In this paper an efficient method devoted to estimate the velocity vectors field is investigated. The method is based on a quasi-interpolant operator and involves a large amount of computation. The operations characterizing the computational scheme are ideal for parallel processing because they are local, regular and repetitive. Therefore, the spatial parallelism of the process is studied to rapidly proceed in the computation on distributed multiprocessor systems. The process has shown to be synchronous, with good task balancing and requiring a small amount of data transfer.

Francomano, E., Macaluso, C., Toscano, E., & Tortorici, A. (2010). Exploring parallel capabilities of an innovative numerical method for recovering image velocity vectors field. MATHEMATICAL AND COMPUTER MODELLING, 51(3-4), 138-143 [10.1016/j.mcm.2009.08.005].

Exploring parallel capabilities of an innovative numerical method for recovering image velocity vectors field

FRANCOMANO, Elisa;MACALUSO, Cecilia;TOSCANO, Elena;TORTORICI, Adele
2010

Abstract

In this paper an efficient method devoted to estimate the velocity vectors field is investigated. The method is based on a quasi-interpolant operator and involves a large amount of computation. The operations characterizing the computational scheme are ideal for parallel processing because they are local, regular and repetitive. Therefore, the spatial parallelism of the process is studied to rapidly proceed in the computation on distributed multiprocessor systems. The process has shown to be synchronous, with good task balancing and requiring a small amount of data transfer.
Settore MAT/08 - Analisi Numerica
Francomano, E., Macaluso, C., Toscano, E., & Tortorici, A. (2010). Exploring parallel capabilities of an innovative numerical method for recovering image velocity vectors field. MATHEMATICAL AND COMPUTER MODELLING, 51(3-4), 138-143 [10.1016/j.mcm.2009.08.005].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/53772
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