The root-mean-square of the error in EKE (as compared to an eddy-resolving simulation) is 20% lower when using the ML-prediction than the previous state of the art. The inferences are used to predict the oceanic eddy kinetic energy (EKE), which is a variable that is used to tune different turbulence closures in the model and thus directly affects the simulation. In total, 970 billion inferences are collectively served by running the ensemble for a total of 120 simulated years. We demonstrate the capability of SmartSim by using it to run a 12-member ensemble of global-scale, high-resolution ocean simulations, each spanning 19 compute nodes, all communicating with the same ML architecture at each simulation timestep. Select the sub-folder smartsim and copy it (using Ctrl-C). Concepts are introduced as the simulation progresses. Open up smartsim.zip just like you would as if it was a normal folder by double clicking on it. In this paper, we detail the SmartSim architecture and provide benchmarks including online inference with a shared ML model, EKE-ResNet, on heterogeneous HPC systems. Music2Go Marketing provides a platform for instructors to explain and illustrate the core marketing terms and concepts. Logic circuits are the building blocks of computers. SmartSim is a library dedicated to enabling online analysis and Machine Learning (ML) for high performance, numerical simulations. Learn how SmartSim can be used to do hands-on experimentation with and, or, and other logic components.
As the simulation progresses, new decision areas will be made available to you: Year 1: Sales and Marketing only. In Music2Go you have the opportunity to formulate and implement a marketing strategy using an annual marketing budget. We demonstrate the first climate-scale, numerical ocean simulations improved through distributed, online inference of Deep Neural Networks (DNN) using SmartSim. Music2Go Marketing is our Principles of Marketing Simulation.
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