A High-accuracy and Cost-effective SFP SUMMA Array Processor for CNN Inference Application
碩士 === 國立交通大學 === 電子研究所 === 106 === We propose a high-accuracy and cost-effective array processor for Deep Convolution Neural Network (DCNN) inference application. The proposed Static Floating-Point (SFP) arithmetic allows the MAC operations operated on non-zeros bits of data. This will guarantee th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5g73p2 |