A Survey: Lossless Model Accuracy Data Partitioning and Training Parallelism Strategies for Distributed Machine Learning
In the digital era of big data and large-scale models, conventional stand-alone computing power and storage approach fails to meet the demands of large-scale machine learning models, therefore, distributed data parallelism has been the key supporting techn ology for breaking hardware bottleneck. However, current distri...