Interpreting Write Performance of Supercomputer I/O Systems with Regression Models

2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)(2021)

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摘要
This work seeks to advance the state of the art in HPC I/O performance analysis and interpretation. In particular, we demonstrate effective techniques to: (1) model output performance in the presence of I/O interference from production loads; (2) build features from write patterns and key parameters of the system architecture and configurations; (3) employ suitable machine learning algorithms to i...
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关键词
Training,Adaptation models,Machine learning algorithms,Computational modeling,Systems architecture,Production,Predictive models
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