CUDA Accelerated Audio Digital Signal Processing for Real-Time Algorithms

Jillings N, Wang Y. CUDA Accelerated Audio Digital Signal Processing for Real-Time Algorithms. In: AES Convention 137. Audio Engineering Society; 2014. Paper 9120. Available from: https://aes.org/publications/elibrary-page/?id=17443

@inproceedings{Jillings2014_17443,
  author = {Jillings, Nicholas and Wang, Yonghao},
  title = {{CUDA Accelerated Audio Digital Signal Processing for Real-Time Algorithms}},
  booktitle = {AES Convention 137},
  note = {Paper 9120},
  year = {2014},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17443}
}

TY  - CPAPER
TI  - CUDA Accelerated Audio Digital Signal Processing for Real-Time Algorithms
AU  - Jillings, Nicholas
AU  - Wang, Yonghao
T2  - AES Convention 137
M1  - Paper 9120
PY  - 2014
DA  - 2014/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17443
PB  - Audio Engineering Society
LA  - en
AB  - This paper investigates the use of idle graphics processors to accelerate audio DSP for real-time algorithms. Several common algorithms have been identified for acceleration and were executed in multiple thread and block configurations to ascertain the desired configuration for the different algorithms. The GPU and CPU performing on the same data sizes and algorithm are compared against each other. From these results the paper discusses the importance of optimizing the code for GPU operation including the allocating shared resources, optimizing memory transfers, and forced serialization of feedback loops. It also introduces a new method for audio processing using GPU’s as the default processor instead of an accelerator.
ER  -