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Hardware implementation of the Smith-Waterman Algorithm using Recursive Variable Expansion

机译:使用递归变量扩展的Smith-Waterman算法的硬件实现

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In this paper we adapted a novel approach for accelerating the Smith-Waterman (S-W) algorithm using Recursive Variable Expansion (RVE), which exposes extra parallelism in the algorithm, as compared to any other technique. The results demonstrate that applying the recursive variable expansion technique speeds up the performance by a factor of 1.36 to 1.41, as compared to traditional acceleration approaches at the cost of using 1.25 to 1.28 times more hardware resources.
机译:在本文中,我们适用于使用递归可变扩展(RVE)加速史密斯 - 水曼(S-W)算法的新方法,与任何其他技术相比,在算法中暴露额外的并行性。结果表明,与传统加速方法相比,应用递归可变扩展技术将性能加速为1.36至1.41,以使用1.25至1.28倍的硬件资源。

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