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A New Sensitivity-Driven Process Variation Aware Self-Repairing Low-Power SRAM Design

机译:一种新的灵敏度驱动工艺变化感知自修复低功耗SRAM设计

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摘要

Variation in process parameters results in an appalling number of SRAM failures which jeopardize design yield. These variations are expected to get further aggravate with technology scaling. Adaptive Body Bias (ABB) and Dynamic Voltage Scaling (DVS) are the useful techniques to alleviate the impact of process variation. However, with continued technology scaling, the achievable performance by ABB or DVS alone is becoming limited. In this paper, we propose a process corner based sensitivity-driven approach for self-restoring SRAM design by amalgamating ABB with DVS. More importantly, we leverage the contradiction between read-write stabilities and uneven conduct of inter-die process variation to Noise Margins (NMs) as a blessing of low-power SRAM design. Simulation results based on PTM 32nm CMOS technology quantify the viability and effectiveness of the scheme. Proposed approach meliorate Static Noise Margin (SNM), Read Noise Margin (RNM) and Write Margin (WM) by 12.6%, 59.2%and 6.1%, respectively. In addition, leakage current is reduced by 57.1% and a power redeem of 67.9%, 13.1% and 5.2% is achieved in hold, read and write mode, respectively.
机译:工艺参数的变化会导致大量的SRAM故障,从而危及设计良率。这些变化预计将随着技术规模的扩大而进一步恶化。自适应人体偏置(ABB)和动态电压缩放(DVS)是缓解工艺变化影响的有用技术。但是,随着技术的不断扩展,仅ABB或DVS所能达到的性能就受到了限制。在本文中,我们提出了一种基于过程角的灵敏度驱动方法,通过将ABB与DVS合并来进行自恢复SRAM设计。更重要的是,我们充分利用了读写稳定性与管芯间工艺变化的不均匀行为之间的矛盾,从而降低了噪声裕量(NM),这是对低功耗SRAM设计的一种祝福。基于PTM 32nm CMOS技术的仿真结果量化了该方案的可行性和有效性。提议的方法分别将静态噪声裕度(SNM),读取噪声裕度(RNM)和写入裕度(WM)分别降低了12.6%,59.2%和6.1%。此外,在保持,读取和写入模式下,泄漏电流降低了57.1%,功率赎回分别达到67.9%,13.1%和5.2%。

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