The 1st Workshop on Parallel and Distributed Machine Learning 2019 (PDML19)

Topics of Interest

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:

    • Algorithmic techniques to improve performance and efficiency of parallel applications of machine learning
    • ML-based techniques to improve system and application efficiency of HPC environments
    • Development of algorithms, models and solvers for parallel and distributed applications using machine/deep learning
    • All aspects of parallel processing hardware including the optimization and evaluation of processors and networks for machine/deep learning
    • Techniques for performance measurement, performance modeling and performance tools in machine/deep learning
    • Techniques to support parallel programming, system software, runtime system and other low-level software research and development for machine/deep learning

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.

Important dates

    • Paper Submission: May 13th, 2019 (AoE) => [Extended] May 23rd, 2019 (AoE)
    • Author Notification: May 31st, 2019
    • Camera-Ready Copy: June 6th, 2019
    • Workshop Date: August 5th, 2019

Submission Instructions

We encourage the submission of both full and short papers containing high-quality research describing original and unpublished work.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