Derek T. Anderson, Robert H. Luke, James M. Keller
As the number of data points, feature dimensionality, and number of centers for clustering algorithms increase, computational tractability becomes a problem. The fuzzy c-means has a large degree of inherent algorithmic parallelism that modern CPU architectures do not exploit. Many pattern recognition algorithms can be sped up on a graphics processing unit (GPU) as long […]
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Xiaogang Jin, Shaochun Chen, Xiaoyang Mao
A computer system for interactively creating marbling textures is built on the physical model of the traditional marbling process. The approach generates marbling designs as the result of color advection in the 2D flow fields obtained by numerically solving the Navier-Stokes equations on the GPU with a multigrid solver
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S. Adams, J. Payne, R. Boppana
This paper presents a graphics processor based implementation of the Finite Difference Time Domain (FDTD), which uses a central finite differencing scheme for solving Maxwell’s equations for electromagnetics. FDTD simulations can be very computationally expensive and require thousands of CPU hours to solve on traditional general purpose processors. Modern Graphics Processing Units (GPUs) found in […]
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A. Kubias, F. Deinzer, T. Feldmann, D. Paulus, B. Schreiber, Th Brunner
We present a method that performs a rigid 2D/3D image registration efficiently on the Graphical Processing Unit (GPU). As one main contribution of this paper, we propose an efficient method for generating realistic DRRs that are visually similar to x-ray images. Therefore, we model some of the electronic post-processes of current x-ray C-arm-systems. As another […]
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Stephen F. Ingram, Stephen
We present Glimmer, a new multilevel visualization algorithm for multidimen-sional scaling designed to exploit modern graphics processing unit (GPU) hard-ware. We also present GPU-SF, a parallel, force-based subsystem used by Glim-mer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm […]
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