checkpointing; data analysis; iterative methods; learning (artificial intelligence); parallel processing; software fault tolerance; HPC system; NUMARCK; Northwestern University machine learning algorithm for resiliency and check pointing; data analysis; fault tolerance technique; high performance computing; simulation iteration; Approximation algorithms; Approximation methods; Checkpointing; Computational modeling; Data models; Error analysis; Machine learning algorithms;
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机译:使用机器学习算法预测路基弹性模量