{"title":"基于fpga的高性能生物序列比对Web服务器","authors":"Y. Liu, K. Benkrid, A. Benkrid, Server Kasap","doi":"10.1109/AHS.2009.59","DOIUrl":null,"url":null,"abstract":"This paper presents the design and implementation of the FPGA-based web server for biological sequence alignment. Central to this web-server is a set of highly parameterisable, scalable, and platform-independent FPGA cores for biological sequence alignment. The web server consists of an HTML–based interface, a MySQL database which holds user queries and results, a set of biological databases, a library of FPGA configurations, a host application servicing user requests, and an FPGA coprocessor for the acceleration of the sequence alignment operation. The paper presents a real implementation of this server on an HP ProLiant DL145 server with a Celoxica RCHTX FPGA board. Compared to an optimized pure software implementation, our FPGA-based web server achieved a two order of magnitude speed-up for a pairwise protein sequence alignment application based on the Smith-Waterman algorithm. The FPGA-based implementation has the added advantage of being over 100x more energy efficient.","PeriodicalId":318989,"journal":{"name":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"864 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"An FPGA-Based Web Server for High Performance Biological Sequence Alignment\",\"authors\":\"Y. Liu, K. Benkrid, A. Benkrid, Server Kasap\",\"doi\":\"10.1109/AHS.2009.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design and implementation of the FPGA-based web server for biological sequence alignment. Central to this web-server is a set of highly parameterisable, scalable, and platform-independent FPGA cores for biological sequence alignment. The web server consists of an HTML–based interface, a MySQL database which holds user queries and results, a set of biological databases, a library of FPGA configurations, a host application servicing user requests, and an FPGA coprocessor for the acceleration of the sequence alignment operation. The paper presents a real implementation of this server on an HP ProLiant DL145 server with a Celoxica RCHTX FPGA board. Compared to an optimized pure software implementation, our FPGA-based web server achieved a two order of magnitude speed-up for a pairwise protein sequence alignment application based on the Smith-Waterman algorithm. The FPGA-based implementation has the added advantage of being over 100x more energy efficient.\",\"PeriodicalId\":318989,\"journal\":{\"name\":\"2009 NASA/ESA Conference on Adaptive Hardware and Systems\",\"volume\":\"864 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 NASA/ESA Conference on Adaptive Hardware and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AHS.2009.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2009.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An FPGA-Based Web Server for High Performance Biological Sequence Alignment
This paper presents the design and implementation of the FPGA-based web server for biological sequence alignment. Central to this web-server is a set of highly parameterisable, scalable, and platform-independent FPGA cores for biological sequence alignment. The web server consists of an HTML–based interface, a MySQL database which holds user queries and results, a set of biological databases, a library of FPGA configurations, a host application servicing user requests, and an FPGA coprocessor for the acceleration of the sequence alignment operation. The paper presents a real implementation of this server on an HP ProLiant DL145 server with a Celoxica RCHTX FPGA board. Compared to an optimized pure software implementation, our FPGA-based web server achieved a two order of magnitude speed-up for a pairwise protein sequence alignment application based on the Smith-Waterman algorithm. The FPGA-based implementation has the added advantage of being over 100x more energy efficient.