Abstract: With complex ML models, besides the architecture, there is a strong need for efficient resource management and effective load distribution. Static load balance which was used in the past ...
QCMP is a Reinforcement Learning based load balancing solution implemented within the data plane, providing dynamic policy adjustment with quick response to changes in traffic. This repo is the ...
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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