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AuthorAbbas, Mostafa M.
AuthorMalluhi, Qutaibah M.
AuthorBalakrishnan, P.
Available date2024-07-17T07:14:46Z
Publication Date2014
Publication NameProceedings - IEEE 13th International Symposium on Parallel and Distributed Computing, ISPDC 2014
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ISPDC.2014.27
URIhttp://hdl.handle.net/10576/56759
AbstractThe motif finding problem is a key step for understanding the gene regulation and expression, drug design, disease resistance, etc. Many sequential algorithms have been proposed in the literature to find the exact motifs. Voting algorithm is one such memory and time efficient sequential solution for motif finding. In this paper, we develop a parallel version of CVoting algorithm realized using openMP. The paper evaluates this parallel algorithm on a multi-core architecture using both simulated and real datasets. The paper compares the performance against existing multi-core implementations. Our experiments show that, the scalability of our implementation is linear for all challenging instances running on different number of processors, while the scalability of other implementations varies with respect to motif length or the number of processors. The average efficiency of our parallel implementations for all instances is more than 90%.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectchallenging instances
motif finding
multi-core
Voting algorithm
TitleScalable multi-core implementation for motif finding problem
TypeConference Paper
Pagination178-183
dc.accessType Abstract Only


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