Yu, Z., Machado, P., Zahid, A., Abdulghani, A. M., Dashtipour, K., Heidari, H. , Imran, M. A. and Abbasi, Q. H. (2020) Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning. Electronics, 9(11), 1812. (doi: 10.3390/electronics9111812)
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Abstract
This paper suggests an optimisation approach in heterogeneous computing systems to balance energy power consumption and efficiency. The work proposes a power measurement utility for a reinforcement learning (PMU-RL) algorithm to dynamically adjust the resource utilisation of heterogeneous platforms in order to minimise power consumption. A reinforcement learning (RL) technique is applied to analyse and optimise the resource utilisation of field programmable gate array (FPGA) control state capabilities, which is built for a simulation environment with a Xilinx ZYNQ multi-processor systems-on-chip (MPSoC) board. In this study, the balance operation mode for improving power consumption and performance is established to dynamically change the programmable logic (PL) end work state. It is based on an RL algorithm that can quickly discover the optimization effect of PL on different workloads to improve energy efficiency. The results demonstrate a substantial reduction of 18% in energy consumption without affecting the application’s performance. Thus, the proposed PMU-RL technique has the potential to be considered for other heterogeneous computing platforms.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Abbasi, Professor Qammer and Imran, Professor Muhammad and Yu, Zheqi and Zahid, Mr Adnan and Heidari, Professor Hadi and Abdulghani, Dr Amir Mohamed and Dashtipour, Dr Kia |
Creator Roles: | Yu, Z.Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Visualization Zahid, A.Writing – review and editing Abdulghani, A. M.Writing – review and editing Dashtipour, K.Writing – review and editing Heidari, H.Supervision Imran, M. A.Supervision Abbasi, Q. H.Supervision, Project administration, Funding acquisition |
Authors: | Yu, Z., Machado, P., Zahid, A., Abdulghani, A. M., Dashtipour, K., Heidari, H., Imran, M. A., and Abbasi, Q. H. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Electronics |
Publisher: | MDPI |
ISSN: | 0013-5070 |
ISSN (Online): | 0883-4989 |
Published Online: | 02 November 2020 |
Copyright Holders: | Copyright © 2020 The Authors |
First Published: | First published in Electronics 9(11): 1812 |
Publisher Policy: | Reproduced under a Creative Commons License |
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