A multi-core reconfigurable architecture for ultra-low power bio-signal analysis
| Autor: | Giovanni Ansaloni, Laura Pozzi, Soumya Basu, Loris Duch, Ruben Braojos, David Atienza |
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| Rok vydání: | 2016 |
| Předmět: |
Multi-core processor
Signal processing business.industry Computer science 020208 electrical & electronic engineering Overhead (engineering) Control reconfiguration 02 engineering and technology 020202 computer hardware & architecture Acceleration Power analysis Application domain Embedded system 0202 electrical engineering electronic engineering information engineering business Energy (signal processing) |
| Zdroj: | BioCAS |
| DOI: | 10.1109/biocas.2016.7833820 |
| Popis: | 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 11× 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. |
| Databáze: | OpenAIRE |
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