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Introduction

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.

HPML is held in conjunction with the 30th edition of SBAC-PAD. SBAC-PAD is an international conference on High Performance Computing started in 1987 in which scientists and researchers present recent findings in the fields of parallel processing, distributed computing and computer architecture.

Committee
  • Eduardo Rocha Rodrigues, IBM Research
  • Jairo Panetta, Instituto Tecnologico de Aeronautica
  • Bruno Raffin, INRIA

Program Committee

  • Aline Paes, UFF
  • 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
Call for paper

Important date

2018-06-18
Abstract submission deadline
2018-06-25
Draft paper submission deadline
2018-07-13
Draft paper acceptance notification

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

Guidlines

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 (JPDC) - Elsevier.

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

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Important Date
  • Conference Date

    Sep 24

    2018

    to

    Sep 27

    2018

  • Jun 18 2018

    Abstract Submission Deadline

  • Jun 25 2018

    Draft paper submission deadline

  • Jul 13 2018

    Draft Paper Acceptance Notification

  • Sep 27 2018

    Registration deadline

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