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High Performance Machine Learning Workshop - HPML 2018
Segunda-feira, 18 Junho 2018




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

 - 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:


All submissions should be made electronically through the Easychair website -


Important dates:

 - Abstract deadline: June 18th, 2018

 - Submission deadline: June 25th, 2018

 - Workshop paper reviews due: July 9th, 2018

 - Acceptance notifications: July 13th, 2018

 - Camera-ready papers: July 18th, 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

 - Edmilson Morais, IBM

 - 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