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Symmetry
Volume 12
Issue 6
10.3390/sym12061029
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Review

Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

by
Anabi Hilary Kelechi
1,
Mohammed H. Alsharif
2,
Okpe Jonah Bameyi
1,
Paul Joan Ezra
1,
Iorshase Kator Joseph
1,
Aaron-Anthony Atayero
1,
Zong Woo Geem
3,* and
Junhee Hong
3,*
1
Department of Electrical Engineering and Information Engineering, College of Engineering, Covenant University, Canaanland, Ota P.M.B 1023, Ogun State 110125, Nigeria
2
Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
3
Department of Energy IT, Gachon University, Seongnam 13120, Korea
*
Authors to whom correspondence should be addressed.
Symmetry 2020, 12(6), 1029; https://doi.org/10.3390/sym12061029
Submission received: 16 May 2020 / Revised: 8 June 2020 / Accepted: 16 June 2020 / Published: 18 June 2020
(This article belongs to the Special Issue Information Technologies and Electronics)
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Abstract

Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.
Keywords: 5G; high performance computing (HPC); artificial intelligence (AI); energy efficiency (EE); machine learning (ML); Big Data; Internet of Things (IoT) 5G; high performance computing (HPC); artificial intelligence (AI); energy efficiency (EE); machine learning (ML); Big Data; Internet of Things (IoT)

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MDPI and ACS Style

Kelechi, A.H.; Alsharif, M.H.; Bameyi, O.J.; Ezra, P.J.; Joseph, I.K.; Atayero, A.-A.; Geem, Z.W.; Hong, J. Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing. Symmetry 2020, 12, 1029. https://doi.org/10.3390/sym12061029

AMA Style

Kelechi AH, Alsharif MH, Bameyi OJ, Ezra PJ, Joseph IK, Atayero A-A, Geem ZW, Hong J. Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing. Symmetry. 2020; 12(6):1029. https://doi.org/10.3390/sym12061029

Chicago/Turabian Style

Kelechi, Anabi Hilary, Mohammed H. Alsharif, Okpe Jonah Bameyi, Paul Joan Ezra, Iorshase Kator Joseph, Aaron-Anthony Atayero, Zong Woo Geem, and Junhee Hong. 2020. "Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing" Symmetry 12, no. 6: 1029. https://doi.org/10.3390/sym12061029

APA Style

Kelechi, A. H., Alsharif, M. H., Bameyi, O. J., Ezra, P. J., Joseph, I. K., Atayero, A.-A., Geem, Z. W., & Hong, J. (2020). Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing. Symmetry, 12(6), 1029. https://doi.org/10.3390/sym12061029

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