Distributed Deep Learning

HAL: Computer System for Scalable Deep Learning

V. Kindratenko, D. Mu, Y. Zhan, J. Maloney, S. Hashemi, B. Rabe, K. Xu, R. Campbell, J. Peng, and W. Gropp. 

• Accepted to Practice and Experience in Advanced Research Computing 2020 (PEARC 2020)

• NCSA Center for Artificial Intelligence Innovation (CAII)

• NCSA HAL cluster homepage

• Tutorial on distribution training

My Contributions

• Distributed training on HAL with PyTorch and NVIDIA Apex

• ImageNet benchmark experiments for performance analysis

• Member of the NCSA HAL cluster admin team, now called NCSA CAII

• NCSA HAL cluster tutorial series on distributed deep learning