We welcome all audience who are interested in ML and HPC. Especially, we target researchers and practitioners that are actively working on applying parallel and distributed computing to machine learning. Specifically, the topics will include but not limited to:
We also encourage submissions in emerging fields that may not fit into these categories to have more diversity of the topics. If authors are in doubt, we willing to have any questions from the authors.
We encourage the submission of both full and short papers containing high-quality research describing original and unpublished work. Short papers are intended to describe preliminary or highly speculative work as well as can be used to contribute position papers. Submissions should be in PDF format in U.S. letter size paper, and should be formatted in a double-column format with a font size 10 pt or larger. Full papers are a maximum of eight (8) and short papers are a maximum of four (4) double-column pages in ACM conference format. Page limits include all figures, tables and appendices; only references do not count against the page limit. Submissions will be judged based on relevance, significance, originality, correctness and clarification. All accepted papers are planned to be published by ACM, and included in ACM digital library if presented at the conference.ty.
The paper submission online system is open: https://easychair.org/conferences/?conf=pdml19