Analysis of the CPU/GPU Temperature and Energy Efficiency depending on Executed Applications (응용프로그램 실행에 따른 CPU/GPU의 온도 및 컴퓨터 시스템의 에너지 효율성 분석)

최홍준; 강승구; 김종면; Cheol Hong Kim (김철홍)

Analysis of the CPU/GPU Temperature and Energy Efficiency depending on Executed Applications

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2012, 17(5), pp.9-19
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

최홍준 ¹, 강승구 ¹, 김종면 ², Cheol Hong Kim ¹

¹전남대학교
²울산대학교

Accredited

ABSTRACT

As the clock frequency increases, CPU performance improves continuously. However, power and thermal problems in the CPU become more serious as the clock frequency increases. For this reason, utilizing the GPU to reduce the workload of the CPU becomes one of the most popular methods in recent high-performance computer systems. The GPU is a specialized processor originally designed for graphics processing. Recently, the technologies such as CUDA which utilize the GPU resources more easily become popular, leading to the improved performance of the computer system by utilizing the CPU and GPU simultaneously in executing various kinds of applications. In this work, we analyze the temperature and the energy efficiency of the computer system where the CPU and the GPU are utilized simultaneously, to figure out the possible problems in upcoming high-performance computer systems. According to our experimentation results, the temperature of both CPU and GPU increase when the application is executed on the GPU. When the application is executed on the CPU, CPU temperature increases whereas GPU temperature remains unchanged. The computer system shows better energy efficiency by utilizing the GPU compared to the CPU, because the throughput of the GPU is much higher than that of the CPU. However, the temperature of the system tends to be increased more easily when the application is executed on the GPU, because the GPU consumes more power than the CPU.

KEYWORDS

CPU, GPU, CUDA, Hotspot, Energy efficiency

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65