Description

The workshop will be held in conjunction with SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Dallas, TX on November 11 - 16. 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.

Call for paper

Important Dates

Draft paper submission deadline:2018-09-01

Author guidelines

August 17, 2018September 1, 2018
Submission of workshop papers

   September 14, 2018
Notification of paper acceptance

   September 28, 2018
Camera-ready submission of accepted papers

   November 11-12, 2018
Workshop

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Contact information

  • Steven R. Young
  • youngsr@ornl.gov

Sponsored By

  • Oak Ridge National Laboratory

Supported By

  • Association for Computing Machinery - ACM
    IEEE Computer Society