Optimizing HPC I/O Performance with Regression Analysis and Ensemble Learning

Author:

Liu Zhangyu1,Zhang Cheng1,Wu Huijun2,Fang Jianbin2,Peng Lin2,Ye Guixin1,Tang Zhanyong1

Affiliation:

1. Northwest University,School of Information Science & Technology,Xi'an,China

2. National University of Defense Technology,College of Computer,Changsha,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference55 articles.

1. A framework for auto-tuning HDF5 applications

2. Taming parallel I/O complexity with auto-tuning

3. Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance

4. Improving parallel I/O autotuning with performance modeling

5. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures;bergstra;International Conference on Machine Learning,2013

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