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P. Beckmann, J. Whitecar, J. Peil, and K. Hegde, "Achieving Maximum Audio Processing Throughput on the Latest Chipsets," Paper 21, (2022 June.). doi: P. Beckmann, J. Whitecar, J. Peil, and K. Hegde, "Achieving Maximum Audio Processing Throughput on the Latest Chipsets," Paper 21, (2022 June.). doi:
Abstract: Automotive audio systems continue to grow in complexity with an ever-increasing set of use cases. System architectures must now consider not only playback processing, but also telephony, voice control, safety sounds, individual sound zones, and even road noise cancellation. These use cases require huge compute resources that must be distributed across multiple cores. This paper explores the audio processing throughput of the latest standalone automotive DSPs and multicore SOCs with integrated DSPs. The effects of caching, memory architecture, and multicore are presented and demonstrate how to configure an automotive audio system for maximum audio processing throughput.

@article{beckmann2022achieving,
author={beckmann, paul and whitecar, john and peil, jeff and hegde, karthik},
journal={journal of the audio engineering society},
title={achieving maximum audio processing throughput on the latest chipsets},
year={2022},
volume={},
number={},
pages={},
doi={},
month={june},} @article{beckmann2022achieving,
author={beckmann, paul and whitecar, john and peil, jeff and hegde, karthik},
journal={journal of the audio engineering society},
title={achieving maximum audio processing throughput on the latest chipsets},
year={2022},
volume={},
number={},
pages={},
doi={},
month={june},
abstract={automotive audio systems continue to grow in complexity with an ever-increasing set of use cases. system architectures must now consider not only playback processing, but also telephony, voice control, safety sounds, individual sound zones, and even road noise cancellation. these use cases require huge compute resources that must be distributed across multiple cores. this paper explores the audio processing throughput of the latest standalone automotive dsps and multicore socs with integrated dsps. the effects of caching, memory architecture, and multicore are presented and demonstrate how to configure an automotive audio system for maximum audio processing throughput.},}

TY - paper
TI - Achieving Maximum Audio Processing Throughput on the Latest Chipsets
SP - EP -
AU - Beckmann, Paul
AU - Whitecar, John
AU - Peil, Jeff
AU - Hegde, Karthik
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2022 TY - paper
TI - Achieving Maximum Audio Processing Throughput on the Latest Chipsets
SP - EP -
AU - Beckmann, Paul
AU - Whitecar, John
AU - Peil, Jeff
AU - Hegde, Karthik
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - June 2022
AB - Automotive audio systems continue to grow in complexity with an ever-increasing set of use cases. System architectures must now consider not only playback processing, but also telephony, voice control, safety sounds, individual sound zones, and even road noise cancellation. These use cases require huge compute resources that must be distributed across multiple cores. This paper explores the audio processing throughput of the latest standalone automotive DSPs and multicore SOCs with integrated DSPs. The effects of caching, memory architecture, and multicore are presented and demonstrate how to configure an automotive audio system for maximum audio processing throughput.