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

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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.
Lingua originaleEnglish
pagine (da-a)138-143
Numero di pagine6
RivistaMathematical and Computer Modelling
Volume51
Stato di pubblicazionePublished - 2010

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Velocity Field
Numerical methods
Vector Field
Numerical Methods
Quasi-interpolants
Multiprocessor Systems
Data Transfer
Data transfer
Parallel Processing
Balancing
Parallelism
Mathematical operators
Distributed Systems
Processing
Operator
Estimate

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications

Cita questo

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title = "Exploring parallel capabilities of an innovative numerical method for recovering image velocity vectors field",
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.",
keywords = "Image velocity vectors field, Quasi-interpolant operator, B-spline functions, Distributed multiprocessor systems",
author = "Adele Tortorici and Elisa Francomano and Cecilia Macaluso and Elena Toscano",
year = "2010",
language = "English",
volume = "51",
pages = "138--143",
journal = "Mathematical and Computer Modelling",
issn = "0895-7177",
publisher = "Elsevier Limited",

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AU - Tortorici, Adele

AU - Francomano, Elisa

AU - Macaluso, Cecilia

AU - Toscano, Elena

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Image velocity vectors field, Quasi-interpolant operator, B-spline functions, Distributed multiprocessor systems

UR - http://hdl.handle.net/10447/53772

M3 - Article

VL - 51

SP - 138

EP - 143

JO - Mathematical and Computer Modelling

JF - Mathematical and Computer Modelling

SN - 0895-7177

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