Vectorization of binaural sound virtualization on the ARM Cortex-A15 architecture. Belloch, J. A., González, A., Igual, F. D., Mayo, R., & Quintana-Orti, E. S. In 2015 23rd European Signal Processing Conference (EUSIPCO), pages 1601-1605, Aug, 2015.
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Paper doi abstract bibtex
Paper doi abstract bibtex Today's mobile devices are equipped with low power processors featuring SIMD (single-instruction, multiple-data) floating-point units which can operate with multiple data units concurrently. This is the case, e.g., of the ARMv7 architecture, which integrates the (NEON) Advanced SIMD extension, a combined 64- and 128-bit SIMD instruction set for standardized acceleration of media and signal processing applications. In this paper we target the efficient implementation of binaural sound virtualization, a heavy-duty audio processing application that can eventually require 16 convolutions to synthesize a virtual sound source. For this application, we describe a data reorganization that allows to exploit the 128-bit NEON intrinsics of an ARM Cortex-A15 core. As a result, our new SIMD-accelerated implementation is capable of reproducing up to 60 sound sources under realtime conditions, compared with the 40 sound sources that can be handled by the original code.
@InProceedings{7362654,
author = {J. A. Belloch and A. González and F. D. Igual and R. Mayo and E. S. Quintana-Orti},
booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
title = {Vectorization of binaural sound virtualization on the ARM Cortex-A15 architecture},
year = {2015},
pages = {1601-1605},
abstract = {Today's mobile devices are equipped with low power processors featuring SIMD (single-instruction, multiple-data) floating-point units which can operate with multiple data units concurrently. This is the case, e.g., of the ARMv7 architecture, which integrates the (NEON) Advanced SIMD extension, a combined 64- and 128-bit SIMD instruction set for standardized acceleration of media and signal processing applications. In this paper we target the efficient implementation of binaural sound virtualization, a heavy-duty audio processing application that can eventually require 16 convolutions to synthesize a virtual sound source. For this application, we describe a data reorganization that allows to exploit the 128-bit NEON intrinsics of an ARM Cortex-A15 core. As a result, our new SIMD-accelerated implementation is capable of reproducing up to 60 sound sources under realtime conditions, compared with the 40 sound sources that can be handled by the original code.},
keywords = {audio signal processing;microprocessor chips;binaural sound virtualization vectorization;ARM Cortex-A15 architecture;SIMD floating-point units;single-instruction multiple-data;NEON Advanced SIMD extension;media application;signal processing application;heavy-duty audio processing application;sound source;Neon;Registers;Program processors;Virtualization;Computer architecture;Databases;Signal processing;Audio Processing;Spatial Sound;Low Power Processors;ARMv7 and ARM Cortex-A15;NEON Intrinsics},
doi = {10.1109/EUSIPCO.2015.7362654},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570104889.pdf},
}Downloads: 0
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