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Published in:
2011 | OriginalPaper | Chapter
Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing
Authors : Ahmed Yasir Dogan, David Atienza, Andreas Burg, Igor Loi, Luca Benini
Published in: Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation
Publisher: Springer Berlin Heidelberg
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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
).