![]() Currently, these kinds of applications use data whose size and amount can be very large, with high computation times needed to calculate the BC of the whole datasets. In this study we present a very efficient parallel implementation of the BC algorithm for its execution on Graphics Processing Units (GPU). Our algorithm can process 2D, 3D and 4D data and we tested it on two platforms with different hardware configurations. The results showed speedups of up to 92.38 × (2D), 57.27 × (3D) and 75.73 × (4D) with respect to the corresponding CPU single-thread implementations of the same algorithm. Against an OpenMP multi-thread CPU implementation, our GPU algorithm achieved speedups of up to 16.12 × (2D), 6.86 × (3D) and 7.49 × (4D). We have also compared our algorithm to a previous GPU implementation of the BC algorithm in 3D, achieving a speedup of up to 4.79 × . Finally, as a practical application of our GPU BC algorithm a study comparing the FD of 4D data extracted from the EEGs of a schizophrenia patient and a healthy subject was performed. The computation time for processing 40 4D matrices was reduced from three hours (sequential CPU) to less than three minutes with our GPU algorithm. 1798–1803 (2019) Please make this Ref.Iglesias-Parro is a professor (tenured) in Psychometrics at the University of Jaén (Spain), and external postdoc lecturer at the Universidad Nacional de Educación a Distancia, Madrid, (Spain). In: 6th International Conference Control, Decision and Information Technologies. Semenov, A.S.: Pattern recognition technique for synthesis fractal Petri nets. Thessaloniki, Greece (2018) Please make this Ref. In: 5th International Conference Control, Decision and Information Technologies, pp. Semenov, A.S.: Pattern-type reachability analysis of distributed systems based on fractal Petri nets. In: 4th International Conference Control, Decision and Information Technologies, pp. Peitgen, H., Jurgens, H., Saupe, D.: Chaos and Fractals. Springer, Berlin (1993) Please make this Ref. Warnecke, H.J.: The Fractal Company: A Revolution in Corporate Culture. Moscow Aviation Institute press, Moscow (in Russia) (2013) Please make this Ref. Semenov, A.S.: Simulation Self-Organised Evolution Processes: Fractoid-Oriented Approach. (eds.): Cloud Computing for Enterprise Architectures. (eds.): Cloud Computing Patterns: Fundamentals to Design, Build, and Manage Cloud Applications. Springer (1999)įehling, C., Leymann, F., Retter, R., Schupeck,W., Arbitter, P. (eds.): Prototype-Based Programming: Concepts, Languages and Applications, 1st edn. Springer Science-Business Media, LLC (2010) Prentice Hall PTR, Publisher (2005)įurht, B., Escalante, A. Addison-Wesley, Pearson Education, Inc (2007)Įrl, T.: Service-Oriented Architecture: Concepts, Technology, and Design. (eds.): Object-Oriented Analysis and Design with Applications, 3rd edn. ![]() Springer, London Limited (2010)īooch, G., Jacobson, I., Rumbaugh, J. (eds.): Cloud Computing Principles, Systems and Applications. Addison Wesley, Boston, Massachusetts (2012)Ĭrownover, R.: Introduction to Fractals and Chaos. Martin van Steen (2016)Ĭoulouris, G., Dollimore, J., Kindberg, T., Blair, G.: Distributed systems concepts and design. Tanenbaum, A.S., Steen, M.: Distributed Systems: Principles and Paradigms. Springer International Publishing AG (2017)Įrl, T., Mahmood, Z., Puttini, R.: Cloud Computing: Concepts, Technology & Architecture. (Eds.): Engineering Scalable, Elastic, and Cost-efficient Cloud Computing Applications: the Cloudscale Method. In: 10th International Conference Autonomic Computing, San Jose, CA, pp. Herbst, N.R., Kounev, S., Reussner, R.: Elasticity in cloud computing: what It is, and what it is not.
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