A Systolic Array-Based FPGA Parallel Architecture for the BLAST Algorithm.

ISRN bioinformatics Pub Date : 2012-09-04 eCollection Date: 2012-01-01 DOI:10.5402/2012/195658
Xinyu Guo, Hong Wang, Vijay Devabhaktuni
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引用次数: 21

Abstract

A design of systolic array-based Field Programmable Gate Array (FPGA) parallel architecture for Basic Local Alignment Search Tool (BLAST) Algorithm is proposed. BLAST is a heuristic biological sequence alignment algorithm which has been used by bioinformatics experts. In contrast to other designs that detect at most one hit in one-clock-cycle, our design applies a Multiple Hits Detection Module which is a pipelining systolic array to search multiple hits in a single-clock-cycle. Further, we designed a Hits Combination Block which combines overlapping hits from systolic array into one hit. These implementations completed the first and second step of BLAST architecture and achieved significant speedup comparing with previously published architectures.

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基于收缩阵列的BLAST算法FPGA并行架构。
提出了一种基于收缩阵列的现场可编程门阵列(FPGA)并行架构设计,用于基本局部对齐搜索工具(BLAST)算法。BLAST是一种启发式生物序列比对算法,已被生物信息学专家广泛使用。与其他在一个时钟周期内最多检测一次命中的设计相比,我们的设计应用了多个命中检测模块,这是一个流水线收缩数组,可以在单个时钟周期内搜索多个命中。此外,我们还设计了一个hit Combination Block,将来自收缩期数组的重叠hit组合成一个hit。这些实现完成了BLAST架构的第一步和第二步,与之前发布的架构相比,实现了显著的加速。
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