Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications.
2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)(2023)
摘要
Modern High Performance Computing (HPC) workloads prioritize data, challenging storage systems to meet rising I/O demands. The network's role in inter-node communication and data transfer significantly impacts overall application performance. Our study systematically examines bandwidth and latency variations in CephFS due to diverse I/O patterns. We formalize latency, bandwidth, I/O size, and block-to-file size ratio relationships and train a model for predicting bandwidth and estimating latency in similar I/O workloads, offering valuable insights into optimizing HPC storage.
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关键词
System-Ievel Parameters,I/O Performance,Access Patterns,Prediction,HPC,Bandwidth,Latency
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