{"title":"使用分时TMR的快速分压器的功耗","authors":"W. Gallagher, E. Swartzlander","doi":"10.1109/DFTVS.1999.802892","DOIUrl":null,"url":null,"abstract":"The Newton-Raphson algorithm and Goldschmidt's algorithm (series expansion) are two popular methods of implementing division. Both are based on multiplication and converge quadratically to the result over several iterations. Applying time shared triple modular redundancy (TSTMR), a fault tolerance technique, to such a divider requires using a smaller multiplier and triplicating the divider circuit. To reduce division latency, the division algorithm can be modified to use lower precision multiplications during early iterations. This work summarizes and compares several important properties of these dividers: latency, area, average power dissipation and energy per divide.","PeriodicalId":448322,"journal":{"name":"Proceedings 1999 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (EFT'99)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Power consumption in fast dividers using time shared TMR\",\"authors\":\"W. Gallagher, E. Swartzlander\",\"doi\":\"10.1109/DFTVS.1999.802892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Newton-Raphson algorithm and Goldschmidt's algorithm (series expansion) are two popular methods of implementing division. Both are based on multiplication and converge quadratically to the result over several iterations. Applying time shared triple modular redundancy (TSTMR), a fault tolerance technique, to such a divider requires using a smaller multiplier and triplicating the divider circuit. To reduce division latency, the division algorithm can be modified to use lower precision multiplications during early iterations. This work summarizes and compares several important properties of these dividers: latency, area, average power dissipation and energy per divide.\",\"PeriodicalId\":448322,\"journal\":{\"name\":\"Proceedings 1999 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (EFT'99)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1999 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (EFT'99)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DFTVS.1999.802892\",\"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 1999 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (EFT'99)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFTVS.1999.802892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power consumption in fast dividers using time shared TMR
The Newton-Raphson algorithm and Goldschmidt's algorithm (series expansion) are two popular methods of implementing division. Both are based on multiplication and converge quadratically to the result over several iterations. Applying time shared triple modular redundancy (TSTMR), a fault tolerance technique, to such a divider requires using a smaller multiplier and triplicating the divider circuit. To reduce division latency, the division algorithm can be modified to use lower precision multiplications during early iterations. This work summarizes and compares several important properties of these dividers: latency, area, average power dissipation and energy per divide.