11038
Pawel Topa, Pawel Mlocek
Graphics processors (GPU – Graphic Processor Units) recently have gained a lot of interest as an efficient platform for general-purpose computation. Cellular Automata approach which is inherently parallel gives the opportunity to implement high performance simulations. This paper presents how shared memory in GPU can be used to improve performance for Cellular Automata models. In […]
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Yannick Verdie, Florent Lafarge
Point processes constitute a natural extension of Markov Random Fields (MRF), designed to handle parametric objects. They have shown efficiency and competitiveness for tackling object extraction problems in vision. Simulating these stochastic models is however a difficult task. The performances of the existing samplers are limited in terms of computation time and convergence stability, especially […]
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Hira Narang, Fan Wu, Aswad Abdul Shakur
Nowadays, a heat and mass transfer simulation plays an important role in various engineering and industrial fields. To analyze physical behaviors of a thermal environment, we have to simulate heat and mass transfer phenomena. However to obtain numerical solutions to heat and mass transfer equations is much time-consuming. In this paper, therefore, one of acceleration […]
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Yannick Verdie, Florent Lafarge
Point processes have demonstrated efficiency and competitiveness when addressing object recognition problems in vision. However, simulating these mathematical models is a difficult task, especially on large scenes. Existing samplers suffer from average performances in terms of computation time and stability. We propose a new sampling procedure based on a Monte Carlo formalism. Our algorithm exploits […]
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Cagdas Bilen, Yao Wang, Ivan Selesnick
Magnetic Resonance Imaging (MRI) is one of the fields that the compressed sensing theory is well utilized to reduce the scan time significantly leading to faster imaging or higher resolution images. It has been shown that a small fraction of the overall measurements are sufficient to reconstruct images with the combination of compressed sensing and […]
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P. H. Hauschildt, E. Baron
AIMS: We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing. METHODS: We implemented the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the horizontal (x,y) plane, including the construction of the nearest neighbor ^* and the operator splitting step. […]
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Li Yao, Dong-xiao Li, Jing Zhang, Liang-hao Wang, Ming Zhang
This paper deals with a novel stereo algorithm that can generate accurate dense disparity maps at real-time rate. The algorithm employs an effective cross-based variable support aggregation strategy within a scanline optimization framework. Rather than matching intensities directly, the use of adaptive support aggregation allows for precisely handling the weak textured regions as well as […]
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Katharina Hennebohl, Marius Appel, Edzer Pebesma
Prediction of environmental phenomena at non-observed locations is a fundamental task in geographic information science. Often, samples are taken at a limited number of sensor locations and spatial and spatio-temporal interpolation is used to generate continuous maps. The computational cost of the underlying algorithms usually grows with the number of data entering the interpolation and […]
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Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
Frequent itemset mining from uncertain databases is different from conventional one in the sense that it needs to take into account uncertainty. To this end, some methods have already been proposed, but their performances are not satisfactory. Meanwhile, GPGPU (General Purpose computing on GPU) have recently been an interesting research subject in the field of […]
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Diogo Strube de Lima, Henry Braun, Soraia Raupp Musse
This paper presents a procedural model for ocean breaking waves in real time. Since the growth of digital games, more ocean, coast and beach scenarios have appeared, but these games rarely use breaking waves. The model proposed in this paper aims to animate waves with minimal graphic processing unit (GPU) and computer processing unit (CPU) […]
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Zhan Yuan, Guodong Rong, Xiaohu Guo, Wenping Wang
We study the problem of using the GPU to compute the generalized Voronoi diagram (GVD) for higher-order sites, such as line segments and curves. This problem has applications in many fields, including computer animation, pattern recognition and so on. A number of methods have been proposed that use the GPU to speed up the computation […]
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Peter H. Hauschildt, E. Baron
We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing. We implement the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the horizontal $(x,y)$ plane, including the construction of the nearest neighbor $Lstar$ and the operator splitting step. We present […]
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