[hpc-announce] JPDC Special Issue on Advances on Parallel and High Performance Computing for AI Applications

[Marcos Dias de Assuncao]

JPDC Special Issue on Advances on Parallel and High Performance
Computing for AI Applications

Artificial Intelligence (AI) and Machine Learning (ML) have grown
substantially in popularity in recent years. Much research has been
done in both academia and industry, with applications in many areas.
For example, deep learning has achieved superhuman performance in
image classification. AI/ML have been used to play games such as
Chess, Go, Atari and Jeopardy very successfully. In addition, many
companies have being using AI and ML in areas such as health care,
natural resource management and advertisement.

Most of the AI/ML technologies and applications require heavy use of
high performance computers and accelerators. Consequently, High
Performance Computing (HPC) is a key component of these systems.
Clusters of computers and accelerators (e.g. GPUs) are routinely used
to train and run models, both in research and production. On the other
hand, ML and AI have also become a "killer application" for HPC and,
consequently, have driven much of research in this area. For example,
tailored computer architecture has been devised and new parallel
programming frameworks developed to accelerate AI/ML models. The
objective of this special issue is to bring together the HPC and AI/ML
communities to present their applications and solutions to performance
issues, and also to present how AI/ML can be used to solve HPC
problems.

This is an open call for contributions. Authors are invited to submit
papers to this special issue on themes related to the interplay of HPC
and AI/ML. 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
- Novel HPC architecture for AI/ML

Research articles must not have been published or submitted for
publication elsewhere. All articles will be peer reviewed and accepted
based on quality, originality, novelty, and relevance to the special
issue.

Please select article type name of "VSI: Advances in HPC for AI"
during submission process at http://evise.com/evise/jrnl/jpdc

Submission deadline of Nov 30, 2018.

Guest Editors:

Marcos Dias de Assuncao
Inria, LIP, ENS Lyon
assuncao at acm.org

Eduardo Rocha Rodrigues
IBM Research
edrodri at br.ibm.com

Bruno Raffin
Inria
bruno.raffin at inria.fr