Introduction: Machine Learning in HPC Environments

Workshop:Machine Learning in HPC Environments

Authors: Seung-Hwan Lim (Oak Ridge National Laboratory (ORNL)), Xipeng Shen (North Carolina State University), Janis Keuper (Fraunhofer Institute for Industrial Mathematics), and Michael Houston (Nvidia Corporation)

Abstract: The intent of this workshop is to bring together researchers, practitioners and scientific communities to discuss methods that utilize extreme scale systems for machine learning. This workshop will focus on the greatest challenges in utilizing HPC for machine learning and methods for exploiting data parallelism, model parallelism, ensembles and parameter search. We invite researchers and practitioners to participate in this workshop to discuss the challenges in using HPC for machine learning and to share the wide range of applications that would benefit from HPC-powered machine learning.

Website: http://ornlcda.github.io/MLHPC2020

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