Pairwise Sequence Alignment with Gaps with GPU
Department of Computer Science, University of Liverpool, UK
4th International Workshop on Heterogenous and Unconventional Cluster Architectures and Applications (HUCAA), 2015
@article{carroll2015pairwise,
title={Pairwise Sequence Alignment with Gaps with GPU},
author={Carroll, Thomas C and Ojiaku, Jude-Thaddeus and Wong, Prudence WH},
year={2015}
}
In this paper we consider the pair-wise sequence alignment problem with gaps, which is motivated by the resequencing problem that requires to assemble short reads sequences into a genome sequence by referring to a reference sequence. The problem has been studied before for single gap and bounded number of gaps. For single gap, there was a GPU-based algorithm proposed. In our work we propose a GPU-based algorithm for the bounded number of gaps case. We implemented the algorithm and compare the performance with the CPU-based algorithm in a multithreadded environment; the results are promising with the GPU version achieving a speedup of 30 times.
October 27, 2015 by hgpu
