Abstract
This study presents a single-core and a multi-core processor architecture for health monitoring systems where slow biosignal events and highly parallel computations exist. The single-core architecture is composed of a processing core (PC), an instruction memory (IM) and a data memory (DM), while the multi-core architecture consists of PCs, individual IMs for each core, a shared DM and an interconnection crossbar between the cores and the DM. These architectures are compared with respect to power vs performance trade-offs for a multi-lead electrocardiogram signal conditioning application exploiting near threshold computing. The results show that the multi-core solution consumes 66% less power for high computation requirements (50.1 MOps/s), whereas 10.4% more power for low computation needs (681 kOps/s).
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Dogan, A.Y., Atienza, D., Burg, A., Loi, I., Benini, L. (2011). Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing. In: Ayala, J.L., GarcÃa-Cámara, B., Prieto, M., Ruggiero, M., Sicard, G. (eds) Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation. PATMOS 2011. Lecture Notes in Computer Science, vol 6951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24154-3_11
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DOI: https://doi.org/10.1007/978-3-642-24154-3_11
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