Experimental Assessments of a AWGR Based Optical Switching Network for Distributed Reinforcement Learning Training
2022 20th International Conference on Optical Communications and Networks (ICOCN)(2022)
摘要
An arrayed waveguide grating router based all-optical switching network is proposed to accelerate the communication phase of distributed reinforcement learning training. Experimental investigations validate 465ns worker-to-server latency with error-free communication at 0.9 traffic load.
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关键词
All Optical Switching,Distributed Machine Learning Training,Parameter Server
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