HPML2019
High Performance Machine Learning Workshop 2019
Important Dates
About HPML2019
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. Held in conjunction with IEEE / ACM CCGRID 2019 https://hpml2019.github.io/
Topics
High performance computing, Artificial intelligence, computer software and applications, Machine learningCall for Papers
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.
A number of papers will be selected and authors invited to a special issue of the Journal Concurrency and Computation - Practice and Experience - Special Issue on Advances in Parallel and High Performance Computing for Artificial Intelligence Applications
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
- Parallel Causal Models
- Cloud-based ML/AI
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