Abstract—We present Automatic Reconfigurable Design Ef- ficient Global Optimization (ARDEGO), a new algorithm

based on the existing Efficient Global Optimization (EGO) methodology for automating optimization of reconfigurable designs targeting Field-Programmable Gate Array (FPGA) technology. It is a potentially disruptive design approach: instead of manually improving designs repeatedly but without understanding the design space as a whole, ARDEGO users follow a novel approach that: (a) automates the manual optimization process, significantly reducing optimization time and (b) does not require the user to calibrate or understand the inner workings of the algorithm. We evaluate ARDEGO using two case studies: financial option pricing and seismic imaging. Field-Programmable Gate Arrays (FPGAs), and other reconfigurable computing devices, can provide high com-putational performance but their productive adoption has been hampered due to the long hardware design cycle