People in different places talk about different things. This interest distribution is reflected by the newspaper articles circulated in a particular area. We use data from our large-scale newspaper analysis system (Ly...
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People in different places talk about different things. This interest distribution is reflected by the newspaper articles circulated in a particular area. We use data from our large-scale newspaper analysis system (Lydia) to make entity datamaps, a spatial visualization of the interest in a given named entity. Our goal is to identify entities which display regional biases. We develop a model of estimating the frequency of reference of an entity in any given city from the reference frequency centered in surrounding cities, and techniques for evaluating the spatial significance of this distribution.
We present a system for interactively rendering large, unstructured grids. Our approach is to voxelize the grid into a 3D voxel octree, and then to render the data using hierarchical, 3D texture mapping. This approach...
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ISBN:
(纸本)0780376412
We present a system for interactively rendering large, unstructured grids. Our approach is to voxelize the grid into a 3D voxel octree, and then to render the data using hierarchical, 3D texture mapping. This approach leverages the current 3D texture mapping PC hardware for the problem of unstructured grid rendering. We specialize the 3D texture octree to the task of rendering unstructured grids through a novel pad and stencil algorithm, which distinguishes between data and non-data voxels. Both the voxelization and rendering processes efficiently manage large, out-of-core datasets. The system manages cache usage in main memory and texture memory, as well as bandwidths among disk, main memory, and texture memory. It also manages rendering load to achieve interactivity at all times. It maximizes a quality metric for a desired level of interactivity. It has been applied to a number of largedata and produces high quality images at interactive, user-selectable frame rates using standard PC hardware.
Current practice in particle visualization renders particle position data directly onto the screen as points or glyphs. Using a camera placed at a fixed position, particle motions can be visualized by rendering trajec...
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Current practice in particle visualization renders particle position data directly onto the screen as points or glyphs. Using a camera placed at a fixed position, particle motions can be visualized by rendering trajectories or by animations. Applying such direct techniques to large, time dependent particle data sets often results in cluttered images in which the dynamic properties of the underlying system are difficult to interpret. In this case study we take an alternative approach to the visualization of ion motions. Instead of rendering ion position data directly, we first extract meaningful motion information from the ion position data and then map this information onto geometric primitives. Our goal is to produce high-level visualizations that reflect the physicists' way of thinking about ion dynamics. Parameterized geometric icons are defined to encode motion information of clusters of related ions. In addition, a parameterized camera control mechanism is used to analyze relative instead of only absolute ion motions. We apply the techniques to simulations of Fourier transform mass spectrometry (FTMS) experiments. The data produced by such simulations can amount to 5(.)10(4) ions and 10(5) tmesteps. This paper discusses the requirements, design and informal evaluation of the implemented system.
Information diffusion by social network occurs when a large number of users are involved in the *** dynamic model has been proved to be an effective method to visualize such *** dynamic model is extremely time-consumi...
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ISBN:
(纸本)9781509036202
Information diffusion by social network occurs when a large number of users are involved in the *** dynamic model has been proved to be an effective method to visualize such *** dynamic model is extremely time-consuming for large scale *** Processing Units(GPU),originally designed for graphics,texture and pixels rendering,now provide computational power for scientific *** this paper,we use the CUDA toolkit to improve the fluid dynamic model(FDM) for higher *** GPU acceleration,the FDM approach provides an real-time visualization.
The development of supercomputers has successfully helped us to carry on complicated simulation with exploded size of dataset. For visualizing such kind of large-scale dataset, reducing the data size by using compress...
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ISBN:
(纸本)9781479928736
The development of supercomputers has successfully helped us to carry on complicated simulation with exploded size of dataset. For visualizing such kind of large-scale dataset, reducing the data size by using compression methods is one of the most useful approach. Moreover, parallelization of compression algorithm can greatly improve the efficiency and resolve the limitation of memory size. However, in parallel compression algorithm, interprocessor communication is indispensable, while it is also a bottleneck problem, especially for the general cases that the number of processors is not power-of-two. parallel POD (proper orthogonal decomposition) compression algorithm [2] is such an example, the number of time steps must be power-of-two for the binary swap scheme. A method that can fully resolve this problem with low computational cost will be very popular. In this paper, we proposed such an approach called 2-3-4 combination approach, which can be simply implemented and also reach high performance of parallel computing algorithms. Furthermore, our method can obtain the best balance among all parallel computing processors. This is achieved by transferring the non-power-of-two problem into power-of-two problem to fully use the best balance feature of binary swap method. We evaluate our approach through applying it to the parallel POD compression algorithm on the K computer.
The capability to visualize large volume datasets has applications in a myriad of scientific fields. This paper presents a largedatavisualization solution in the form of distributed, multiresolution, progressive pro...
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In this paper, we propose a novel splatting framework for clutter reduction and pattern revealing in parallel coordinates. Our framework consists of two major components: a polyline splatter for cluster detection and ...
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In this paper, we propose a novel splatting framework for clutter reduction and pattern revealing in parallel coordinates. Our framework consists of two major components: a polyline splatter for cluster detection and a segment splatter for clutter reduction. The cluster detection is performed by splatting the lines one by one into the parallel coordinates plots, and for each splatted line we enhance its neighboring lines and suppress irrelevant ones. To reduce visual clutter caused by line crossings and overlappings in the clustered results, we provide a segment splatter which represents each polyline by one segment and splats these segments with different speeds, colors, and lengths from the leftmost axis to the rightmost axis. Users can interactively control both the polyline splatting and the segment splatting processes to emphasize the features they are interested in. The experimental results demonstrate that our framework can effectively reveal some hidden patterns in parallel coordinates.
In this paper, we develop a method to encapsulate and embed interactive 3D volume rendering into the standard web Document Object Model (DOM). The package we implemented for this work is called Tapestry. Using Tapestr...
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ISBN:
(纸本)9781538606179
In this paper, we develop a method to encapsulate and embed interactive 3D volume rendering into the standard web Document Object Model (DOM). The package we implemented for this work is called Tapestry. Using Tapestry, data-intensive and interactive volume rendering can be easily incorporated into web pages. For example, we can enhance a Wikipedia page on supernova to contain several interactive 3D volume renderings of supernova volume data. There is no noticeable slowdown during the page load by the web browser. A user can choose to interact with any of the volume renderings of supernova at will. We refer to each embedded 3D visualization as a hyperimage. Hyperimages depend on scalable server-side support where volume rendering jobs are performed and managed elastically. We show the minimal code change required to embed hyperimages into previously static web pages. We also demonstrate the supporting Tapestry server's scalability along several dimensions: web page complexity, rendering complexity, frequency of rendering requests, and number of concurrent sessions. Using solely standard open-source components, this work proves that it is now feasible to make volume rendering a scalable web service that supports a diverse audience with varying use cases.
larger, higher resolution displays can be used to increase the scalability of information visualizations. But just how much can scalability increase using larger displays before hitting human perceptual or cognitive l...
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larger, higher resolution displays can be used to increase the scalability of information visualizations. But just how much can scalability increase using larger displays before hitting human perceptual or cognitive limits? Are the same visualization techniques that are. good on a single monitor also the techniques that are best when they are scaled up using large, high-resolution displays? To answer these questions we performed a controlled experiment on user performance time, accuracy, and subjective workload when scaling up data quantity with different space-time-attribute visualizations using a large, tiled display. Twelve college students used small multiples, embedded bar matrices, and embedded time-series graphs either on a 2 megapixel (Mp) display or with data scaled up using a 32 Mp tiled display. Participants performed various overview and detail tasks on geospatially-referenced multidimensional time-series data. Results showed that current designs are perceptually scalable because they result in a decrease in task completion time when normalized per number of data attributes along with no decrease in accuracy. It appears that, for the visualizations selected for this study, the relative comparison between designs is generally consistent between display sizes. However, results also suggest that encoding is more important on a smaller display while spatial grouping is more important on a larger display. Some suggestions for designers are provided based on our experience designing visualizations for large displays.
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