Early bird sampling: A short-paths free error detection-correction strategy for data-driven VOS

摘要

Razor is a milestone in the field of Error Detection&Correction strategies for low-power operation. Despite the impressive level of maturity, its application on circuits other than pipelined processors still remains an open issue. Firstly, the error detection mechanism relies on special flip-flops (FFs), the Razor-FFs, whose use imposes heavy hold-time fixing and large circuit area/power overheads; secondly, the error correction is performed through instruction replay, a practice that is not available (or very expensive to implement) in generic circuits. This work introduces Early Bird Sampling (EBS), a Razor variant that applies to low-power sequential circuits. The EBS allows to (i) solve the problem of short-path races bypassing tedious holdtime fixing design stages, (ii) reduce design overhead exploiting a local logic-masking mechanism for error correction. As a key feature, EBS enables Data-Driven Voltage Over-Scaling (DD-VOS), an aggressive dynamic voltage scaling strategy particularly suited for ultra-low power error-resilient applications. Simulation runs on a representative set of circuits provide a fair comparison with a standard Razor strategy. The collected results show EBS reduces area overheads (3.6% against 71.6% for Razor) and improves the voltage scaling profile achieving lower energy-per-operation (savings w.r.t. Razor range from 19.1% to 53.1%).