{"title":"基于FINFET的il7t SRAM单元:用于便携式医疗设备的可靠,硅面积和功率效率","authors":"Lal John Basha Shaik, Atul Shankar Mani Tripathi","doi":"10.1007/s12633-025-03321-8","DOIUrl":null,"url":null,"abstract":"<div><p>Portable biomedical devices aim to serve in human life at a reasonable cost. The portable devices having significant impact due to compact size and durable battery operation. The pixel information is storing in embedded memory for biomedical image processing equipment, where the pixel values hold vital information about the image. Static random-access memory (SRAM) is used in the majority of embedded memories for storing this vital information. To holds vital data, SRAM needs to be extremely reliable, stable and low in power consumption. The proposed research presents a revolutionary low-energy, silicon area efficient, robust FinFET based Intramural loop 7 T (IL 7 T) SRAM bit cell that achieves a large read static margin while operating in weak inversion region (lowering the supply voltage to lower power dissipation). It provides numerous of benefits in terms of area, power, latency over few current existing designs. In contrast to the traditional MOSFET based TG8T, 9 Transistors SRAM architectures, the proposed cell offers decrease in latency (Read delay / Access Time-τ<sub>ra</sub>) of 42.8%, 57.4%, a significant rise in ‘static voltage noise margin’ (SVNM) of 42.1% and 81.1%, and a limiting leakage power dissipation of 84.5% and 33.19%. Including the lower energy consumption and high reliability, the proposed work occupies in small silicon area. The 7 transistors are used in one memory cell, it requires 1.02X less area overhead than a conventional MOSFET based 6 T memory cell. This cell has the greatest performance metrics out of all the SRAM cells under consideration for compression. The used design functioned under weak inversion region and obtained the optimum performance metrics in memory design at a 300 mV supply voltage for biomedical applications.</p></div>","PeriodicalId":776,"journal":{"name":"Silicon","volume":"17 8","pages":"1969 - 1991"},"PeriodicalIF":3.3000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FINFET Based IL 7 T SRAM Cell: Reliable, Silicon Area- and Power Efficient for Use in Portable Medical Equipment\",\"authors\":\"Lal John Basha Shaik, Atul Shankar Mani Tripathi\",\"doi\":\"10.1007/s12633-025-03321-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Portable biomedical devices aim to serve in human life at a reasonable cost. The portable devices having significant impact due to compact size and durable battery operation. The pixel information is storing in embedded memory for biomedical image processing equipment, where the pixel values hold vital information about the image. Static random-access memory (SRAM) is used in the majority of embedded memories for storing this vital information. To holds vital data, SRAM needs to be extremely reliable, stable and low in power consumption. The proposed research presents a revolutionary low-energy, silicon area efficient, robust FinFET based Intramural loop 7 T (IL 7 T) SRAM bit cell that achieves a large read static margin while operating in weak inversion region (lowering the supply voltage to lower power dissipation). It provides numerous of benefits in terms of area, power, latency over few current existing designs. In contrast to the traditional MOSFET based TG8T, 9 Transistors SRAM architectures, the proposed cell offers decrease in latency (Read delay / Access Time-τ<sub>ra</sub>) of 42.8%, 57.4%, a significant rise in ‘static voltage noise margin’ (SVNM) of 42.1% and 81.1%, and a limiting leakage power dissipation of 84.5% and 33.19%. Including the lower energy consumption and high reliability, the proposed work occupies in small silicon area. The 7 transistors are used in one memory cell, it requires 1.02X less area overhead than a conventional MOSFET based 6 T memory cell. This cell has the greatest performance metrics out of all the SRAM cells under consideration for compression. The used design functioned under weak inversion region and obtained the optimum performance metrics in memory design at a 300 mV supply voltage for biomedical applications.</p></div>\",\"PeriodicalId\":776,\"journal\":{\"name\":\"Silicon\",\"volume\":\"17 8\",\"pages\":\"1969 - 1991\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Silicon\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12633-025-03321-8\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Silicon","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s12633-025-03321-8","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
摘要
便携式生物医学设备旨在以合理的成本服务于人类生活。便携设备由于其紧凑的尺寸和耐用的电池操作而具有显著的影响。像素信息存储在用于生物医学图像处理设备的嵌入式存储器中,其中像素值保存有关图像的重要信息。静态随机存取存储器(SRAM)在大多数嵌入式存储器中用于存储这些重要信息。为了保存重要数据,SRAM需要非常可靠、稳定和低功耗。提出的研究提出了一种革命性的低能量,硅面积高效,鲁棒的基于FinFET的内部环路7t (IL 7t) SRAM位单元,在弱反转区域工作时实现了大的读取静态裕度(降低电源电压以降低功耗)。它在面积、功耗、延迟方面比目前现有的几种设计有许多优点。与传统的基于MOSFET的TG8T, 9晶体管SRAM架构相比,该单元的延迟(读取延迟/访问时间-τra)分别降低42.8%和57.4%,“静态电压噪声边际”(SVNM)分别显著提高42.1%和81.1%,限制泄漏功耗分别为84.5%和33.19%。该方法具有功耗低、可靠性高的特点,且所占硅片面积小。在一个存储单元中使用7个晶体管,它需要的面积开销比传统的基于MOSFET的6 T存储单元少1.02倍。这个单元在考虑压缩的所有SRAM单元中具有最好的性能指标。所采用的设计在弱反转区工作,在300 mV电源电压下获得了生物医学应用中存储器设计的最佳性能指标。
FINFET Based IL 7 T SRAM Cell: Reliable, Silicon Area- and Power Efficient for Use in Portable Medical Equipment
Portable biomedical devices aim to serve in human life at a reasonable cost. The portable devices having significant impact due to compact size and durable battery operation. The pixel information is storing in embedded memory for biomedical image processing equipment, where the pixel values hold vital information about the image. Static random-access memory (SRAM) is used in the majority of embedded memories for storing this vital information. To holds vital data, SRAM needs to be extremely reliable, stable and low in power consumption. The proposed research presents a revolutionary low-energy, silicon area efficient, robust FinFET based Intramural loop 7 T (IL 7 T) SRAM bit cell that achieves a large read static margin while operating in weak inversion region (lowering the supply voltage to lower power dissipation). It provides numerous of benefits in terms of area, power, latency over few current existing designs. In contrast to the traditional MOSFET based TG8T, 9 Transistors SRAM architectures, the proposed cell offers decrease in latency (Read delay / Access Time-τra) of 42.8%, 57.4%, a significant rise in ‘static voltage noise margin’ (SVNM) of 42.1% and 81.1%, and a limiting leakage power dissipation of 84.5% and 33.19%. Including the lower energy consumption and high reliability, the proposed work occupies in small silicon area. The 7 transistors are used in one memory cell, it requires 1.02X less area overhead than a conventional MOSFET based 6 T memory cell. This cell has the greatest performance metrics out of all the SRAM cells under consideration for compression. The used design functioned under weak inversion region and obtained the optimum performance metrics in memory design at a 300 mV supply voltage for biomedical applications.
期刊介绍:
The journal Silicon is intended to serve all those involved in studying the role of silicon as an enabling element in materials science. There are no restrictions on disciplinary boundaries provided the focus is on silicon-based materials or adds significantly to the understanding of such materials. Accordingly, such contributions are welcome in the areas of inorganic and organic chemistry, physics, biology, engineering, nanoscience, environmental science, electronics and optoelectronics, and modeling and theory. Relevant silicon-based materials include, but are not limited to, semiconductors, polymers, composites, ceramics, glasses, coatings, resins, composites, small molecules, and thin films.