Timed dataflow: Reducing communication overhead for distributed machine learning systems
Many distributed machine learning (ML) systems exhibit high communication overhead when dealing with big data sets. Our investigations showed that popular distributed ML systems could spend about an order of magnitude more time on network communication than computation to train ML models containing...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4834 |
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Institution: | Singapore Management University |
Language: | English |