多核加速器上后缀阵列构建的并行DC3算法

Gang Liao, Longfei Ma, Guangming Zang, L. Tang
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引用次数: 4

摘要

在生物信息学应用中,后缀阵列广泛用于启发式算法初始精确匹配阶段的DNA序列比对。随着数据的指数级增长和可用性,使用多核加速器(如gpu)来优化现有算法是非常常见的。提出了一种新的后缀数组在GPU上的实现方法。因此,在包含超过1亿个字符的标准大型数据集上,GPU上的后缀数组构建实现了大约10倍的加速。这个想法简单、快速、可扩展,可以很容易地扩展到多核处理器甚至异构架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel DC3 Algorithm for Suffix Array Construction on Many-Core Accelerators
In bioinformatics applications, suffix arrays are widely used to DNA sequence alignments in the initial exact match phase of heuristic algorithms. With the exponential growth and availability of data, using many-core accelerators, like GPUs, to optimize existing algorithms is very common. We present a new implementation of suffix array on GPU. As a result, suffix array construction on GPU achieves around 10x speedup on standard large data sets, which contain more than 100 million characters. The idea is simple, fast and scalable that can be easily scale to multi-core processors and even heterogeneous architectures.
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