GPU-Accelerated Computing Performance Analysis for 2D Rendering of DSSS Signal Spectrum Data 


Vol. 45,  No. 3, pp. 546-552, Mar.  2020
10.7840/kics.2020.45.3.546


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  Abstract

In this paper, we analyze the GPU-accelerated computing performance for spectral data generation and 2D rendering of DSSS signals. All processes were designed and implemented for CPU serial computing and GPU-accelerated computing in process units. It compares and analyzes the performance according to the number of processed samples in two devices. Performance analysis shows that data processing using the GPU-accelerated computing model is most desirable for high-performance GPU environments and large data inputs when considering device performance and processing sample volume.

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  Cite this article

[IEEE Style]

W. S. Won, J. J. Ah, K. H. Seok, Y. H. Chul, P. C. Sun, "GPU-Accelerated Computing Performance Analysis for 2D Rendering of DSSS Signal Spectrum Data," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 546-552, 2020. DOI: 10.7840/kics.2020.45.3.546.

[ACM Style]

Woo Seong Won, Jeong Jin Ah, Kang Hyeun Seok, Yoon Hyun Chul, and Park Cheol Sun. 2020. GPU-Accelerated Computing Performance Analysis for 2D Rendering of DSSS Signal Spectrum Data. The Journal of Korean Institute of Communications and Information Sciences, 45, 3, (2020), 546-552. DOI: 10.7840/kics.2020.45.3.546.

[KICS Style]

Woo Seong Won, Jeong Jin Ah, Kang Hyeun Seok, Yoon Hyun Chul, Park Cheol Sun, "GPU-Accelerated Computing Performance Analysis for 2D Rendering of DSSS Signal Spectrum Data," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 546-552, 3. 2020. (https://doi.org/10.7840/kics.2020.45.3.546)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880