Please use this identifier to cite or link to this item: https://doi.org/10.7873/DATE2014.304
Title: Thermal-aware frequency scaling for adaptive workloads on heterogeneous MPSoCs
Authors: Yu, H.
Syed, R.
Ha, Y. 
Issue Date: 2014
Source: Yu, H.,Syed, R.,Ha, Y. (2014). Thermal-aware frequency scaling for adaptive workloads on heterogeneous MPSoCs. Proceedings -Design, Automation and Test in Europe, DATE : -. ScholarBank@NUS Repository. https://doi.org/10.7873/DATE2014.304
Abstract: For applications featuring adaptive workloads, the quality of their task execution can be dynamically adjusted given the runtime constraints. When mapping them to heterogeneous MPSoCs, it is expected not only to achieve the highest possible execution quality, but also meet the critical thermal challenges from the continuously increasing chip density. Prior thermal management techniques, such as Dynamic Voltage/Frequency Scaling (DVFS) and thread migration, do not take into account the trade-off possibility between execution quality and temperature control. In this paper, we explore the capability of adaptive workloads for effective temperature control, while maximally ensuring the execution Quality-of-Service (QoS). We present a thermal-aware dynamic frequency scaling (DFS) algorithm on heterogeneous MPSoCs, where judicious frequency selection achieves QoS maximization under the temperature threshold, which is converted to the thermal-timing deadline as an additional execution constraint. Results show that our frequency scaling algorithm achieves as large as 31.5% execution cycle/QoS improvement under thermal constraints. © 2014 EDAA.
Source Title: Proceedings -Design, Automation and Test in Europe, DATE
URI: http://scholarbank.nus.edu.sg/handle/10635/84299
ISBN: 9783981537024
ISSN: 15301591
DOI: 10.7873/DATE2014.304
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