3rd High Performance Machine Learning Workshop
May 11th, 2020 November 2nd, 2020, Melbourne - Australia.
Held in conjunction with IEEE / ACM CCGRID 2020
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 researchers and professionals to take part in this workshop to discuss the challenges of Machine Learning, AI and HPC, and share their insights, use cases, tools and best practices.
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
We invite authors to submit original work to HPML. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore.
Submissions must be in English, limited to 8 pages (including figures, tables and references) 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 ).
At least one author who has a paper accepted must register for the conference - IEEE / ACM CCGRID 2020 - and attend the workshop to present their paper. Authors who do not register and present their paper, or arrange for a knowledgeable colleague to present it, will not have their paper published.
- Eduardo Rocha Rodrigues, IBM Research - edrodri (at) br (dot) ibm (dot) com
- Jairo Panetta, Instituto Tecnologico de Aeronautica, ITA, Brazil
- Bruno Raffin, INRIA, France
- Abhishek Gupta, Schlumberger, USA
- Leonardo Bautista Gomez, Barcelona Supercomputing Center, Spain
- Marco Netto, IBM Research, Brazil
- 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
- In Kee Kim, University of Georgia, USA
- 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
- Yu Kong, Rochester Institute of Technology, USA
4th of February, 2020 18th of February, 2020
Acceptance notifications: 3rd of March, 2020
Camera-ready papers: 10th of March, 2020
11th of May, 2020 2nd of November, 2020