{"title":"Seed-based genomic sequence comparison using a FPGA/FLASH accelerator","authors":"D. Lavenier, Xinchun Liu, Gilles Georges","doi":"10.1109/FPT.2006.270389","DOIUrl":null,"url":null,"abstract":"This paper presents a parallel architecture for computing genomic sequence alignments using seed-based algorithms. Originality comes from the simultaneous use of FPGA components and flash memories. The FPGA technology brings the computer power while the flash memory provides high memory bandwidth able to feed a large array of specific operators. A 64 GBytes flash memory connected to a Xilinx Virtex-2 Pro PCI board has been developed and an array of 160 distance-computation operators have been implemented to perform the first step of seed-based alignment algorithms. Compared to the blast reference software family, we measured a speed-up of 75 on a real intensive genomic sequence comparison application","PeriodicalId":354940,"journal":{"name":"2006 IEEE International Conference on Field Programmable Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Field Programmable Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2006.270389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
This paper presents a parallel architecture for computing genomic sequence alignments using seed-based algorithms. Originality comes from the simultaneous use of FPGA components and flash memories. The FPGA technology brings the computer power while the flash memory provides high memory bandwidth able to feed a large array of specific operators. A 64 GBytes flash memory connected to a Xilinx Virtex-2 Pro PCI board has been developed and an array of 160 distance-computation operators have been implemented to perform the first step of seed-based alignment algorithms. Compared to the blast reference software family, we measured a speed-up of 75 on a real intensive genomic sequence comparison application
本文提出了一种利用基于种子的算法计算基因组序列比对的并行结构。独创性来自于FPGA组件和闪存的同时使用。FPGA技术带来了计算机能力,而闪存提供了高存储带宽,能够满足大量特定操作人员的需求。已经开发了连接到Xilinx Virtex-2 Pro PCI板的64 gb闪存,并实施了160个距离计算操作员阵列,以执行基于种子的对齐算法的第一步。与blast参考软件家族相比,我们在真正的密集基因组序列比较应用程序上测量了75的加速