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DANCE: Differentiable Accelerator/Network Co-Exploration
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Kanghyun | - |
dc.contributor.author | Hong, Deokki | - |
dc.contributor.author | Yoon, Hojae | - |
dc.contributor.author | Yu, Joonsang | - |
dc.contributor.author | Kim, Youngsok | - |
dc.contributor.author | Lee, Jinho | - |
dc.date.accessioned | 2024-05-02T05:41:15Z | - |
dc.date.available | 2024-05-02T05:41:15Z | - |
dc.date.created | 2022-07-22 | - |
dc.date.created | 2022-07-22 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | 2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC), Vol.2021-December, pp.337-342 | - |
dc.identifier.issn | 0738-100X | - |
dc.identifier.uri | https://hdl.handle.net/10371/200450 | - |
dc.description.abstract | This work presents DANCE, a differentiable approach towards the co-exploration of hardware accelerator and network architecture design. At the heart of DANCE is a differentiable evaluator network. By modeling the hardware evaluation software with a neural network, the relation between the accelerator design and the hardware metrics becomes differentiable, allowing the search to be performed with backpropagation. Compared to the naive existing approaches, our method performs co-exploration in a significantly shorter time, while achieving superior accuracy and hardware cost metrics. | - |
dc.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | DANCE: Differentiable Accelerator/Network Co-Exploration | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/DAC18074.2021.9586121 | - |
dc.citation.journaltitle | 2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | - |
dc.identifier.wosid | 000766079700057 | - |
dc.identifier.scopusid | 2-s2.0-85119401786 | - |
dc.citation.endpage | 342 | - |
dc.citation.startpage | 337 | - |
dc.citation.volume | 2021-December | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Yu, Joonsang | - |
dc.contributor.affiliatedAuthor | Lee, Jinho | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
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- College of Engineering
- Department of Electrical and Computer Engineering
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