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"HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology."

Nael Fasfous et al. (2021)

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DOI: 10.1145/3476997

access: closed

type: Journal Article

metadata version: 2021-11-26

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  - journals/tecs/FasfousVFVSDUNM21
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  - https://dblp.org/rec/journals/tecs/FasfousVFVSDUNM21
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele:
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. 20(5s): 66:1-66:25 (2021)

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