Parallelization of Weighted Sequence Comparison by using EBWT

Details Parallelization of Weighted Sequence Comparison by using EBWT Parallelization of Weighted Sequence Comparison by using EBWT

2010-11-02

arxiv.org/abs/1011.0597v3

Computer Science

Distributed, Parallel, and Cluster Computing

This paper has been withdrawn by the authors. Extended Burrows Wheeler transform; CUDA; Molecular Weighted Sequence; arXiv Adm

Scientific paper

The Extended Burrows Wheeler transform (EBWT) helps to find the distance between two sequences. Implementation of an existing algorithm takes considerable amount of time for small size sequences. In this paper, we give a parallel implementation of this algorithm using NVIDIA Compute Unified Device Architecture (CUDA). We have obtained, on an average, a 2X improvement in the performance.

Affiliated with

Also associated with

No associations

Rating

Parallelization of Weighted Sequence Comparison by using EBWT does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Parallelization of Weighted Sequence Comparison by using EBWT, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parallelization of Weighted Sequence Comparison by using EBWT will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-595667