As machine learning models and the data they work on grow, utilizing HPC offers exciting opportunities.
The workshop will be held in conjunction with SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Denver, CO on November 12 - 17.
Our keynote speakers will highlight significant research and challenges in machine learning and HPC.
This workshop will feature presentations on accepted papers along with keynote speakers.
The workshop will be held in conjunction with SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Denver, CO on November 12 - 17. 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.
Mark your calendars for these dates!
Updated August 7, 2017. There will be no further extension.
August 17, 2017September 1, 2017
Submission of workshop papers
September 23, 2017
Notification of paper acceptance
September 30, 2017
Camera-ready submission of accepted papers
November 13, 2017
Workshop