Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.6/3702
Título: Parallelization and implementation of methods for image reconstruction: applications in GNSS water vapor tomography
Autor: Bento, Fábio André de Oliveira
Orientador: Crocker, Paul Andrew
Fernandes, Rui Manuel da Silva
Palavras-chave: Reconstrução algébrica - Algoritmos
Paralelização - Central processing unit
Paralelização - Graphic processing unit
Reconstrução de imagem - Paralelização
Reconstrução de imagem - Métodos
Reconstrução de imagem - Vapor de água
GNSS water vapor tomography - Aplicações
Data de Defesa: 2013
Resumo: Algebraic reconstruction algorithms are iterative algorithms that are used in many area including medicine, seismology or meteorology. These algorithms are known to be highly computational intensive. This may be especially troublesome for real-time applications or when processed by conventional low-cost personnel computers. One of these real time applications is the reconstruction of water vapor images from Global Navigation Satellite System (GNSS) observations. The parallelization of algebraic reconstruction algorithms has the potential to diminish signi cantly the required resources permitting to obtain valid solutions in time to be used for nowcasting and forecasting weather models. The main objective of this dissertation was to present and analyse diverse shared memory libraries and techniques in CPU and GPU for algebraic reconstruction algorithms. It was concluded that the parallelization compensates over sequential implementations. Overall the GPU implementations were found to be only slightly faster than the CPU implementations, depending on the size of the problem being studied. A secondary objective was to develop a software to perform the GNSS water vapor reconstruction using the implemented parallel algorithms. This software has been developed with success and diverse tests were made namely with synthetic and real data, the preliminary results shown to be satisfactory. This dissertation was written in the Space & Earth Geodetic Analysis Laboratory (SEGAL) and was carried out in the framework of the Structure of Moist convection in high-resolution GNSS observations and models (SMOG) (PTDC/CTE-ATM/119922/2010) project funded by FCT.
URI: http://hdl.handle.net/10400.6/3702
Designação: Dissertação apresentada à Universidade da Beira Interior para a obtenção do grau de Mestre em Engenharia Informática
Aparece nas colecções:FE - DI | Dissertações de Mestrado e Teses de Doutoramento

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