Non-Clairvoyant Scheduling of Distributed Machine Learning With Inter-Job and Intra-Job Parallelism on Heterogeneous GPUs
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DOI: 10.1109/tcc.2024.3414440
Abstract: Distributed machine learning (DML) has shown great promise in accelerating model training on multiple GPUs. To increase GPU utilization, a common practice is to let multiple learning jobs share GPU clusters, where the most fundamental… read more here.
Keywords: parallelism; inter job; gpus; machine learning ... See more keywords