Research Article
A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices
Table 5
Memory usage in each layer for VGG-S.
| AlexNet layer | Memory limit(MB) | 200 | 100 | 50 | 10 | 5 |
| 1 | 0.63 | 0.63 | 0.63 | 0.63 | 0.60 | 2 | 4.97 | 4.97 | 4.97 | 4.97 | 4.97 | 3 | 6.74 | 6.74 | 6.74 | 5.56 | 4.39 | 4 | 8.78 | 8.78 | 8.78 | 8.78 | 4.39 | 5 | 4.88 | 4.88 | 4.88 | 4.88 | 4.88 | 6 | 1.52 | 1.52 | 1.52 | 1.52 | 3.86 | 7 | 5.53 | 5.53 | 5.53 | 5.53 | 3.28 | 8 | 1.29 | 1.29 | 1.29 | 1.29 | 1.29 | 9 | 0.77 | 0.77 | 0.77 | 0.77 | 0.77 | 10 | 9.52 | 9.52 | 9.52 | 5.02 | 3.52 | 11 | 1.03 | 1.03 | 1.03 | 1.03 | 1.03 | 12 | 9.52 | 9.52 | 9.52 | 5.02 | 3.52 | 13 | 1.03 | 1.03 | 1.03 | 1.03 | 1.03 | 14 | 144.52 | 96.52 | 0.52 | 0.52 | 0.52 | 15 | 0.57 | 0.57 | 0.57 | 0.57 | 0.57 | 16 | 0.06 | 0.06 | 48.06 | 9.99 | 4.94 | 17 | 64.02 | 64.02 | 32.01 | 0.01 | 0.01 | 18 | 0.01 | 0.01 | 0.01 | 9.15 | 4.93 | 19 | 15.63 | 15.63 | 15.63 | 7.82 | 3.91 | 20 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 |
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