Predicting cloud performance for HPC applications before deployment

We apply the prediction models to Fortran-MPI benchmarks. The resulting relative error is below 12% for CP and 30% for PP. The optimal Pareto front of cloud configurations finally found when maximizing performance and minimizing execution cost on the prediction models is at most 25% away from the actual optimal solutions.