Efficient Computational Scheduling of Box and Gaussian FIR Filtering for CPU Microarchitecture

Norishige Fukushima, Yoshihiro Maeda, Yuki Kawasaki, Masahiro Nakamura, Tomoaki Tsumura, Kenjiro Sugimoto, Sei Ichiro Kamata

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

In this paper, we propose efficient computational scheduling of box and Gaussian filtering. These filters are fundamental tools and used for various applications. The computational order of the naïve implementations of these FIR filters are O(r^{2}), where r is the kernel radius. A separable implementation reduces the order into O(r) but requires twice times of filtering. A recursive representation dramatically sheds the order into O(1) but also needs twice or more times filtering. The efficient representation curtails the number of arithmetic operations; however, the influence of data I/O for the computational time becomes dominant. In this paper, we optimize the computational scheduling of O(1) box and Gaussian filters to competently utilize cache memory for reducing the computational time of data I/O. Experimental results show that the proposed scheduling has higher computational performance than the conventional implementation.

本文言語English
ホスト出版物のタイトル2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ875-879
ページ数5
ISBN(電子版)9789881476852
DOI
出版ステータスPublished - 2019 3 4
イベント10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
継続期間: 2018 11 122018 11 15

出版物シリーズ

名前2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
国/地域United States
CityHonolulu
Period18/11/1218/11/15

ASJC Scopus subject areas

  • 情報システム

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