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PipeDream: A more effective way to train deep neural networks using pipeline parallelism
| Amar Phanishayee
Deep Neural Networks (DNNs) have facilitated tremendous progress across a range of applications, including image classification, translation, language modeling, and video captioning. DNN training is extremely time-consuming, needing efficient multi-accelerator parallelization. In “PipeDream: Generalized Pipeline Parallelism for DNN Training,” published…