A4 Article in conference proceedings
Agile Frequency Scaling for Adaptive Power Allocation in Many-core Systems Powered by Renewable Energy Sources




List of Authors: Xiaohang Wang, Zhiming Li, Mei Yang, Yingtao Jiang, Masoud Daneshtalab, Terrence Mak
Publication year: 2014
Book title *: 2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC)
Journal name in source: 2014 19TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC)
Journal acronym: ASIA S PACIF DES AUT
Number of pages: 6
ISBN: 978-1-4799-2816-3
ISSN: 2153-6961

Abstract


As low-power electronics and miniaturization conspire to populate the world with emerging devices, one appealing approach is to power these multi-core/many-core-based devices with energy harvested from various environments. Of the most important issues concerning these devices is how to effectively allocate power budget among the cores competing for power, which is formulated as one specific type of power-performance optimization problem in this paper. We attempt to solve this problem by proposing an Adaptive Power Allocation Technique (APAT) that uses a dynamic programming network. Our goal here is to maximize the overall system performance, taking into account a unique yet challenging fact that, available power budget might have to undergo a significant change when a renewable energy source is scavenging. APAT has a linear time complexity and low hardware overhead. Experiments have confirmed that APAT can reduce 20 similar to 30% of execution time compared to other state-of-the-art power allocation algorithms. In addition, as APAT is quite insensitive to the changing rate of the power, lending itself well for power management in many-core systems powered by energy-harvesting sources.




Internal Authors/Editors

Last updated on 2019-21-08 at 22:56