{"title":"将生命科学应用纳入下一代千万亿次浮点运算系统的架构优化","authors":"David A. Bader, Vipin Sachdeva","doi":"10.1109/CSBW.2005.77","DOIUrl":null,"url":null,"abstract":"Advances in experimental techniques have transformed biology into a data-intensive science, with a rapid explosion of data at the genomic and proteomic level. Few comprehensive suites of computationally-intensive life science applications are available to the computer science community for optimization of current high-performance architectures specifically targeted towards the computational biology applications. BioSplash represents a wide variety of open-source codes spanning the heterogeneity of algorithms, biological problems, popularity among biologists, and memory traits, gearing the suite to be of importance to both biologists and computer scientists.","PeriodicalId":123531,"journal":{"name":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system\",\"authors\":\"David A. Bader, Vipin Sachdeva\",\"doi\":\"10.1109/CSBW.2005.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advances in experimental techniques have transformed biology into a data-intensive science, with a rapid explosion of data at the genomic and proteomic level. Few comprehensive suites of computationally-intensive life science applications are available to the computer science community for optimization of current high-performance architectures specifically targeted towards the computational biology applications. BioSplash represents a wide variety of open-source codes spanning the heterogeneity of algorithms, biological problems, popularity among biologists, and memory traits, gearing the suite to be of importance to both biologists and computer scientists.\",\"PeriodicalId\":123531,\"journal\":{\"name\":\"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSBW.2005.77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSBW.2005.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incorporating life sciences applications in the architectural optimizations of next-generation petaflop-system
Advances in experimental techniques have transformed biology into a data-intensive science, with a rapid explosion of data at the genomic and proteomic level. Few comprehensive suites of computationally-intensive life science applications are available to the computer science community for optimization of current high-performance architectures specifically targeted towards the computational biology applications. BioSplash represents a wide variety of open-source codes spanning the heterogeneity of algorithms, biological problems, popularity among biologists, and memory traits, gearing the suite to be of importance to both biologists and computer scientists.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
