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Title: ASSESSMENT OF GPU COMPUTATIONAL ENHANCEMENT TO WAVE FIELD MODELING
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ASSESSMENT OF GPU COMPUTATIONAL ENHANCEMENT TO WAVE FIELD MODELING
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1314-2704
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English
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In this paper, we present a performance assessment of the implementation of the algorithm of wave sources location using wave field modelling on a Graphics Processing Units (GPUs). The numerical algorithm of wave source location based on the acoustic wave equation was implemented using finite difference method. To achieve better wave source location, the algorithm was implemented using staggered grid meshes. The parallelization was carried out using GPU approach, established in NVIDIA?s Compute Unified Development Architecture (CUDA). Several tests have been made to establish efficiency of the proposed parallelization method. The obtained performance measurement was carried out to determine both: the scalability of a single modelling step and the entire application performance. Tests were performed not only for the different size of the computational model but also for different GPUs cards. This type of testing allowed for reliable assessment of computational enhancement of the GPU implementation of wave field modelling algorithm.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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133-140
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29 June - 5 July, 2017
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website
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cdrom
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2946
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numerical modelling; wave equation; GPU computing; parallelization
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