On-chip Electromigration Sensor for Silicon Lifecycle Management of Nanoscale VLSI

M. Mayahinia, M. Tahoori, Grigor Tshagharyan, Gurgen Harutunyan, Y. Zorian
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Abstract

The advanced CMOS technology with smaller feature sizes has greatly improved the performance, energy, and area efficiency of the VLSI systems. Alongside the transistor feature size, back-end-of-the-line (BEoL) interconnects are also shrinking which makes them susceptible to electromigration (EM). Current density and temperature have decisive impacts on the EM profile of the BEoL interconnects, which themselves are highly affected by the running workload. Hence, the actual degradation and the remaining lifetime of a VLSI system are impacted by its usage scenarios. Therefore, in-field monitoring of the chip usage can predict failures before they happen and cause catastrophic failures, and in addition, provide an accurate estimate of the remaining useful lifetime to schedule preventive maintenance. In this work, we propose a simple yet effective on-chip EM sensor that can be embedded as a part of chip silicon lifecycle management (SLM) infrastructure. Further, we show how our proposed EM sensor can be effectively leveraged as a general sensor for the estimation of the remaining useful lifetime of the chip. The simulation results for the 5nm realistic SRAM design show that the power overhead of the proposed sensor is only 0.00365% of the SRAM module with a negligible area overhead.
用于纳米级超大规模集成电路硅生命周期管理的片上电迁移传感器
先进的CMOS技术具有更小的特征尺寸,极大地提高了VLSI系统的性能、能量和面积效率。除了晶体管的特征尺寸,线后端(BEoL)互连也在缩小,这使得它们容易受到电迁移(EM)的影响。电流密度和温度对BEoL互连的电磁分布有决定性的影响,而电流密度和温度本身受工作负载的影响很大。因此,VLSI系统的实际退化和剩余寿命受到其使用场景的影响。因此,对芯片使用情况的现场监测可以在故障发生和导致灾难性故障之前预测故障,此外,还可以提供对剩余使用寿命的准确估计,以便安排预防性维护。在这项工作中,我们提出了一种简单而有效的片上电磁传感器,可以作为芯片硅生命周期管理(SLM)基础设施的一部分嵌入。此外,我们展示了如何有效地利用我们提出的电磁传感器作为通用传感器来估计芯片的剩余使用寿命。5nm真实SRAM设计的仿真结果表明,该传感器的功耗开销仅为SRAM模块的0.00365%,面积开销可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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