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conference paper

A Multi-Core Reconfigurable Architecture for Ultra-Low Power Bio-Signal Analysis

2016
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)

This paper introduces a novel computing architecture devoted to the ultra-low power analysis of multiple bio-signals. Its structure comprises several processors interfaced with a shared acceleration resource, implemented as a Coarse Grained Reconfigurable Array (CGRA). The CGRA supports the efficient execution of the computationally intensive kernels present in this application domain, while requiring a low reconfiguration overhead. The run-time behavior of the resulting heterogeneous system is orchestrated by a light-weight hardware mechanism, which concurrently synchronizes processors and regulates access to the reconfigurable accelerator. The architecture achieves speed-ups of up to 11x on different bio-signal processing kernels and system-level energy savings of up to 18.6%, with respect to a multi-core platform, which does not feature CGRA acceleration.

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biocas16-cgra.pdf

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Postprint

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http://purl.org/coar/version/c_ab4af688f83e57aa

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openaccess

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1.21 MB

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Adobe PDF

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