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HPML 2019 : 2nd High Performance Machine Learning Workshop

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Link: https://hpml2019.github.io/
 
When May 14, 2019 - May 14, 2019
Where Cyprus
Abstract Registration Due Feb 16, 2019
Submission Deadline Feb 22, 2019
Notification Due Mar 15, 2019
Final Version Due Mar 29, 2019
Categories    high performance computing   machine learning   artificial intelligence   HPC
 

Call For Papers

Second High Performance Machine Learning Workshop - HPML 2019
https://hpml2019.github.io/

In conjunction with the 19th IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing - CCGrid 2019
May 14th, 2019 - Cyprus

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 as well. 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.

*A number of papers will be selected and authors invited to a special issue of the Journal Concurrency and Computation - Practice and Experience - Special Issue on Advances in Parallel and High Performance Computing for Artificial Intelligence Applications - http://www.cc-pe.net/journalinfo/issues/2019.html#HPML2019 *

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
- Parallel Causal Models

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=hpml2019

Important dates:
- Abstract deadline: February 16th, 2019
- Submission deadline: February 22nd, 2019
- Acceptance notifications: March 15th, 2019
- Camera-ready papers: March 29th, 2019
- Workshop: May 14th, 2019

Organizing Committee:
- Eduardo Rocha Rodrigues, IBM Research
- Jairo Panetta, Instituto Tecnologico de Aeronautica
- Bruno Raffin, INRIA
- Abhishek Gupta, Schlumberger USA
- Leonardo Bautista Gomez, Barcelona Supercomputing Center
- Marco Netto, IBM Research

Workshop Committee:
- Aleksandr Drozd, Tokyo Institute of Technology, Japan
- Aline Paes, Universidade Federal Fluminense, UFF, Brazil
- Brian Van Essen, Lawrence Livermore National Laboratory, USA
- Celso Mendes, Instituto Nacional de Pesquisas Espaciais, INPE, Brazil
- Daniela Ushizima, Lawrence Berkeley National Laboratory, USA
- Dario Garcia-Gasulla, Barcelona Supercomputing Center, Spain
- Dingwen Tao, University of Alabama, USA
- Emmanuel Jeannot, INRIA, France
- Fabio Cozman, Universidade de Sao Paulo, USP, Brazil
- Gabriel Perdue, Fermilab, USA
- Janis Keuper, Fraunhofer Institute for Industrial Mathematics ITWM, Germany
- Lucas Mello Schnorr, Universidade Federal do Rio Grande do Sul, UFRGS, Brazil
- Olivier Beaumont, INRIA, France
- Rick L. Stevens, Argonne National Laboratory, USA
- Steven R Young, Oak Ridge National Laboratory, USA

Last year HPML program: https://hpml2018.github.io/#program

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