Multicore implementation of a multichannel parallel graphic equalizer
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
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comunitat-uji-handle3:10234/8620
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INVESTIGACIONMetadades
Títol
Multicore implementation of a multichannel parallel graphic equalizerData de publicació
2022-04-22Editor
SpringerISSN
0920-8542; 1573-0484Cita bibliogràfica
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/s11227-022-04495-3Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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. [-]
Publicat a
The Journal of Supercomputing (2022) 78:15715–15729Entitat finançadora
Aalto University | Universidad Carlos III | Ministerio de Ciencia, Innovación y Universidades | National Research, Development, and Innovation Fund of Hungary | Regional Government of Madrid
Codi del projecte o subvenció
NordForsk Project No. 86892 | 2021/00310/001 | PID2019-106455GB-C21 | PID2020-113656RB-C21 | TKP2021-EGA-02 | MIMACUHSPACE-CM-UC3M (2022/00024/001)
Títol del projecte o subvenció
Ayuda Movilidad Programa Propio de Investigación, modalidad A: jóvenes doctores
Drets d'accés
© The Author(s) 2022
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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