Research Article
Pipelined Training with Stale Weights in Deep Convolutional Neural Networks
Table 5
Inference accuracy and speedup of actual pipelined/hybrid training for CIFAR-10.
| ResNet | PPV | Accuracy | Time (seconds) | Speedup | Nonpipelined (%) | Pipelined (%) | Hybrid (%) | Nonpipelined | Pipelined | Hybrid | Pipelined | Hybrid |
| -56 | (19) | 92.63 | 92.89 | 92.75 | 6,745 | 4,090 | 5,429 | 1.65X | 1.24X | -110 | (37) | 93.59 | 92.88 | 93.55 | 13,150 | 7,570 | 10,452 | 1.73X | 1.26X | -224 | (75) | 92.77 | 91.39 | 93.33 | 27,231 | 14,998 | 21,245 | 1.81X | 1.28X | -362 | (121) | 93.46 | 90.53 | 93.98 | 44,814 | 24,640 | 34,814 | 1.82X | 1.29X |
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