In this paper, we have proposed a Bayesian optimization based novel approach for multi-objective task scheduling in real-time heterogeneous multiprocessor systems. Task scheduling problem in ...

This work presents a multi-objective Bayesian (MOB) optimization technique for co-optimizing device parameters and digital standard cell libraries (SDC) to deeply explore the technology design space.

The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from simulated geometries to predict the best possible geometries for enhancing ...

Christopher C. Drovandi, James M. McGree, Anthony N. Pettitt, A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design, Journal of Computational and Graphical ...