Research Article
Pipelined Training with Stale Weights in Deep Convolutional Neural Networks
Table 6
Inference accuracy and speedup of actual pipelined/hybrid training for CIFAR-100.
| ResNet | PPV | Accuracy | Time (seconds) | Speedup | Nonpipelined (%) | Pipelined (%) | Hybrid (%) | Nonpipelined | Pipelined | Hybrid | Pipelined | Hybrid |
| -56 | (19) | 72.30 | 70.25 | 72.34 | 10,068 | 6,040 | 8,113 | 1.67X | 1.24X | -110 | (37) | 72.63 | 71.52 | 73.03 | 19,624 | 11,162 | 15,591 | 1.76X | 1.26X | -224 | (75) | 73.00 | 70.90 | 72.69 | 40,807 | 22,561 | 32,132 | 1.81X | 1.28X | -362 | (121) | 71.77 | 71.03 | 72.09 | 66,977 | 37,008 | 51,688 | 1.81X | 1.29X |
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