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Published in Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing • Jun 23, 2022
NobleIDNI8P17W22R54S79
Authors:,,
Fahao Chen
Peng Li
Celimuge Wu
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 and critical challenge is how to efficiently schedule these jobs ...
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