Common use-cases include data visualization in a 2D graph (if the data is reduced to just two columns instead of the six columns in the demo), use in machine learning algorithms (such as k-means ...

In this paper, we propose a thermal machine-learning (ML) solver to speed-up thermal simulations of chips. The thermal ML-Solver is an extension of the recent novel approach, CoAEMLSim (Composable ...