Survey maps high-level synthesis for approximate computing around error estimation, approximation techniques, and design space exploration, and flags research gaps
Addressing the lack of a systematic survey and in-depth analysis of the latest methodologies in high-level synthesis for approximate computing (AHLS), this survey summarizes recent technologies in the field with particular focus on error estimation, approximation techniques, and design space exploration (DSE), and analyzes current research gaps, aiming to give researchers, engineers, and scholars a theoretical and practical framework for AHLS.