Exploiting the Potential of Approximate Arithmetic in DSP & AI Hardware Accelerators

Approximate computing is an emerging design paradigm, which exploits the inherent error resilience of numerous applications to improve their energy efficiency and/or performance. The current paper focuses on applications from the DSP and AI domains, and examines the impact of arithmetic approximations on accelerators for FPGA and ASIC technologies. Based on our design methodology, we implement and...