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Call for Papers: HPML2020 High Performance Machine Learning Workshop

The third High Performance Machine Learning Workshop has issued its Call for Papers. HPML2020 takes place May 11, 2020 in Melbourne, Australia in conjunction with 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 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 are due February 4th, 2020.

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