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dc.contributor.authorGunawan, Teddy Surya
dc.contributor.authorAmbikairajah, Eliathamby
dc.date.accessioned2012-10-10T09:11:29Z
dc.date.available2012-10-10T09:11:29Z
dc.date.issued2012-02-27
dc.identifier.citationp. 165-168en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178998
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21294
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractHigh processing time is required to classify genomic sequences and to identify protein coding of a DNA sequence. While computer performance has been driven largely by decreasing the size of chips while increasing the number of transistors they contain, the current computing trend is multicore system in which two or more independent cores are integrated into a single package. This paper presents the parallel implementation of the gene and exon identification of DNA sequences using the previously developed modified Gabor wavelet transform on multicore systems. Single Program Multiple Data (SPMD) parallel paradigm will be used in the parallel implementation. Furthermore, the efficiency of the proposed algorithm will be analyzed using Amdahl’s law.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectGenomic signal processingen_US
dc.subjectGene predictionen_US
dc.subjectSingle Program Multiple Data (SPMD)en_US
dc.subjectMulticore systemen_US
dc.subjectAmdahl's lawen_US
dc.titleParallel implementation of genomic sequences classification using modified Gabor wavelet transform on multicore systemsen_US
dc.typeWorking Paperen_US
dc.contributor.urltsgunawan@iium.edu.myen_US
dc.contributor.urle.ambikairajah@unsw.edu.auen_US


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