{"title":"用于低vmin物联网和认知应用的6T FinFET sram中的多个组合读写外设辅助","authors":"A. Banerjee, Sumanth Kamineni, B. Calhoun","doi":"10.1145/3218603.3218628","DOIUrl":null,"url":null,"abstract":"Battery-operated or energy-harvested IoT and cognitive SoCs in modern FinFET processes prefer the use of low-VMIN SRAMs for ultra-low power (ULP) operations. However, the 1:1:1 high-density (HD) FinFET 6T bitcell faces challenges in achieving a lower VMIN across process variation. The 6T bitcell VMIN improves either by increasing the size of the bitcell or by using combinations of peripheral assists (PAs) since a single PA cannot achieve the best VMIN across process variation. State-of-the-art works show some combinations of write and read PAs that lower the VMIN of 6T FinFET SRAMs. However, the better combinations of PA for 14nm HD 6T FinFET SRAMs are unknown. This work compares all the possible dual combinations of PAs and reveals the better ones. We show that in a usual column mux scenario the combination of negative bitline with VDD boosting and VDD collapse with VDD boosting in a proportion of 14% and 6% (total 20%), respectively, maximize the static VMIN improvement close to 191mV for ULP IoT and cognitive applications. We also show that a combination of wordline boosting with negative bitline and wordline boosting with VSS lowering achieve a 150mV and 25mV of dynamic VMIN improvement at the 5GHz frequency for the worst-case write and read corners, respectively, beating other combinations.","PeriodicalId":20456,"journal":{"name":"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multiple Combined Write-Read Peripheral Assists in 6T FinFET SRAMs for Low-VMIN IoT and Cognitive Applications\",\"authors\":\"A. Banerjee, Sumanth Kamineni, B. Calhoun\",\"doi\":\"10.1145/3218603.3218628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Battery-operated or energy-harvested IoT and cognitive SoCs in modern FinFET processes prefer the use of low-VMIN SRAMs for ultra-low power (ULP) operations. However, the 1:1:1 high-density (HD) FinFET 6T bitcell faces challenges in achieving a lower VMIN across process variation. The 6T bitcell VMIN improves either by increasing the size of the bitcell or by using combinations of peripheral assists (PAs) since a single PA cannot achieve the best VMIN across process variation. State-of-the-art works show some combinations of write and read PAs that lower the VMIN of 6T FinFET SRAMs. However, the better combinations of PA for 14nm HD 6T FinFET SRAMs are unknown. This work compares all the possible dual combinations of PAs and reveals the better ones. We show that in a usual column mux scenario the combination of negative bitline with VDD boosting and VDD collapse with VDD boosting in a proportion of 14% and 6% (total 20%), respectively, maximize the static VMIN improvement close to 191mV for ULP IoT and cognitive applications. We also show that a combination of wordline boosting with negative bitline and wordline boosting with VSS lowering achieve a 150mV and 25mV of dynamic VMIN improvement at the 5GHz frequency for the worst-case write and read corners, respectively, beating other combinations.\",\"PeriodicalId\":20456,\"journal\":{\"name\":\"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3218603.3218628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3218603.3218628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
在现代FinFET工艺中,电池供电或能量收集的物联网和认知soc更倾向于使用低vmin sram进行超低功耗(ULP)操作。然而,1:1:1高密度(HD) FinFET 6T位单元在实现低VMIN跨工艺变化方面面临挑战。6T位单元VMIN通过增加位单元的大小或使用外围辅助(PA)的组合来改进,因为单个PA不能实现最佳的VMIN。最新的研究表明,一些写入和读取PAs的组合可以降低6T FinFET sram的VMIN。然而,对于14nm HD 6T FinFET sram来说,PA的更好组合是未知的。这项工作比较了所有可能的PAs双组合,并揭示了较好的组合。我们表明,在通常的列复用场景中,负位线与VDD增强的组合和VDD崩溃与VDD增强的组合分别占14%和6%(总占20%),对于ULP物联网和认知应用,最大限度地提高了接近191mV的静态VMIN。我们还表明,在最坏情况下,在5GHz频率下,带负位线的字线增强和带VSS降低的字线增强组合分别实现了150mV和25mV的动态VMIN改进,优于其他组合。
Multiple Combined Write-Read Peripheral Assists in 6T FinFET SRAMs for Low-VMIN IoT and Cognitive Applications
Battery-operated or energy-harvested IoT and cognitive SoCs in modern FinFET processes prefer the use of low-VMIN SRAMs for ultra-low power (ULP) operations. However, the 1:1:1 high-density (HD) FinFET 6T bitcell faces challenges in achieving a lower VMIN across process variation. The 6T bitcell VMIN improves either by increasing the size of the bitcell or by using combinations of peripheral assists (PAs) since a single PA cannot achieve the best VMIN across process variation. State-of-the-art works show some combinations of write and read PAs that lower the VMIN of 6T FinFET SRAMs. However, the better combinations of PA for 14nm HD 6T FinFET SRAMs are unknown. This work compares all the possible dual combinations of PAs and reveals the better ones. We show that in a usual column mux scenario the combination of negative bitline with VDD boosting and VDD collapse with VDD boosting in a proportion of 14% and 6% (total 20%), respectively, maximize the static VMIN improvement close to 191mV for ULP IoT and cognitive applications. We also show that a combination of wordline boosting with negative bitline and wordline boosting with VSS lowering achieve a 150mV and 25mV of dynamic VMIN improvement at the 5GHz frequency for the worst-case write and read corners, respectively, beating other combinations.