Abstract: Cloud computing is expanding faster than anticipated; hence, load balancing must be done effectively. Conventional methods like Round Robin and static prioritization tend to struggle under ...
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.
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