首页> 外文会议>Computer Modeling and Simulation, 2009. EMS '09 >Development of Novel Data Compression Technique for Accelerate DNA Sequence Alignment Based on Smith–Waterman Algorithm
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Development of Novel Data Compression Technique for Accelerate DNA Sequence Alignment Based on Smith–Waterman Algorithm

机译:基于Smith-Waterman算法的新型数据压缩技术用于加速DNA序列比对

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This paper presents the development of high performance accelerating technique for DNA sequences alignment. The scope of the paper focuses on speed optimization and memory reduction of the existing technique on initialization module. The novel development of the optimization using data compression technique for accelerates the Smith-Waterman (SW) algorithm has been revealed through this paper. This technique has been implemented on hardware based acceleration device. The development is targeted to Altera Cyclone II 2C70 FPGA and using 50MHz oscillator. The code is written in verilog HDL syntax using Quartus 2 version 7.2 and the simulation is verified using Quartus 2 version 7.2 simulator tool. The theoretical analysis and simulation result based on implementation of the design using FPGA are presented and well organized in this paper. The comparative study based on theoretical and simulation results of this technique has been made to accomplish result of analysis. The compilation result for data compression technique development of SW algorithm consisting of 73 logic elements with 93.75% reduction in memory space requirement.
机译:本文提出了用于DNA序列比对的高性能加速技术的发展。本文的范围集中在初始化模块上现有技术的速度优化和内存减少。通过数据揭示了使用数据压缩技术优化Smith-Waterman(SW)算法的新进展。该技术已在基于硬件的加速设备上实现。该开发针对于Altera Cyclone II 2C70 FPGA并使用50MHz振荡器。该代码使用Quartus 2版本7.2以verilog HDL语法编写,并且使用Quartus 2版本7.2仿真器工具验证了仿真。提出并很好地组织了基于FPGA设计的理论分析和仿真结果。对该技术的理论和仿真结果进行了比较研究,以完成分析结果。 SW算法的数据压缩技术开发的编译结果由73个逻辑元素组成,减少了93.75%的存储空间需求。

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