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A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks
Arefin, A.S., Berretta, R. and Moscato, P.
In this paper, we present a fast and scalable method for computing eigenvector centrality using graphics processing units (GPUs). The method is designed to compute the centrality on gene-expression networks, where the network is pre-constructed in the form of kNN graphs from DNA microarray data sets.
Cite as: Arefin, A.S., Berretta, R. and Moscato, P. (2013). A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks. In Proc. Parallel and Distributed Computing 2013 (AusPDC 2013) Adelaide, Australia. CRPIT, 140. Javadi, B. and Garg, S.K. Eds., ACS. 3-12
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