...
首页> 外文期刊>Very Large Scale Integration (VLSI) Systems, IEEE Transactions on >A Discussion on SRAM Circuit Design Trend in Deeper Nanometer-Scale Technologies
【24h】

A Discussion on SRAM Circuit Design Trend in Deeper Nanometer-Scale Technologies

机译:深纳米技术中SRAM电路设计趋势的探讨

获取原文
获取原文并翻译 | 示例
           

摘要

This paper compares area scaling capabilities of many kinds of SRAM margin-assist solutions for $V_{T}$ variability issues, which are based on various efforts by not only the cell topology changes from 6T to 8T and 10T but also incorporation of multiple voltage supply for cell terminal biasing and timing sequence controls of read and write. The various SRAM solutions are analyzed in light of an impact on the required area overhead for each design solution given by ever-increasing $V_{T}$ random variation $(sigma_{rm VT})$, resulting in a slowdown in the SRAM scaling pace. In order to predict the area scaling trends among various SRAM solutions, two different $sigma_{rm VT}$-increasing scenarios of being pessimistic and optimistic are assumed, where $sigma_{rm VT}$ becomes $> 130$ mV and suppressed to $u0003C;70$ mV at the 15-nm process node, respectively. As a result, it has been shown that the 6T SRAM cell will be allowed long reign, even in the 15-nm process node, if $sigma_{rm VT}$ can be suppressed to $u0003C; 70$ mV thanks to effective oxide thickness scaling for the low-standby-power process; otherwise, 10T and 8T with read–modify–write will be needed after $sigma_{rm VT}$ becomes $>85$ and 75 mV, respec-ntively.
机译:本文比较了针对$ V_ {T} $可变性问题的多种SRAM余量辅助解决方案的面积缩放能力,这些解决方案不仅基于单元拓扑从6T变为8T和10T的各种努力,而且还考虑了多种电压的结合提供单元端子偏置和读写时序控制。根据不断增加的$ V_ {T} $随机变化$(sigma_ {rm VT})$对每种设计解决方案所需面积开销的影响,分析了各种SRAM解决方案,从而导致SRAM变慢扩展速度。为了预测各种SRAM解决方案之间的面积缩放趋势,假设出现了两种增加$ sigma_ {rm VT} $悲观和乐观的情况,其中$ sigma_ {rm VT} $变为$> 130 $ mV并抑制为在15纳米工艺节点处分别为$ u0003C; 70 $ mV。结果表明,即使可以将$ sigma_ {rm VT} $抑制到$ u0003C,即使在15nm工艺节点中,也可以长时间控制6T SRAM单元。 70 $ mV,这归功于低待机功耗工艺中有效的氧化物厚度缩放;否则,分别在$ sigma_ {rm VT} $变为$> 85 $和75 mV之后,将需要具有读-修改-写功能的10T和8T。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号