| Autor: |
Duch, Loris Gérard, Basu, Soumya Subhra, Braojos Lopez, Ruben, Ansaloni, Giovanni, Pozzi, Laura, Atienza Alonso, David |
| 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 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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