The workshop will be held in conjunction with SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Atalanta, GA on November 15 - 20. 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
Topics will include but will not be limited to:
Machine learning models, including deep learning, for extreme scale systems
Enhancing applicability of machine learning in HPC (e.g. feature engineering, usability)
Learning large models/optimizing hyper parameters (e.g. deep learning, representation learning)
Facilitating very large ensembles in extreme scale systems
Training machine learning models on large datasets and scientific data
Overcoming the problems inherent to large datasets (e.g. noisy labels, missing data, scalable ingest)
Applications of machine learning utilizing HPC
Future research challenges for machine learning at large scale.