Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems
Abstract Many recent research efforts have exploited data sparsity for the acceleration of convolutional neural network (CNN) inferences. However, the effects of data transfer between main memory and the CNN accelerator have been largely overlooked. In this work, the authors propose a CNN accelerati...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | IET Computers & Digital Techniques |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cdt2.12038 |
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