DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Dongjoo | ko |
dc.contributor.author | Lee, Jinmook | ko |
dc.contributor.author | LEE, Jinsu | ko |
dc.contributor.author | Lee, Juhyoung | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2019-04-15T14:39:59Z | - |
dc.date.available | 2019-04-15T14:39:59Z | - |
dc.date.created | 2018-12-19 | - |
dc.date.created | 2018-12-19 | - |
dc.date.created | 2018-12-19 | - |
dc.date.issued | 2017-04 | - |
dc.identifier.citation | IEEE Symposium on Low-Power and High-Speed Chips (IEEE COOL Chips) | - |
dc.identifier.issn | 2473-4683 | - |
dc.identifier.uri | http://hdl.handle.net/10203/254269 | - |
dc.description.abstract | An energy-efficient deep learning processor is proposed for convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in mobile platforms. The 16mm(2) chip is fabricated using 65nm technology with 3 key features, 1) Reconfigurable heterogeneous architecture to support both CNNs and RNNs, 2) LUT-based reconfigurable multiplier optimized for dynamic fixed-point with the on-line adaptation, 3) Quantization table-based matrix multiplication to reduce off-chip memory access and remove duplicated multiplications. As a result, compared to the [2] and [3], this work shows 20x and 4.5x higher energy efficiency, respectively. Also, DNPU shows 6.5(x) higher energy efficiency compared to the [5]. | - |
dc.language | English | - |
dc.publisher | Cool Chips :IEEE Symposium on Low-Power and High-Speed Chips and Systems | - |
dc.title | An Energy-Efficient Deep Learning Processor with Heterogeneous Multi-Core Architecture for Convolutional Neural Networks and Recurrent Neural Networks | - |
dc.type | Conference | - |
dc.identifier.wosid | 000411738200001 | - |
dc.identifier.scopusid | 2-s2.0-85022195017 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | IEEE Symposium on Low-Power and High-Speed Chips (IEEE COOL Chips) | - |
dc.identifier.conferencecountry | JA | - |
dc.identifier.conferencelocation | Yokohama Joho Bunka Center | - |
dc.identifier.doi | 10.1109/CoolChips.2017.7946376 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
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