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

Symmetry

Anabi Hilary Kelechi¹  Paul Joan Ezra¹  Aaron-Anthony Atayero¹  Okpe Jonah Bameyi¹  Iorshase Kator Joseph¹  Mohammed H. Alsharif²  Junhee Hong³  Zong Woo Geem³ 

[1] Department of Electrical Engineering and Information Engineering, College of Engineering, Covenant University, Canaanland, Ota P.M.B 1023, Ogun State 110125, Nigeria;Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea;Department of Energy IT, Gachon University, Seongnam 13120, Korea;

关键词: 5G;    high performance computing (HPC);    artificial intelligence (AI);    energy efficiency (EE);    machine learning (ML);    Big Data;   

DOI  :  10.3390/sym12061029

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown