High Performance Machine Learning Workshop - HPML 2018
https://hpml2018.github.io/

To be held in conjunction with the 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018)
September 24th, 2018 - Lyon, France

This workshop is intended to bring together the Machine Learning (ML), Artificial Intelligence (AI) and High Performance Computing (HPC) communities. In recent years, much progress has been made in Machine Learning and Artificial Intelligence in general. This progress required heavy use of high performance computers and accelerators. Moreover, ML and AI have become a “killer application” for HPC and, consequently, driven much research in this area. These facts point to an important cross-fertilization that this workshop intends to nourish

We invite authors to submit original work to HPML. Proceedings will be published in IEEE Xplore. Furthermore, a number of selected papers will be invited to a special issue of the Journal of Parallel and Distributed Computing (Elsevier - JPDC).

Topics of interest include, but are not limited to:
- Machine learning (including deep learning) models
- Large scale machine learning applications
- Big Data models
- Statistical models
- Large scale data analytics
- Machine learning applied to HPC
- Accelerated Machine Learning
- HPC applied to Machine Learning
- Benchmarking, performance measurements, and analysis of ML models
- Hardware acceleration for ML and AI
- Parallel ML and AI models
- HPC infrastructure and resource management for ML

Submissions must be in English, limited to 8 pages in the IEEE conference format – see: https://www.ieee.org/conferences/publishing/templates.html

All submissions should be made electronically through the Easychair website - https://easychair.org/conferences/?conf=hpml2018

Important dates:
- Submission deadline: July 09th, 2018
- Acceptance notifications: July 20th, 2018
- Camera-ready papers: July 27th, 2018
- Workshop: September 24th, 2018

Organizing Committee:
- Eduardo Rocha Rodrigues, IBM Research
- Jairo Panetta, Instituto Tecnologico de Aeronautica
- Bruno Raffin, INRIA
Program Committee:
- Aline Paes, UFF
- Dingwen (Devin) Tao, UCR, UA
- Edmilson Morais, IBM Research
- Emmanuel Jeannot, INRIA
- Fabio Cozman, USP
- Gina Maira Barbosa de Oliveira, UFU
- Guillaume Aupy, INRIA
- Mauricio Araya, Shell
- Olivier Beaumont, INRIA
- Olivier Coulaud, INRIA
- Pedro Mario Cruz, Nvidia