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Proceedings Paper

Impact of memory bottleneck on the performance of graphics processing units
Author(s): Dong Oh Son; Hong Jun Choi; Jong Myon Kim; Cheol Hong Kim
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Paper Abstract

Recent graphics processing units (GPUs) can process general-purpose applications as well as graphics applications with the help of various user-friendly application programming interfaces (APIs) supported by GPU vendors. Unfortunately, utilizing the hardware resource in the GPU efficiently is a challenging problem, since the GPU architecture is totally different to the traditional CPU architecture. To solve this problem, many studies have focused on the techniques for improving the system performance using GPUs. In this work, we analyze the GPU performance varying GPU parameters such as the number of cores and clock frequency. According to our simulations, the GPU performance can be improved by 125.8% and 16.2% on average as the number of cores and clock frequency increase, respectively. However, the performance is saturated when memory bottleneck problems incur due to huge data requests to the memory. The performance of GPUs can be improved as the memory bottleneck is reduced by changing GPU parameters dynamically.

Paper Details

Date Published: 9 December 2015
PDF: 5 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981713 (9 December 2015); doi: 10.1117/12.2228592
Show Author Affiliations
Dong Oh Son, Chonnam National Univ. (Korea, Republic of)
Hong Jun Choi, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jong Myon Kim, Univ. of Ulsan (Korea, Republic of)
Cheol Hong Kim, Chonnam National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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