Designing and implementing a load aware scheduler for machine learning jobs
A machine learning job comprises a variety of resource-intensive tasks.The loads of executing such tasks are various and sensitive to scenario inputs, which brings up provisioning challenges in modern machinelearning workflows. This thesis probes into an industrial machine learning workflow to study...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-458985 |