Comparing a gang-like scheduler with the default Kubernetes scheduler in a multi-tenant serverless distributed deep learning training environment
Systems for running distributed deep learning training on the cloud have recently been developed. An important component of a distributed deep learning job handler is its resource allocation scheduler. This scheduler allocates computing resources to parts of a distributed training architecture. In t...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-189688 |