SC21 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

7th Workshop on Machine Learning in High Performance Environment


Workshop:7th Workshop on Machine Learning in High Performance Environment

Authors: SEUNG-HWAN Lim (Oak Ridge National Laboratory (ORNL)), Janis Keuper (Fraunhofer Institute for Industrial Mathematics), Michael Houston (NVIDIA Corporation), and Robert Patton (Oak Ridge National Laboratory (ORNL))


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 with using HPC for machine learning and to share the wide range of applications that would benefit from HPC-powered machine learning.


Website: https://ornl.github.io/MLHPC/index.html






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