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Energy Scalable Computational Array



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An Energy Scalable Computational Array for Energy Harvesting Sensor Signal Processing Rajeevan Amirtharajah University of California Davis Energy Scavenging Wireless Sensor 1 Extend sensor node lifetime beyond battery limitation Scavenging energy from light heat and vibrations 1 Cope with the variability of the harvested power Energy scalable approximate signal processing E Workshop February 22 2007 2 Sensor Data Processing Subsystem Bridge Sensor to RF Microcontroller Sensor calibration DSP configuration High active power Low duty cycle DSP Coprocessor Continuous sensor data processing e g event detection High duty cycle Ultra low active power SWNT or SiNW SWNT or SiNW Microcontroller SWNT or SiNW SWNT or SiNW A D Converter E Workshop February 22 2007 ctrl data DSP Coprocessor 3 Outline Introduction Serial Computation and Energy Scalability Energy Scalable Computational Array Based on Distributed Arithmetic On Chip Low Power PWM Interconnect Conclusions and Future Work E Workshop February 22 2007 4 Extending Sensor Node Lifetime Energy Config 1 Power Config 0 Config 2 Output Input Controller Config 1 Config 0 Config 2 Quality Controller chooses appropriate configuration based on input available energy desired output quality Power awareness leads to 60 200 battery lifetime improvement Bhardwaj TVLSI01 E Workshop February 22 2007 5 Power Tradeoffs of Bit Serial Arithmetic Serial Adder Cin Bi 1 Parallel Adder Ai 1 Bi Ai Bi 1 Ai 1 Cin i Cout Ai Bi Si S i 1 Co i Si Si 1 Serial approach uses less area less interconnect capacitance fewer devices imply less leakage Must clock serial implementation at higher frequency for same throughput possibly higher supply voltage Tradeoff between dynamic power and static power E Workshop February 22 2007 6 Serial vs Parallel Multiplier Power Power vs Throughput for Multipliers 1 E 04 Power W Serial 130nm Serial 100nm 1 E 05 Serial 70nm Parallel 130nm 1 E 06 Parallel 100nm Parallel 70nm 1 E 07 1 E 03 1 E 04 1 E 05 1 E 06 1 E 07



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