Scalable Self-Tuning Implementation of Smith-Waterman Algorithm for Multicore CPUs

@inproceedings{Sikder2014ScalableSI,
  title={Scalable Self-Tuning Implementation of Smith-Waterman Algorithm for Multicore CPUs},
  author={Faisal Sikder and Dilip Sarkar},
  year={2014}
}
Improved version of the Smith-Waterman algorithm (SWA) is most widely used for local alignment of a pattern (or query) sequence with a Database (DB) sequence. This dynamicprogramming algorithm is computation intensive. To reduce time for computing alignment score matrix, parallel versions have been implemented on GPUs and multicore CPUs. These parallel… CONTINUE READING