Detail publikace

Optimizing Digital Audio Cross-Point Matrix for Desktop Processors Using Parallel Processing and SIMD Technology

Originální název

Optimizing Digital Audio Cross-Point Matrix for Desktop Processors Using Parallel Processing and SIMD Technology

Anglický název

Optimizing Digital Audio Cross-Point Matrix for Desktop Processors Using Parallel Processing and SIMD Technology

Jazyk

en

Originální abstrakt

The paper deals with optimizing the performance of a multiply-and-add algorithm for digital audio signal processing. This algorithm is used for summing the gained input signals on output buses in applications for distributing, mixing, effect-processing, and switching multi-format digital audio signal in an audio signal network on desktop processors platforms. The paper presents results of an analysis of speed-up and real-time performance of several summing algorithms, which use parallel processing with Intel Threading Building Blocks (TBB) and Streaming SIMD Extension 2 (SSE2) technologies.

Anglický abstrakt

The paper deals with optimizing the performance of a multiply-and-add algorithm for digital audio signal processing. This algorithm is used for summing the gained input signals on output buses in applications for distributing, mixing, effect-processing, and switching multi-format digital audio signal in an audio signal network on desktop processors platforms. The paper presents results of an analysis of speed-up and real-time performance of several summing algorithms, which use parallel processing with Intel Threading Building Blocks (TBB) and Streaming SIMD Extension 2 (SSE2) technologies.

BibTex


@inproceedings{BUT33166,
  author="Jiří {Schimmel}",
  title="Optimizing Digital Audio Cross-Point Matrix for Desktop Processors Using Parallel Processing and SIMD Technology",
  annote="The paper deals with optimizing the performance of a multiply-and-add algorithm for digital audio signal processing. This algorithm is used for summing the gained input signals on output buses in applications for distributing, mixing, effect-processing, and switching multi-format digital audio signal in an audio signal network on desktop processors platforms. The paper presents results of an analysis of speed-up and real-time performance of several summing algorithms, which use parallel processing with Intel Threading Building Blocks (TBB) and Streaming SIMD Extension 2 (SSE2) technologies.",
  booktitle="Recent Advances in Circuits, Systems, Electronics, Control and Signal Processing",
  chapter="33166",
  edition="1",
  howpublished="print",
  journal="WSEAS Applied Informatics & Communications",
  year="2009",
  month="december",
  pages="1--5",
  type="conference paper"
}