Highlights Keywords Environment, Uncertainty quantification, Hardware-aware computing Technologies used GPU, Bayesian Inference, Earthquake Simulation Challenge Bayesian inference delivers insights of great value to scientists, combining data and mathematical models to infer and understand otherwise inaccessible real-world properties. Computing the Bayesian posterior, i.e. the distribution of likely underlying parameters given observations, comes at great computational cost and corresponding environmental impact. To ensure accurate results, the uncertainty quantification algorithm requires many simulation runs. Each of these “forward” … Continue reading Success Story: ScalaMIDA