High performance parametric design optimization of RF devices

We present an integrated environment for large scale multi-parameter design optimization of RF devices based on AFRL's Galaxy Simulation Builder productivity tool for distributed high-performance computing, Sandia National Lab's DAKOTA optimization library, and a suite of highly efficient GPU-based Electromagnetic codes developed at NRL in collaboration with Leidos, Inc. The environment allows for an end-to-end optimization cycle of an RF device to be set up, deployed, carried out, monitored and analyzed in a quick, user-friendly, robust, and flexible fashion using a diverse variety of high-end parallel computing resources.