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Graceful Performance Modulation for Power-Neutral Transient Computing Systems
Journal article   Open access   Peer reviewed

Graceful Performance Modulation for Power-Neutral Transient Computing Systems

Domenico Balsamo, Anup Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett and Luca Benini
IEEE transactions on computer-aided design of integrated circuits and systems, v 35(5), pp 738-749
01 May 2016
url
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.5244View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Computer Science Computer Science, Hardware & Architecture Computer Science, Interdisciplinary Applications Engineering Engineering, Electrical & Electronic Science & Technology Technology
Transient computing systems do not have energy storage, and operate directly from energy harvesting. These systems are often faced with the inherent challenge of low-current or transient power supply. In this paper, we propose "power-neutral" operation, a new paradigm for such systems, whereby the instantaneous power consumption of the system must match the instantaneous harvested power. Power neutrality is achieved using a control algorithm for dynamic frequency scaling, modulating system performance gracefully in response to the incoming power. Detailed system model is used to determine design parameters for selecting the system voltage thresholds where the operating frequency will be raised or lowered, or the system will be hibernated. The proposed control algorithm for power-neutral operation is experimentally validated using a microcontroller incorporating voltage threshold-based interrupts for frequency scaling. The microcontroller is powered directly from real energy harvesters; results demonstrate that a power-neutral system sustains operation for 4%-88% longer with up to 21% speedup in application execution.

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58 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#7 Affordable and Clean Energy

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Hardware & Architecture
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
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