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LOCATION:207
DTSTART;TZID=America/Denver:20231112T083000
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UID:submissions.supercomputing.org_SC23_sess219@linklings.com
SUMMARY:Principles and Practice of High Performance Deep/Machine Learning 
 Training and Inference
DESCRIPTION:Principles and Practice of High Performance Deep/Machine Learn
 ing Training and Inference\n\nRecent advances in Machine and Deep Learning
  (ML/DL) have led to many exciting challenges and opportunities.  Modern M
 L/DL frameworks including TensorFlow, PyTorch, and cuML enable high-perfor
 mance training, inference, and deployment for various types of ML models a
 nd Deep Neural Networks (DNNs).  T...\n\n\nDhabaleswar K. (DK) Panda, Hari
  Subramoni, Aamir Shafi, Nawras Alnaasan, Chen Chun Chen, Jinghan Yao, and
  Kaushik Kandadi Suresh (Ohio State University)\n\nTag: Artificial Intelli
 gence/Machine Learning\n\nRegistration Category: Tutorial Reg Pass
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