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Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in NonDedicated Environments

机译：基于多维表面学习的非专用环境并行应用性能预测性能建模

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Jay Yagnik; H. A. Sanjay; Sathish Vadhiyar;
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年度 2006
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1. Multidimensional Approach Based on Deep Learning to Improve the Prediction Performance of DNN Models [J] . Mohamed El Fouki, Noura Aknin, Kamal Eddine El Kadiri International Journal of Emerging Technologies in Learning (iJET) . 2019,第2期

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2. Performance prediction of parallel computing models to analyze cloud-based big data applications [J] . Chao Shen, Weiqin Tong, Kim-Kwang Raymond Choo, Cluster computing . 2018,第2期

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3. Performance prediction of parallel computing models to analyze cloud-based big data applications [J] . Chao Shen, Weiqin Tong, Kim-Kwang Raymond Choo, Cluster computing . 2018,第2期

机译：并行计算模型的性能预测分析基于云的大数据应用
4. Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedicated Environments [C] . Jay Yagnik, H.A. Sanjay, Sathish Vadhiyar . 2006

机译：基于多维表面学习的性能建模用于非专用环境中并行应用程序的性能预测
5. Model based tampering for improved process performance application to surface grinding of shafts. [D] . Palanna, Rajkumar. 2002

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6. Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning [O] . Nam gyu Kang, Young Joo Suh, Kyunghwa Han, 2021

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7. Multidimensional Approach Based on Deep Learning to Improve the Prediction Performance of DNN Models [O] . Mohamed El Fouki, Noura Aknin, Kamal Eddine El Kadiri 2019

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8. Machine Learning Based Online Performance Prediction for Runtime Parallelization and Task Scheduling. [R] . B. R. De Supinski J. Li K. Singh M. Schulz X. Ma 2008

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Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in NonDedicated Environments

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