Yuanzhi Guo, X. Xue, B. Guo, Daohang Dang, Yi Zhao, Rui Ding, Jiapeng Zhao, Hangang Zhang, Bin Chen, Chenhui Li, Shanguo Huang
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Experimental Assessments of a AWGR Based Optical Switching Network for Distributed Reinforcement Learning Training
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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