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检索条件"任意字段=IEEE Symposium on Parallel and Large-Data Visualization and Graphics"
1197 条 记 录,以下是221-230 订阅
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Interactive visualization of Terascale data in the Browser: Fact or Fiction?  10
Interactive Visualization of Terascale Data in the Browser: ...
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10th ieee symposium on large data Analysis and visualization (LDAV)
作者: Usher, Will Pascucci, Valerio Univ Utah SCI Inst Salt Lake City UT 84112 USA
Information visualization applications have become ubiquitous, in no small part thanks to the ease of wide distribution and deployment to users enabled by the web browser. Scientific visualization applications, relyin... 详细信息
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Enabling automatic clutter reduction in parallel coordinate plots
Enabling automatic clutter reduction in parallel coordinate ...
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ieee visualization Conference (Vis 2006)/ieee symposium on Information visualization (InfoVis 2006)
作者: Ellis, Geoffrey Dix, Alan Univ Lancaster Lancaster LA1 4YW England
We have previously shown that random sampling is an effective clutter reduction technique and that a sampling lens can facilitate focus+context viewing of particular regions. This demands an efficient method of estima... 详细信息
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visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows  30
Visualization and Analysis for Near-Real-Time Decision Makin...
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30th ieee International parallel and Distributed Processing symposium (IPDPS)
作者: Pugmire, David Kress, James Choi, Jong Klasky, Scott Kurc, Tahsin Churchill, Randy Michael Wolf, Matthew Eisenhauer, Greg Childs, Hank Wu, Kesheng Sim, Alexander Gu, Junmin Low, Jonathan Oak Ridge Natl Lab Oak Ridge TN 37830 USA Univ Oregon Eugene OR 97403 USA SUNY Stony Brook Stony Brook NY USA Princeton Plasma Phys Lab POB 451 Princeton NJ 08543 USA Georgia Inst Technol Atlanta GA 30332 USA Lawrence Berkeley Natl Lab Berkeley CA 94720 USA ASTAR Computat Resource Ctr Singapore Singapore
data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. data sources producing 10GB per second (and more) are becoming increasing... 详细信息
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parallel Peak Pruning for Scalable SMP Contour Tree Computation  6
Parallel Peak Pruning for Scalable SMP Contour Tree Computat...
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6th ieee symposium on large data Analysis and visualization (LDAV)
作者: Carr, Hamish A. Weber, Gunther H. Sewell, Christopher M. Ahrens, James P. Univ Leeds Leeds W Yorkshire England Univ Calif Davis Lawrence Berkeley Natl Lab Davis CA 95616 USA Los Alamos Natl Lab Los Alamos NM 87544 USA
As data sets grow to exascale, automated data analysis and visualisation are increasingly important, to intermediate human understanding and to reduce demands on disk storage via in situ analysis. Trends in architectu... 详细信息
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GPU-based framework for interactive visualization of SAR data
GPU-based framework for interactive visualization of SAR dat...
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2007 ieee International Geoscience and Remote Sensing symposium, IGARSS 2007
作者: Lambers, Martin Kolb, Andreas Nies, Holger Kalkuhl, Marc Institute for Vision and Graphics University of Siegen University of Siegen Department of Simulation University of Siegen
Synthetic Aperture Radar data presents specific problems for interactive visualization. The high amount of multiplicative speckle noise has to be reduced. The high dynamic range of the amplitude data must be mapped to... 详细信息
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parallel rendering of 3D AMR data on the SGI/Cray T3E  7
Parallel rendering of 3D AMR data on the SGI/Cray T3E
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7th symposium on the Frontiers of Massively parallel Computation (Frontiers 99)
作者: Ma, KL NASA Langley Res Ctr Inst Comp Applicat Sci & Engn Hampton VA 23681 USA
This paper describes work-in-progress on developing parallel visualization strategies for 3D Adaptive Mesh Refinement (AMR) data. AMR is a simple and powerful tool for modeling many important scientific and engineerin... 详细信息
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PC-Expo: A Metrics-Based Interactive Axes Reordering Method for parallel Coordinate Displays
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ieee Transactions on visualization and Computer graphics 2023年 第1期29卷 712-722页
作者: Tyagi, Anjul Estro, Tyler Kuenning, Geoff Zadok, Erez Mueller, Klaus Stony Brook University Computer Science Department New York United States Harvey Mudd College Computer Science Department ClaremontCA United States
parallel coordinate plots (PCPs) have been widely used for high-dimensional (HD) data storytelling because they allow for presenting a large number of dimensions without distortions. The axes ordering in PCP presents ... 详细信息
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parallel visualization of large-scale aerodynamics calculations: A case study on the cray T3E
Parallel visualization of large-scale aerodynamics calculati...
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1999 ieee symposium on parallel visualization and graphics, PVGS 1999
作者: Ma, Kwan-Liu Crockett, Thomas W. University of California Department of Computer Science UC Davis One Shields Avenue DavisCA95616-8562 United States NASA Langley Research Center MS 132C HamptonVA23681-2199 United States
This paper reports the performance of a parallel volume rendering algorithm for visualizing a large-scale unstructured-grid dataset produced by a three-dimensional aerodynamics simulation. This dataset, containing ove... 详细信息
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A flexible Java GPU-enhanced visualization framework and its applications
A flexible Java GPU-enhanced visualization framework and its...
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25th International symposium on Computer-Based Medical Systems (CBMS)
作者: Cheng, Ruida Senseney, Justin Pandya, Nishith McCreedy, Evan McAuliffe, Matthew J. Bokinsky, Alexandra Natl Inst Hlth Imaging Sci Lab Ctr Informat Technol Bethesda MD 20892 USA Geometr Tools Inc Chapel Hill NC USA
A flexible biomedical visualization framework implemented with Java, OpenGL, and OpenCL performs efficient volume rendering with large, multi-modal datasets. The,framework takes advantage of the parallel processing po... 详细信息
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A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections
A rank-by-feature framework for unsupervised multidimensiona...
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10th Annual ieee symposium on Information visualization (InfoVis 2004)
作者: Seo, J Shneiderman, B Univ Maryland Dept Comp Sci College Pk MD 20742 USA
Exploratory analysis of multidimensional data sets is challenging because of the difficulty in comprehending more than three dimensions. Two fundamental statistical principles for the exploratory analysis are (1) to e... 详细信息
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