{"title":"电容感知功率优化寄存器的设计与实现","authors":"S. Banshal, B. Pandey, S. Brenda","doi":"10.1109/ICCCI.2014.6921838","DOIUrl":null,"url":null,"abstract":"Power optimization is the main concern in designing. In this paper, capacitance scaling is implemented on register to optimize the power. Clock Power & Signal Power are independent of capacitance scaling. I/O Power & Leakage Power is varying with changing capacitance. There is 48.76% drop in I/O Power when we reduce capacitance from 512 pF to 256 pF. In case of reducing further to 128 pF there is 73.15% power reduction occurred. To go more further to reduce capacitance to 64 pF the reduction scale is going up to 85.34%. When we reduce the capacitance to 32 pF the reduction in power dissipation is 97.00%. This design is implemented on 28 nm Artix7 FPGA. The power consumption of this design is verified on XPower 14.6.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Capacitance scaling aware power optimized register design and implementation on 28nm FPGA\",\"authors\":\"S. Banshal, B. Pandey, S. Brenda\",\"doi\":\"10.1109/ICCCI.2014.6921838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power optimization is the main concern in designing. In this paper, capacitance scaling is implemented on register to optimize the power. Clock Power & Signal Power are independent of capacitance scaling. I/O Power & Leakage Power is varying with changing capacitance. There is 48.76% drop in I/O Power when we reduce capacitance from 512 pF to 256 pF. In case of reducing further to 128 pF there is 73.15% power reduction occurred. To go more further to reduce capacitance to 64 pF the reduction scale is going up to 85.34%. When we reduce the capacitance to 32 pF the reduction in power dissipation is 97.00%. This design is implemented on 28 nm Artix7 FPGA. The power consumption of this design is verified on XPower 14.6.\",\"PeriodicalId\":244242,\"journal\":{\"name\":\"2014 International Conference on Computer Communication and Informatics\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Computer Communication and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCI.2014.6921838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computer Communication and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI.2014.6921838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Capacitance scaling aware power optimized register design and implementation on 28nm FPGA
Power optimization is the main concern in designing. In this paper, capacitance scaling is implemented on register to optimize the power. Clock Power & Signal Power are independent of capacitance scaling. I/O Power & Leakage Power is varying with changing capacitance. There is 48.76% drop in I/O Power when we reduce capacitance from 512 pF to 256 pF. In case of reducing further to 128 pF there is 73.15% power reduction occurred. To go more further to reduce capacitance to 64 pF the reduction scale is going up to 85.34%. When we reduce the capacitance to 32 pF the reduction in power dissipation is 97.00%. This design is implemented on 28 nm Artix7 FPGA. The power consumption of this design is verified on XPower 14.6.