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Edmiston, E.W., Core, N.G., Saltz, J.H. and Smith, R.M. (1988) Parallel Processing of Biological Sequence Comparison Algorithms. International Journal of Parallel Programming, 17, 259-275.
http://dx.doi.org/10.1007/BF02427852

has been cited by the following article:

• TITLE: Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

  AUTHORS: Amadou Chaibou, Oumarou Sie

  KEYWORDS: Cuda, GP-GPU, OpenMP, Parallel Computing, Smith-Waterman

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.6, June 18, 2015

  ABSTRACT: In this paper, we present parallel programming approaches to calculate the values of the cells in matrix’s scoring used in the Smith-Waterman’s algorithm for sequence alignment. This algorithm, well known in bioinformatics for its applications, is unfortunately time-consuming on a serial computer. We use formulation based on anti-diagonals structure of data. This representation focuses on parallelizable parts of the algorithm without changing the initial formulation of the algorithm. Approaching data in that way give us a formulation more flexible. To examine this approach, we encode it in OpenMP and Cuda C. The performance obtained shows the interest of our paper.