Profs. Andreas Gerstlauer and Michael Orshansky Awarded NSF Grant on Low-Power Design of Signal Processing Circuits
Improving energy efficiency is one of the major design challenges in computing, especially in battery-operated and autonomous embedded and mobile systems. In many systems, a large amount of computation is devoted to algorithms for audiovisual processing, recognition, and communication that heavily utilize digital signal processing (DSP) architectures. In a recently awarded NSF grant on the Formal Synthesis of Low-Energy Signal Processing Systems Relying on Controlled Timing-Error Acceptance, Profs.