WFRF:(Lu Zhonghai)
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- Chen, QinyuNanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China. (author)
Smilodon : An Efficient Accelerator for Low Bit-Width CNNs with Task Partitioning
- Article/chapterEnglish2019
Publisher, publication year, extent ...
- IEEE,2019
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-260226
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260226URI
- https://doi.org/10.1109/ISCAS.2019.8702547DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- QC 20190927
- Convolutional Neural Networks (CNNs) have been widely applied in various fields such as image and video recognition, recommender systems, and natural language processing. However, the massive size and intensive computation loads prevent its feasible deployment in practice, especially on the embedded systems. As a highly competitive candidate, low bit-width CNNs are proposed to enable efficient implementation. In this paper, we propose Smilodon, a scalable, efficient accelerator for low bit-width CNNs based on a parallel streaming architecture, optimized with a task partitioning strategy. We also present the 3D systolic-like computing arrays fitting for convolutional layers. Our design is implemented on Zynq XC7ZO20 FPGA, which can satisfy the needs of real-time with a frame rate of 1, 622 FPS throughput, while consuming 2.1 Watt. To the best of our knowledge, our accelerator is superior to the state-of-the-art works in the tradeoff among throughput, power efficiency, and area efficiency.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
- Low bit-width CNNs
- 3D systolic-like array
- task partitioning
- parallel streaming architecture
Added entries (persons, corporate bodies, meetings, titles ...)
- Fu, YuxiangNanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China. (author)
- Cheng, KaifengNanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China. (author)
- Song, WenqingNanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China. (author)
- Lu, ZhonghaiKTH,Elektronik och inbyggda system(Swepub:kth)u1wqy6h0 (author)
- Li, LiNanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China. (author)
- Zhang, ChuanSoutheast Univ, Lab Efficient Architectures Digital Commun & Sign, Nanjing, Jiangsu, Peoples R China.;Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Jiangsu, Peoples R China. (author)
- Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China.Elektronik och inbyggda system (creator_code:org_t)
Related titles
- In:2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS): IEEE9781728103976
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