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SIMD Bpriori Algorithms

Authors: F. S. Halataei; H. Haj Seyyed Javadi;

SIMD Bpriori Algorithms

Abstract

Finding meaningful patterns is one of the most investigated fields of computational biology. Generalized Center String (GCS) problem is one of the problems that were established and Bpriori Algorithms have been proposed to solve GCS. In this paper we present parallel Bpriori Algorithms based on existing approaches. These algorithms are SIMD on Cube-Connected network, where the size of alphabet set is two. We consider these algorithms theoretically. Also, time complexity is estimated based on probabilistic analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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