The Experts below are selected from a list of 72540 Experts worldwide ranked by ideXlab platform
Hank Childs - One of the best experts on this subject based on the ideXlab platform.
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Research Challenges for Visualization Software
2014Co-Authors: Hank ChildsAbstract:Research Challenges for Visualization Software Hank Childs 1 , Berk Geveci and Will Schroeder 2 , Jeremy Meredith 3 , Kenneth Moreland 4 , Christopher Sewell 5 , Torsten Kuhlen 6 , E. Wes Bethel 7 May 2013 University of Oregon and Lawrence Berkeley National Laboratory Kitware, Inc. Oak Ridge National Laboratory Sandia National Laboratories Los Alamos National Laboratory RWTH Aachen University, Germany Lawrence Berkeley National Laboratory i
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Research Challenges for Visualization Software
Computer, 2013Co-Authors: Hank Childs, Will Schroeder, Christopher Sewell, Torsten Kuhlen, Berk Geveci, Kenneth Moreland, Jeremy Meredith, Wes E. BethelAbstract:As the Visualization research community reorients its Software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.
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extreme scaling of production Visualization Software on diverse architectures
IEEE Computer Graphics and Applications, 2010Co-Authors: Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Gunther H Weber, Wes E. BethelAbstract:This article presents the results of experiments studying how the pure-parallelism paradigm scales to massive data sets, including 16,000 or more cores on trillion-cell meshes, the largest data sets published to date in the Visualization literature. The findings on scaling characteristics and bottlenecks contribute to understanding how pure parallelism will perform in the future.
Wes E. Bethel - One of the best experts on this subject based on the ideXlab platform.
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Research Challenges for Visualization Software
Computer, 2013Co-Authors: Hank Childs, Will Schroeder, Christopher Sewell, Torsten Kuhlen, Berk Geveci, Kenneth Moreland, Jeremy Meredith, Wes E. BethelAbstract:As the Visualization research community reorients its Software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.
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extreme scaling of production Visualization Software on diverse architectures
IEEE Computer Graphics and Applications, 2010Co-Authors: Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Gunther H Weber, Wes E. BethelAbstract:This article presents the results of experiments studying how the pure-parallelism paradigm scales to massive data sets, including 16,000 or more cores on trillion-cell meshes, the largest data sets published to date in the Visualization literature. The findings on scaling characteristics and bottlenecks contribute to understanding how pure parallelism will perform in the future.
Jie Xiong - One of the best experts on this subject based on the ideXlab platform.
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design and develop the 3d seismic data Visualization Software based on vtk and qt
International Journal of Research, 2017Co-Authors: Jie XiongAbstract:Seismic exploration is an important method for the oil-gas exploration. The Visualization of 3D seismic data can help geophysicists to find the oil-gas resources more effective. In order to develop a Visualization Software which can run on the Windows and Linux, and rendering the 3D data effectively, we choose the QT framework and Visualization Toolkit (VTK). The source code is managed by the CMake, which helps to migrate the Software from Windows to Linux smoothly. We choose the ray casting algorithm to accelerate the 3D volume rendering. The Software is developed successfully, and tested. The test result shows the QT framework and VTK can be used to develop a 3D Visualization Software with the characteristic of cross-platform.
Xiang Yang Tang - One of the best experts on this subject based on the ideXlab platform.
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Accuracy and efficiency of computer-aided anatomical analysis using 3D Visualization Software based on semi-automated and automated segmentations
Annals of Anatomy, 2017Co-Authors: Gao An, Xiao Bing Zhou, Mei Qing Li, Qiong Yang, Li Hong-zh, Xiang Yang TangAbstract:Objective We investigated and compared the functionality of two 3D Visualization Software provided by a CT vendor and a third-party vendor, respectively. Using surgical anatomical measurement as baseline, we evaluated the accuracy of 3D Visualization and verified their utility in computer-aided anatomical analysis. Methods The study cohort consisted of 50 adult cadavers fixed with the classical formaldehyde method. The computer-aided anatomical analysis was based on CT images (in DICOM format) acquired by helical scan with contrast enhancement, using a CT vendor provided 3D Visualization workstation (Syngo) and a third-party 3D Visualization Software (Mimics) that was installed on a PC. Automated and semi-automated segmentations were utilized in the 3D Visualization workstation and Software, respectively. The functionality and efficiency of automated and semi-automated segmentation methods were compared. Using surgical anatomical measurement as a baseline, the accuracy of 3D Visualization based on automated and semi-automated segmentations was quantitatively compared. Results In semi-automated segmentation, the Mimics 3D Visualization Software outperformed the Syngo 3D Visualization workstation. No significant difference was observed in anatomical data measurement by the Syngo 3D Visualization workstation and the Mimics 3D Visualization Software (P > 0.05). Conclusions Both the Syngo 3D Visualization workstation provided by a CT vendor and the Mimics 3D Visualization Software by a third-party vendor possessed the needed functionality, efficiency and accuracy for computer-aided anatomical analysis.
Berk Geveci - One of the best experts on this subject based on the ideXlab platform.
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Research Challenges for Visualization Software
Computer, 2013Co-Authors: Hank Childs, Will Schroeder, Christopher Sewell, Torsten Kuhlen, Berk Geveci, Kenneth Moreland, Jeremy Meredith, Wes E. BethelAbstract:As the Visualization research community reorients its Software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.
