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Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation
EuroSys '24: Proceedings of the Nineteenth European Conference on Computer SystemsPages 163–181https://doi.org/10.1145/3627703.3629554Many parallel mechanisms, including data parallelism, tensor parallelism, and pipeline parallelism, have been proposed and combined together to support training increasingly large deep neural networks (DNN) on massive GPU devices. Given a DNN model and ...
