X. Gan, Kui Dai, Libo Huang, Li Shen, Zhiying Wang
{"title":"基于同步数据触发体系结构的CORDIC新算法及软件实现","authors":"X. Gan, Kui Dai, Libo Huang, Li Shen, Zhiying Wang","doi":"10.1109/MUE.2008.40","DOIUrl":null,"url":null,"abstract":"A new CORDIC algorithm based on sign bits prediction is presented. It is an effective method for transforming arbitrary iterations of classic CORDIC to simple matrix multiplications. At the same time, this algorithm is implemented based on synchronized data triggering architecture (SDTA). Experimental results show that the average speed-up of transcendental functions tested based on our version CORDIC compared with mathematic library supported in gcc3.2.2 is up to 283% under the given Neuron microprocessor.","PeriodicalId":203066,"journal":{"name":"2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New CORDIC Algorithm and Software Implementation Based on Synchronized Data Triggering Architecture\",\"authors\":\"X. Gan, Kui Dai, Libo Huang, Li Shen, Zhiying Wang\",\"doi\":\"10.1109/MUE.2008.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new CORDIC algorithm based on sign bits prediction is presented. It is an effective method for transforming arbitrary iterations of classic CORDIC to simple matrix multiplications. At the same time, this algorithm is implemented based on synchronized data triggering architecture (SDTA). Experimental results show that the average speed-up of transcendental functions tested based on our version CORDIC compared with mathematic library supported in gcc3.2.2 is up to 283% under the given Neuron microprocessor.\",\"PeriodicalId\":203066,\"journal\":{\"name\":\"2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MUE.2008.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MUE.2008.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New CORDIC Algorithm and Software Implementation Based on Synchronized Data Triggering Architecture
A new CORDIC algorithm based on sign bits prediction is presented. It is an effective method for transforming arbitrary iterations of classic CORDIC to simple matrix multiplications. At the same time, this algorithm is implemented based on synchronized data triggering architecture (SDTA). Experimental results show that the average speed-up of transcendental functions tested based on our version CORDIC compared with mathematic library supported in gcc3.2.2 is up to 283% under the given Neuron microprocessor.