• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Performance Analyzer for Embedded AI Processor


Dong Hyun Hwang, Young Hyun Yoon, Chang Yeop Han, Seung Eun Lee, Journal of Internet Computing and Services, Vol. 21, No. 5, pp. 149-157, Oct. 2020
10.7472/jksii.2020.21.5.149, Full Text:
Keywords: AI processor, Simulator, Artificial intelligence, Embedded System, SoC

Abstract

Recently, as interest in artificial intelligence has increased, many studies have been conducted to implement AI processors. However, the AI processor requires functional verification as well as performance verification on whether the AI processor is suitable for the application. In this paper, We propose an AI processor performance analyzer that can verify the application performance and explore the limitations of the processor. By Using the performance analyzer, we explore the limitations of the AI processor and optimize the AI model to fit an AI processor in image recognition and speech recognition applications.


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Cite this article
[APA Style]
Hwang, D., Yoon, Y., Han, C., & Lee, S. (2020). Performance Analyzer for Embedded AI Processor. Journal of Internet Computing and Services, 21(5), 149-157. DOI: 10.7472/jksii.2020.21.5.149.

[IEEE Style]
D. H. Hwang, Y. H. Yoon, C. Y. Han, S. E. Lee, "Performance Analyzer for Embedded AI Processor," Journal of Internet Computing and Services, vol. 21, no. 5, pp. 149-157, 2020. DOI: 10.7472/jksii.2020.21.5.149.

[ACM Style]
Dong Hyun Hwang, Young Hyun Yoon, Chang Yeop Han, and Seung Eun Lee. 2020. Performance Analyzer for Embedded AI Processor. Journal of Internet Computing and Services, 21, 5, (2020), 149-157. DOI: 10.7472/jksii.2020.21.5.149.