Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning

Tanzila Tabassum, Omer Subasi, Ajay Panyala +5

In this work, we develop two main Machine Learning based approaches to predict the runtime parameters of highly scalable parallel chemistry computations.These approaches employ act…