2014
DOI: 10.1016/j.jcp.2014.08.028
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Finite difference numerical method for the superlattice Boltzmann transport equation and case comparison of CPU(C) and GPU(CUDA) implementations

Abstract: We present a finite difference numerical algorithm for solving two dimensional spatially homogeneous Boltzmann transport equation which describes electron transport in a semiconductor superlattice subject to crossed time dependent electric and constant magnetic fields. The algorithm is implemented both in C language targeted to CPU and in CUDA C language targeted to commodity NVidia GPU. We compare performances and merits of one implementation versus another and discuss various software optimization techniques. Show more

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Cited by 9 publications
(1 citation statement)
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“…Since the AR system was lacking such a GPU, this computation had to be performed on a computer. The abovementioned CUDA API makes use of the parallelism available in a GPU [ 25 , 26 ], such as CNN operations, to speed up computations [ 27 ]. This application was developed using Qt (version 5.15) to create the Graphical User Interface (GUI), and OpenCV (version 4.5.5) was utilized to conduct US image processing and lesion segmentation.…”
Section: Methodsmentioning
confidence: 99%
“…Since the AR system was lacking such a GPU, this computation had to be performed on a computer. The abovementioned CUDA API makes use of the parallelism available in a GPU [ 25 , 26 ], such as CNN operations, to speed up computations [ 27 ]. This application was developed using Qt (version 5.15) to create the Graphical User Interface (GUI), and OpenCV (version 4.5.5) was utilized to conduct US image processing and lesion segmentation.…”
Section: Methodsmentioning
confidence: 99%