An Investigation of Single-Core and Multi-Core Computing Methods for Biosignal Processing
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Abstract
This paper provides a single-core and multi-core processor design for applications involving highly parallel processing and sluggish biosignal events in health surveillance systems. An instruction memory (IM), a data memory (DM), and a processor core (PC) make up the single-core design. In contrast, the multi-core architecture is made up of PCs, separate IMs for each core, a shared DM, and an interconnection cross-bar connecting the cores and the DM. The power vs. performance compromises for a multi-lead ECG signal conditioning application that takes advantage of near threshold computing are evaluated between both designs. According to the findings, the multi-core system uses 10.4% more power for low processing demands (681 kOps/s) and 66% less power for high processing needs (50.1 MOps/s).
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