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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15528 条 记 录,以下是311-320 订阅
排序:
Parallel Distributed, GPU-Accelerated, Advanced Lighting Calculations for large-Scale Volume visualization  6
Parallel Distributed, GPU-Accelerated, Advanced Lighting Cal...
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6th ieee symposium on large data analysis and visualization (LDAV)
作者: Shih, Min Vishwanath, Venkatram Rizzi, Silvio Hereld, Mark Insley, Joseph Papka, Michael E. Uram, Thomas Ma, Kwan-Liu Univ Calif Davis Davis CA 95616 USA Argonne Natl Lab Argonne IL 60439 USA Northern Illinois Univ Argonne Natl Lab De Kalb IL 60115 USA
The benefits of applying advanced illumination models to volume visualization have been demonstrated by many researchers. For a parallel distributed, GPU computing environment, however, there is no efficient algorithm... 详细信息
来源: 评论
Narrative In Situ Visual analysis for large-Scale Ocean Eddy Evolution
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ieee COMPUTER GRAPHICS AND APPLICATIONS 2022年 第3期42卷 65-73页
作者: Han, Xiaoyang Yu, Xiaomin Li, Guan Liu, Jun Zhao, Ying Shan, Guihua Univ Chinese Acad Sci Beijing 101408 Peoples R China Cent South Univ Sch Informat Sci & Engn Changsha 410017 Peoples R China
The rapid development of high-performance computing systems has led to a rapid increase in the speed of flow field simulation calculations. However, large-scale simulation output data lead to storage bottlenecks and i... 详细信息
来源: 评论
Bandlimited OLAP Cubes for Interactive Big data visualization  5
Bandlimited OLAP Cubes for Interactive Big Data Visualizatio...
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ieee 5th symposium on large data analysis and visualization (LDAV)
作者: Reach, Caleb North, Chris Virginia Tech Blacksburg VA 24061 USA
visualizations backed by data cubes can scale to massive datasets while remaining interactive. However, the use of data cubes introduces artifacts, causing these visualizations to appear noisy at best and deceptive at... 详细信息
来源: 评论
Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes  16
Parallel Assemblies Plot, a visualization tool to explore ca...
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ieee 16th Pacific visualization symposium (ieee PacificVis)
作者: Cantu, Alma Mico-Amigo, Maria Encarna Del Din, Silvia Fernstad, Sara Johansson Newcastle Univ Sch Comp Newcastle Upon Tyne Tyne & Wear England Newcastle Univ Translat & Clin Res Inst Newcastle Upon Tyne Tyne & Wear England
This paper presents a tool enabling the visual analysis of multivariate heterogeneous data. large amounts of measured and contextual data are being gathered for a large number of applications, increasing connectivity ... 详细信息
来源: 评论
Statistical Projections for Multi-dimensional Visual data Exploration  6
Statistical Projections for Multi-dimensional Visual Data Ex...
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6th ieee symposium on large data analysis and visualization (LDAV)
作者: Nguyen, Hoa Stone, Daithi Bethel, E. Wes Univ Utah Salt Lake City UT 84112 USA Lawrence Berkeley Natl Lab Berkeley CA USA
When working with large, multidimensional and multivariate data, science users are frequently interested in understanding variation in data, as opposed to the actual data values. Our work focuses on exploring how a si... 详细信息
来源: 评论
Tracking Space-Filling Structures in Turbulent Flows  5
Tracking Space-Filling Structures in Turbulent Flows
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ieee 5th symposium on large data analysis and visualization (LDAV)
作者: Schnorr, Andrea Goebbert, Jens Henrik Kuhlen, Torsten W. Hentschel, Bernd Rhein Westfal TH Aachen Virtual Real Grp Aachen Germany Forschungszentrum Julich Julich Supercomp Ctr D-52425 Julich Germany JARA High Performance Comp Aachen Germany
We present a novel approach for tracking space-filling features, i.e. a set of features which covers the entire domain. In contrast to previous work, we determine the assignment between features from successive time s... 详细信息
来源: 评论
Out-of-Core visualization of Time-Varying Hybrid-Grid Volume data  4
Out-of-Core Visualization of Time-Varying Hybrid-Grid Volume...
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ieee symposium on large data analysis and visualization
作者: Shih, Min Zhang, Yubo Ma, Kwan-Liu Sitaraman, Jayanarayanan Mavriplis, Dimitri Univ Calif Davis Davis CA 95616 USA Univ Wyoming Laramie WY 82071 USA
Traditional computational fluid dynamics (CFD) solvers are usually written for a single gridding paradigm such as structured-Cartesian, structured-body-fitted, or unstructured grids. Each type of mesh paradigms has in... 详细信息
来源: 评论
Speculative Progressive Raycasting for Memory Constrained Isosurface visualization of Massive Volumes  13
Speculative Progressive Raycasting for Memory Constrained Is...
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13th ieee symposium on large data analysis and visualization (LDAV)
作者: Usher, Will Dyken, Landon Kumar, Sidharth Intel Luminary Cloud Mountain View CA 94035 USA Univ Illinois Chicago IL USA
New web technologies have enabled the deployment of powerful GPU-based computational pipelines that run entirely in the web browser, opening a new frontier for accessible scientific visualization applications. However... 详细信息
来源: 评论
Bridging the Gap of Network Management and Anomaly Detection through Interactive visualization
Bridging the Gap of Network Management and Anomaly Detection...
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ieee Pacific visualization symposium (PacificVis)
作者: Zhang, Tao Liao, Qi Shi, Lei Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA Chinese Acad Sci State Key Lab Comp Sci Inst Software Beijing 100864 Peoples R China
large-scale networks have become increasingly challenging to manage. It is vital for a system administrator or network manager to be able to analyze the vast amount of log data in order to detect suspicious behaviors ... 详细信息
来源: 评论
SeekAView: An Intelligent Dimensionality Reduction Strategy for Navigating High-Dimensional data Spaces  6
<i>SeekAView</i>: An Intelligent Dimensionality Reduction St...
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6th ieee symposium on large data analysis and visualization (LDAV)
作者: Krause, Josua Dasgupta, Aritra Fekete, Jean-Daniel Bertini, Enrico NYU New York NY 10003 USA Pacific Northwest Natl Lab Richland WA 99352 USA INRIA Le Chesnay France
Dealing with the curse of dimensionality is a key challenge in high-dimensional data visualization. We present SeekAView to address three main gaps in the existing research literature. First, automated methods like di... 详细信息
来源: 评论