Multi-core architecture design for ultra-low-power wearable health monitoring systems

Personal health monitoring systems can offer a cost-effective solution for human healthcare. To extend the lifetime of health monitoring systems, we propose a near-threshold ultra-low-power multi-core architecture featuring low-power cores, yet capable of executing biomedical applications, with multiple instruction and data memories, tightly coupled through flexible crossbar interconnects. This architecture also includes broadcasting mechanisms for the data and instruction memories to optimize system energy consumption by tailoring memory sharing to the target application. Moreover, the architecture enables power gating of the unused memory banks to lower leakage power. Our experimental results show that compared to the state-of-the-art, the proposed architecture achieves 39.5% power savings at high workload requirements (637 MOps/s), and 38.8% savings at low workload requirements (5 kOps/s), whereby leakage power consumption dominates.

[1]  Pierre Vandergheynst,et al.  Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes , 2011, IEEE Transactions on Biomedical Engineering.

[2]  Luca Benini,et al.  A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters , 2011, 2011 Design, Automation & Test in Europe.

[3]  Anantha Chandrakasan,et al.  An energy-efficient biomedical signal processing platform , 2010, 2010 Proceedings of ESSCIRC.

[4]  Bo Zhai,et al.  A 2.60pJ/Inst Subthreshold Sensor Processor for Optimal Energy Efficiency , 2006, 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers..

[5]  Yajun Ha,et al.  An Ultra-Low-Energy Multi-Standard JPEG Co-Processor in 65 nm CMOS With Sub/Near Threshold Supply Voltage , 2010, IEEE Journal of Solid-State Circuits.

[6]  David Blaauw,et al.  Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits , 2010, Proceedings of the IEEE.

[7]  David Atienza,et al.  Development and Evaluation of Multilead Wavelet-Based ECG Delineation Algorithms for Embedded Wireless Sensor Nodes , 2011, IEEE Transactions on Information Technology in Biomedicine.

[8]  David Blaauw,et al.  An Energy Efficient Parallel Architecture Using Near Threshold Operation , 2007, 16th International Conference on Parallel Architecture and Compilation Techniques (PACT 2007).

[9]  Nathan Ickes,et al.  A 10 pJ/cycle ultra-low-voltage 32-bit microprocessor system-on-chip , 2011, 2011 Proceedings of the ESSCIRC (ESSCIRC).

[10]  C. Van Hoof,et al.  Ultra-low-power wearable biopotential sensor nodes , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Luca Benini,et al.  Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing , 2011, PATMOS.

[12]  Bo Zhai,et al.  Exploring Variability and Performance in a Sub-200-mV Processor , 2008, IEEE Journal of Solid-State Circuits.