{"title":"并行序列比较和对齐","authors":"R. Hughey","doi":"10.1109/ASAP.1995.522916","DOIUrl":null,"url":null,"abstract":"Sequence comparisons, a vital research tool in computational biology, is based on a simple O(n/sup 2/) algorithm that easily maps to a linear array of processors. This paper reviews and compares high-performance sequence analysis on general-purpose supercomputers and single-purpose, reconfigurable, and programmable co-processors. The difficulty of comparing hardware from published performance figures is also noted.","PeriodicalId":354358,"journal":{"name":"Proceedings The International Conference on Application Specific Array Processors","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Parallel sequence comparison and alignment\",\"authors\":\"R. Hughey\",\"doi\":\"10.1109/ASAP.1995.522916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sequence comparisons, a vital research tool in computational biology, is based on a simple O(n/sup 2/) algorithm that easily maps to a linear array of processors. This paper reviews and compares high-performance sequence analysis on general-purpose supercomputers and single-purpose, reconfigurable, and programmable co-processors. The difficulty of comparing hardware from published performance figures is also noted.\",\"PeriodicalId\":354358,\"journal\":{\"name\":\"Proceedings The International Conference on Application Specific Array Processors\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings The International Conference on Application Specific Array Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.1995.522916\",\"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 The International Conference on Application Specific Array Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.1995.522916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sequence comparisons, a vital research tool in computational biology, is based on a simple O(n/sup 2/) algorithm that easily maps to a linear array of processors. This paper reviews and compares high-performance sequence analysis on general-purpose supercomputers and single-purpose, reconfigurable, and programmable co-processors. The difficulty of comparing hardware from published performance figures is also noted.