# HPML — High Performance Machine Learning Workshop

- **Submission deadline**: 2020-02-18
- **Notification date**: 2020-03-03
- **Conference date**: 2020-11-02
- **Location**: Melbourne, Australia
- **Conference Partner Index**: 39.5/100 (ranked #5167, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/3170

## Call for papers

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

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Source: Conference Partner — https://www.myhuiban.com/conference/3170 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)