Article 3WBGB Machine Learning with Python: Distributed Training and Data Resources on Blue Waters

Machine Learning with Python: Distributed Training and Data Resources on Blue Waters

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#3WBGB)
AaronSaxton-112x150.jpg

Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. "Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This tutorial will go over the minimum ingredients needed to do distributed training on Blue Waters with these packages. What's more, we also maintain an ImageNet data set to help researchers get started training CNN models. I will review the process by which a user can get access to this data set."

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