Acceleration and Efficiency Warranty for Distributed Machine Learning Jobs over Data Center Network with Optical Circuit Switching

Based on a DCN with OCS, we propose a pattern-aware scheduling and fast convergence strategy for the distributed machine learning jobs. Experimental results show significant accelerations for completion time and convergence of the jobs.