JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications

An argument in favor of strong scaling for deep neural networks with small datasets

In this post, I'm writing about my most recent paper, which is joint work with Eduardo R. Rodrigues, Matheus Palhares Viana, and Dario Augusto Borges Oliveira. If you prefer videos, there's a pretty comprehensive version below. You can read the full paper on the arXiv. Apart from all the hype that is certainly involved in Machine Learning, Deep Learning, and Artificial Intelligence these days, there is a lot of very good research being done.

Job placement advisor based on turnaround predictions for HPC hybrid clouds