Now showing items 1-2 of 2

    • Evaluating resilience of deep learning models 

      Rojas, Elvis; Nicolae, Bogdan; Meneses, Esteban (Instituto Tecnológico de Costa Rica, 2020)
      Deep learning applications have become a valuable tool to solve complex problems in many critical areas. It is important to provide reliability on the outputs of those applications, even if failures occur during execution. ...
    • Understanding soft error sensitivity of deep learning models and frameworks through checkpoint alteration 

      Rojas, Elvis; Pérez, Diego; Calhoun, Jon; Bautista-Gomez, Leonardo; Jones, Terry; Meneses, Esteban (Institute of Electrical and Electronics Engineers (IEEE), 2021-10-13)
      The convergence of artificial intelligence, highperformance computing (HPC), and data science brings unique opportunities for marked advance discoveries and that leverage synergies across scientific domains. Recently, deep ...