{"title":"生物信息学应用的可重构架构","authors":"A. Dollas","doi":"10.1109/ISVLSI.2010.111","DOIUrl":null,"url":null,"abstract":"Reconfigurable technology offers great advantages in bioinformatics applications vs. general-purpose computing. The presentation outlined in this paper looks into the attributes of several bioinformatics algorithms which make them suitable for reconfigurable computing, the resulting architectures, and their performance tradeoffs vs. general-purpose computers, graphics processor units (GPU) and VLSI.","PeriodicalId":187530,"journal":{"name":"2010 IEEE Computer Society Annual Symposium on VLSI","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reconfigurable Architectures for Bioinformatics Applications\",\"authors\":\"A. Dollas\",\"doi\":\"10.1109/ISVLSI.2010.111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reconfigurable technology offers great advantages in bioinformatics applications vs. general-purpose computing. The presentation outlined in this paper looks into the attributes of several bioinformatics algorithms which make them suitable for reconfigurable computing, the resulting architectures, and their performance tradeoffs vs. general-purpose computers, graphics processor units (GPU) and VLSI.\",\"PeriodicalId\":187530,\"journal\":{\"name\":\"2010 IEEE Computer Society Annual Symposium on VLSI\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Computer Society Annual Symposium on VLSI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISVLSI.2010.111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Computer Society Annual Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2010.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reconfigurable Architectures for Bioinformatics Applications
Reconfigurable technology offers great advantages in bioinformatics applications vs. general-purpose computing. The presentation outlined in this paper looks into the attributes of several bioinformatics algorithms which make them suitable for reconfigurable computing, the resulting architectures, and their performance tradeoffs vs. general-purpose computers, graphics processor units (GPU) and VLSI.