A key challenge to the future of energy-harvesting systems is the discontinuous power supply that is often generated. We propose a new approach, Hibernus, which enables computation to be sustained during intermittent supply. The approach has a low energy and time overhead which is achieved by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers.We validate the approach experimentally on a processor with FRAM nonvolatile memory, allowing it to reactively hibernate using only energy stored in its decoupling capacitance. When compared to a recently proposed technique, the approach reduces processor time and energy overheads by 76-100% and 49-79% respectively.

Hibernus: Sustaining Computation during Intermittent Supply for Energy-Harvesting Systems

BALSAMO, DOMENICO;BRUNELLI, DAVIDE;BENINI, LUCA
2015

Abstract

A key challenge to the future of energy-harvesting systems is the discontinuous power supply that is often generated. We propose a new approach, Hibernus, which enables computation to be sustained during intermittent supply. The approach has a low energy and time overhead which is achieved by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers.We validate the approach experimentally on a processor with FRAM nonvolatile memory, allowing it to reactively hibernate using only energy stored in its decoupling capacitance. When compared to a recently proposed technique, the approach reduces processor time and energy overheads by 76-100% and 49-79% respectively.
2015
Domenico Balsamo; Alex Weddell; Geoff Merrett; Bashir Al-Hashimi; Davide Brunelli; Luca Benini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/424771
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