Detail publikace

Performance Analysis of Parallel Signal Processing Algorithms in Audio Mixing Systems

Originální název

Performance Analysis of Parallel Signal Processing Algorithms in Audio Mixing Systems

Anglický název

Performance Analysis of Parallel Signal Processing Algorithms in Audio Mixing Systems

Jazyk

en

Originální abstrakt

Algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of view. In such systems, the summing and multiplication of audio signal take up a significant portion of the processing power of the system. Therefore, there is a tendency to decrease its computing demands and thus reserve the computing power of the processor for other signal processing modules in the audio network. Various approaches can therefore be used to distribute computing among several threads. Seven approaches are analyzed in the paper and fastest one is found with regard to the size of audio sample buffers.

Anglický abstrakt

Algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of view. In such systems, the summing and multiplication of audio signal take up a significant portion of the processing power of the system. Therefore, there is a tendency to decrease its computing demands and thus reserve the computing power of the processor for other signal processing modules in the audio network. Various approaches can therefore be used to distribute computing among several threads. Seven approaches are analyzed in the paper and fastest one is found with regard to the size of audio sample buffers.

BibTex


@inproceedings{BUT32544,
  author="Jiří {Schimmel}",
  title="Performance Analysis of Parallel Signal Processing Algorithms in Audio Mixing Systems",
  annote="Algorithms for real-time parallel processing of an audio signal in large-scale digital audio distribution networks, implemented on personal computer platform, are compared in this paper from the performance point of view. In such
systems, the summing and multiplication of audio signal take up a significant portion of the processing power of the system. Therefore, there is a tendency to decrease its computing demands and thus reserve the computing power of the processor for other signal processing modules in the audio network. Various approaches can therefore be used to distribute computing among several threads. Seven approaches are analyzed in the paper and fastest one is found with regard to the size of audio sample buffers.",
  address="IEEE Computer Society",
  booktitle="Proceedings of The Ninth International Conference on Networks ICN 2010",
  chapter="32544",
  howpublished="print",
  institution="IEEE Computer Society",
  year="2010",
  month="april",
  pages="61--64",
  publisher="IEEE Computer Society",
  type="conference paper"
}