Publication: Beamforming filtering with real-time constraints on mobile embedded devices
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2016-02
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Abstract
Nowadays Tables and Smart phones are equipped with low power processor. Some of them, like the NVIDIA Tegra
SoC, also come with a GPU integrated so that both, the CPU and the GPU have access directly to the same RAM
memory. In another vein, one the main limitations of microphone array algorithms for audio processing is the high
computational cost required to reproduce real acoustics environments when real-time signal processing is absolutely
required. One of these algorithms is the Beamforming Algorithm, which is used to recover acoustic signals from
their observations when they are corrupted by noise, reverberation and other interfering signals. In order to achieve
real-time processing executing this algorithm we have employed high performance libraries such as OPENBLAS,
LAPACK, CUBLAS, PLASMA and MAGMA, and a particular tune programming for these mobile devices.
Description
Proceedings of the First PhD Symposium on Sustainable Ultrascale
Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
Keywords
Heterogeneous Computing, Low Power Processors, ARMv7, ARM Cortex-A15, Beamforming Filter
Bibliographic citation
Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 33-36.