Large-scale distributed deep learning : a study of mechanisms and trade-offs with PyTorch

類似資料

• A study of checkpointing in large scale training of deep neural networks
  著者:: Rojas, Elvis
  出版事項: (2021)
• Understanding soft error sensitivity of deep learning models and frameworks through checkpoint alteration
  著者:: Rojas, Elvis
  出版事項: (2021)
• Early experiences of noise-sensitivity performance analysis of a distributed deep learning framework
  著者:: Rojas, Elvis
  出版事項: (2022)
• Exploring the effects of silent data corruption in distributed deep learning training
  著者:: Rojas, Elvis
  出版事項: (2022)
• Evaluating resilience of deep learning models
  著者:: Rojas, Elvis
  出版事項: (2020)