Description: This series of seminars covers various aspects of the ARL DSRC Supercomputing Outpost, or SCOUT. The series begins with an introductory overview. Additional weekly seminars cover running TensorFlow and PyTorch in the context of PPC64le architecture, utilizing IBM’s Distributed Deep Learning (DDL) framework in conjunction with Horovod to speed up training, and building PPC64le containers with fakeroot. Other topics covered include optimizing deep learning models for deployment using TensorRT integrated with TensorFlow (TF-TRT).

Presenter(s): Dr. Mike Lasinski, Sheila McGee-Rosser, Frank Moore-Clingenpeel, Olena Tkachenko, Dr. Wes Brewer - GDIT / PET
Location: Webcast
Date & Time: April 22 - May 20, 2021, 2:00p - 3:00p & 2:00p - 3:30p ET

Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 20 May 2021.  Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.