Research map / Architectures and efficiency / RNNs and normalization
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| layer-wise parallelism (per-layer parallelization configs) instead of single strategy | CNN training on multiple GPUs · AlexNet, VGG-16, Inception-v3 on ImageNet, 1-16 GPUs | training throughput: up to 2.2x, 1.5x, 1.4x | Helped |
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