Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.
Abstract: Variant calling, which identifies genomic differences relative to a reference genome, is critical for understanding disease mechanisms, identifying therapeutic targets, and advancing ...
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