[hpc-announce] Call for papers - 3rd High Performance Machine Learning Workshop (HPML 2020)

[Congiu, Giuseppe]

CALL FOR PAPERS
[We apologize if you receive multiple copies of this CFP]

3rd High Performance Machine Learning Workshop - HPML 2020
https://hpml2020.github.io/

With the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing - CCGrid 2020
http://cloudbus.org/ccgrid2020/
May 11th, 2020 - Melbourne - Australia

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.

Topics of interest include, but are not limited to:
- Distributed and parallel Machine Learning (including deep learning) models
- Large scale Machine Learning applications
- Parallel 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
- HPC infrastructure and resource management for ML
- Parallel Causal Models
- Cloud-based ML/AI

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=hpml2020

Important dates:
- Submission deadline: February 4th, 2020
- Acceptance notifications: March 3rd, 2020
- Workshop: May 11th, 2020

Organizing Committee:
- Eduardo Rocha Rodrigues, IBM Research ( edrodri at br.ibm.com )
- 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:
- Behzad Salami - Barcelona SuperComputing Center, Spain
- Brian Van Essen, Lawrence Livermore National Laboratory, USA
- Daniela Ushizima, Lawrence Berkeley National Laboratory, USA
- Dingwen Tao, University of Alabama, USA
- Gabriel Perdue, Fermilab, USA
- Holger Fröning, University of Heidelberg, Germany
- Janis Keuper, Fraunhofer Institute for Industrial Mathematics ITWM, Germany
- Konstantinos Parasyris - Barcelona SuperComputing Center, Spain
- Lucas Mello Schnorr, Universidade Federal do Rio Grande do Sul, UFRGS, Brazil
- Olivier Beaumont, INRIA, France
- Rick L. Stevens, Argonne National Laboratory, USA

Previous editions:
 - https://hpml2019.github.io/#program
 - https://hpml2018.github.io/#program

Giuseppe Congiu
Postdoctoral Appointee
MCS Division
Argonne National Laboratory
9700 South Cass Ave., Lemont, IL 60439