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Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices.

Eunjae Kim1, Sukwon Choi1, Cheong Ghil Kim2

  • 1Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.

Sensors (Basel, Switzerland)
|January 21, 2023
PubMed
Summary
This summary is machine-generated.

We developed a parallel algorithm to speed up geometric acoustics (GA) sound propagation on mobile devices. This multi-threaded approach significantly enhances performance for real-time audio processing.

Keywords:
multi-threaded algorithmray tracingsound rendering

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Area of Science:

  • Computer Science
  • Acoustics
  • Mobile Computing

Background:

  • Sound propagation algorithms, particularly geometric acoustics (GA)-based methods, are computationally intensive due to their reliance on ray tracing.
  • The high computational cost limits the practical application of these algorithms on resource-constrained mobile devices.
  • Efficient real-time sound propagation is crucial for immersive mobile experiences.

Purpose of the Study:

  • To enhance the performance of geometric acoustic (GA)-based sound propagation algorithms for mobile devices.
  • To address the computational challenges hindering the use of complex sound propagation models on mobile platforms.
  • To enable more sophisticated audio rendering in mobile applications.

Main Methods:

  • A multi-threaded algorithm was developed to process sound propagation steps in parallel.
  • The algorithm specifically parallelized the early reflection and late reverberation computations.
  • Performance was evaluated across four distinct virtual scenes with eight sound sources.

Main Results:

  • The proposed multi-threaded algorithm achieved an average performance improvement of 1.77 times compared to a single-threaded approach.
  • The parallel processing of early reflections and late reverberations significantly reduced computational overhead.
  • The algorithm demonstrated practical viability for improving sound propagation on mobile devices.

Conclusions:

  • The developed multi-threaded algorithm effectively accelerates geometric acoustic sound propagation on mobile devices.
  • Parallelizing key computational steps is a viable strategy for overcoming performance limitations in mobile audio processing.
  • This work contributes to enabling more realistic and computationally efficient audio rendering in mobile applications.