A variation-aware design methodology for distributed arithmetic

Abstract

Distributed arithmetic (DA) brings area and power benefits to digital designs relevant to the Internet-of-Things. Therefore, new error resilient techniques for DA computation are urgently required to improve robustness against the process, voltage, and temperature (PVT) variations. This paper proposes a new in-situ timing error prevention technique to mitigate the impact of variations in DA circuits by providing a guardband for significant (most significant bit) computations. This guardband is initially achieved by modifying the sign extension block and carefully gate-sizing. Therefore, least significant bit (LSB) computation can correspond to the critical path, and timing error can be tolerated at the cost of acceptable accuracy loss. Our approach is demonstrated on a 16-tap finite impulse respons (FIR) filter using the 65 nm CMOS process and the simulation results show that this design can still maintain high-accuracy performance without worst case timing margin, and achieve up to 32% power savings by voltage scaling when the worst case margin is considered with only 9% area overhead.

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