PID2019-106455GB-C21 | PID2020-113656RB-C21 | TKP2021-EGA-02 | MIMACUHSPACE-CM-UC3M (2022/00024/001)
Título del proyecto o subvención
Ayuda Movilidad Programa Propio de Investigación, modalidad A: jóvenes doctores
Derechos de acceso
© The Author(s) 2022
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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