An energy efficient radix-4 Booth encoding parallel multiplier design
Common-used Convolutional Neural Networks (CNNs) contain billions of multiplications, which is the bottleneck of hardware implementation of CNNs. To reduce energy cost of multiplier, an energy-efficient radix-4 Booth encoder multiplier is proposed. By improving the partial product module, the compen...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Chinês |
| Publicado: |
National Computer System Engineering Research Institute of China
2023-04-01
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| Colección: | Dianzi Jishu Yingyong |
| Materias: | |
| Acceso en línea: | http://www.chinaaet.com/article/3000160467 |
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