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ESL Based Smith-Waterman Engine

机译:基于ESL的Smith-Waterman引擎

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摘要

Sequence alignment is a key operation in computional biology. To determine similar regions between two nucleotide or protein sequences, the Smith-Waterman (SW) algorithm is a widely used algorithm to compare segments of all possible lengths and optimizes the similarity measure. As the sequence database keeps growing significantly, the deditated hardware is needd to facilitate faster SW operation. In design methodology aspect, Electronic System Level (ESL) has emerged as a practical to the rapid implementation of specific algorithm. In this paper, an ESL based development is adopted and the design space for SW implementation is explored using ESL method. The experiments show the performance of SW calculation can be speed up as 2.5 times with roughly 1.6 more gate count. Also, the development cycle is shortened significantly. Therefore, the benefit of ESL method is demonstrated.
机译:序列比对是计算生物学中的关键操作。为了确定两个核苷酸或蛋白质序列之间的相似区域,Smith-Waterman(SW)算法是一种广泛使用的算法,用于比较所有可能长度的片段并优化相似性度量。由于序列数据库持续显着增长,因此需要经过精编的硬件以促进更快的软件操作。在设计方法论方面,电子系统级(ESL)已经出现,可以快速实施特定算法。本文采用基于ESL的开发,并使用ESL方法探索了软件实现的设计空间。实验表明,SW计算的性能可以提高2.5倍,而门数增加了约1.6。而且,开发周期大大缩短了。因此,证明了ESL方法的好处。

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