Parametrizing multicore architectures for multiple sequence alignment
Proceedings of the 8th ACM International Conference on Computing Frontiers
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Sequence alignment is a fundamental instrument in Bioinformatics. In recent years, numerous proposals have been addressing the problem of accelerating this class of applications. This, due to the rapid growth of sequence databases in combination with the high computational demands imposed by the algorithms. In this paper we focus on the analysis of the progressive alignment in ClustalW, a widely used program for performing multiple sequence alignment. We have parallelized ClustalW for the Cell processor architecture and have carefully analyzed the scalability of its different phases with both the number of cores used and the input size. Experimental results show that computing profile scores scales well up to 16 SPE cores. With the increase of the input size, profiles initialization in the PPE core becomes the predominant bottleneck.