Outlier-Aware Time-multiplexing MAC for Higher Energy-Efficiency on CNNs
- Title
- Outlier-Aware Time-multiplexing MAC for Higher Energy-Efficiency on CNNs
- Authors
- Kwon, Eunji; Kang, Yesung; Kang, Seokhyeong
- Date Issued
- 2019-10-08
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Abstract
- Convolutional neural networks (CNNs) are computationally intensive, and deep learning hardware should be implemented energy-efficiently for embedded systems or battery-constrained systems. In this paper, we propose an outlier-Aware time-multiplexing MAC. We exploit a CNN feature maps' characteristic of being able to express most of the data in a low bit-width except a few large values, which we call 'outliers' Our outlier-Aware time-multiplexing MAC has improved the energy efficiency by up to 21.1% compared to conventional MACs.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/106390
- Article Type
- Conference
- Citation
- 16th International System-on-Chip Design Conference, ISOCC 2019, page. 119 - 120, 2019-10-08
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