LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation

22 Jun 2020Wentao ZhuCan ZhaoWenqi LiHolger RothZiyue XuDaguang Xu

Deep Learning (DL) models are becoming larger, because the increase in model size might offer significant accuracy gain. To enable the training of large deep networks, data parallelism and model parallelism are two well-known approaches for parallel training... (read more)

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