Accuracy analysis of machine learning-based performance modeling for microprocessors

Yoshihiro Tanaka, Keitaro Oka, Takatsugu Ono, Koji Inoue

研究成果: 著書/レポートタイプへの貢献会議での発言

抜粋

This paper analyzes accuracy of performance models generated by machine learning-based empirical modeling methodology. Although the accuracy strongly depends on the quality of learning procedure, it is not clear what kind of learning algorithms and training data set (or feature) should be used. This paper inclusively explores the learning space of processor performance modeling as a case study. We focus on static architectural parameters as training data set such as cache size and clock frequency. Experimental results show that a tree-based non-linear regression modeling is superior to a stepwise linear regression modeling. Another observation is that clock frequency is the most important feature to improve prediction accuracy.

元の言語英語
ホスト出版物のタイトルProceedings of the 2016 4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ83-86
ページ数4
ISBN(電子版)9781467389365
DOI
出版物ステータス出版済み - 7 21 2016
イベント4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016 - Cairo, エジプト
継続期間: 5 31 20166 2 2016

出版物シリーズ

名前Proceedings of the 2016 4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016

その他

その他4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016
エジプト
Cairo
期間5/31/166/2/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Computer Science Applications

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  • これを引用

    Tanaka, Y., Oka, K., Ono, T., & Inoue, K. (2016). Accuracy analysis of machine learning-based performance modeling for microprocessors. : Proceedings of the 2016 4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016 (pp. 83-86). [7518973] (Proceedings of the 2016 4th International Japan-Egypt Conference on Electronic, Communication and Computers, JEC-ECC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JEC-ECC.2016.7518973