Automating Optimization of Reconfigurable Designs

Abstract

We present Automatic Reconfigurable Design Efficient 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.