Building Reliable Arithmetic Multipliers Under NBTI Aging and Process Variations
Hardware aging poses a significant challenge for integrated circuits (ICs), leading to performance degradation and eventual failure. In this work, we focus on the aging of arithmetic multipliers, which are a cornerstone of modern computing systems including in CPUs, GPUs, and FPGAs, as well as AI accelerators like systolic arrays. In particular, AI workloads, which rely predominantly on multiplications, can accelerate Negative Bias Temperature Instability (NBTI) effects in multipliers. This paper presents a novel aging mitigation technique that leverages the signinvariance property of multiplication. By selectively applying 2s complement transformations to inputs, the method redistributes...
| Authors | Masoud Heidary, Biresh Kumar Joardar |
|---|---|
| Primary category | cs.AR |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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