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检索条件"任意字段=IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, PVG 2003"

共 54 条记录，以下是31-40 订阅

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Accuracy-based sampling and reconstruction with adaptive grid for parallel hierarchical tetrahedrization 03

Accuracy-based sampling and reconstruction with adaptive gri...

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2003 Eurographics/ieee TVCG Workshop on Volume graphics, VG '03

作者： Tanaka, Hiromi T. Takama, Yasufumi Wakabayashi, Hiroki Computer Vision Laboratory Department of Computer Science Ritsumeikan University Noji-Higashi 1chome 1-1 Kusatsu Shiga 525-8577 Japan

ISBN: (纸本)1581137451

Recent advances in volume scanning techniques have made the task of acquiring volume data of 3-D objects easier and more accurate. Since the quantity of such acquired data is generally very large, a volume model capable of compressing data while maintaining a specified accuracy is required. The objective of this work is to construct a multi resolution tetrahedra representation of input volume data. This representation adapts to local field properties while preserving their discontinuities. In this paper, we present an accuracy-based adaptive sampling and reconstruction technique, we call an adaptive grid, for hierarchical tetrahedrization of C1 continuous volume data. We have developed a parallel algorithm of adaptive grid generation that recursively bisects tetrahedra gird elements by increasing the number of grid nodes, according to local field properties and such as orientation and curvature of isosurfaces, until the entire volume has been approximated within a specified level of view-invariant accuracy. We have also developed a parallel algorithm that detects and preserves both C0 and C1 discontinuities of field values, without the formation of cracks which normally occur during independent subdivision. Experimental results demonstrate the validity and effusiveness of the proposed approach. © The Eurographics Association 2003.

关键词： parallel algorithms

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An application architecture for large data visualization: a case study

An application architecture for large data visualization: a ...

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： C.C. Law A. Henderson J. Ahrens Kitware Incorporated Kitware Incorporated USA Los Alamos National Laboratory USA

We present an open-source visualization application with a data-parallel application architecture. The architecture is unique because is uses the Tcl scripting language to synchronize the user interface with the visualization ToolKit (VTK) parallel visualization pipeline and parallel-rendering module. The resulting application shows scalable performance, and is easily extendable because of its simple modular architecture. We demonstrate the application with a 9.8 gigabyte structured-grid ocean model.

关键词： data visualization Computer aided software engineering Pipelines Computational modeling Application software Oceans Laboratories Open source software Libraries Geometry

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Sort-last parallel rendering for viewing extremely large data sets on tile displays

Sort-last parallel rendering for viewing extremely large dat...

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： K. Moreland B. Wylie C. Pavlakos Sandia National Laboratories USA

Due to the impressive price-performance of today's PC-based graphics accelerator cards, Sandia National Laboratories is attempting to use PC clusters to render extremely large data sets in interactive applications. This paper describes a sort-last parallel rendering system running on a PC cluster that is capable of rendering enormous amounts of geometry onto high-resolution tile displays by taking advantage of the spatial coherency that is inherent in our data. Furthermore, it is capable of scaling to larger sized input data or higher resolution displays by increasing the size of the cluster. Our prototype is now capable of rendering 120 million triangles per second on a 12 mega-pixel display.

关键词： Tiles Rendering (computer graphics) Computer graphics Computer displays Hardware Computational modeling Laboratories Energy resolution Spatial resolution data visualization

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parallelizing a high accuracy hardware-assisted volume renderer for meshes with arbitrary polyhedra

Parallelizing a high accuracy hardware-assisted volume rende...

引用

ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： J. Bennett R. Cook N. Max D. May P. Williams Lawrence Livemore National Laboratory USA University of California 슠Davis USA University of California Davis USA

Discusses our efforts to improve the performance of the high-accuracy (HIAC) volume rendering system, based on cell projection, which is used to display unstructured, scientific data sets for analysis. The parallelization of HIAC, using Pthreads and MPI API's, resulted in significant speedup, but interactive frame rates are not yet attainable for very large data sets.

关键词： Sorting Rendering (computer graphics) graphics Hardware Testing Displays data analysis Performance analysis data visualization Casting

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Jupiter: a toolkit for interactive large model visualization

Jupiter: a toolkit for interactive large model visualization

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： D. Bartz D. Staneker W. Strasser B. Cripe T. Gaskins K. Orton WSI/GRIS University of Tübingen Germany Hewlett-Packard Company Corvallis OR USA

The fast increasing size of datasets in scientific computing, mechanical engineering, or virtual medicine is quickly exceeding the graphics capabilities of modern computers. Toolkits for the large model visualization address this problem by combining efficient geometric techniques, such as occlusion and visibility culling, mesh reduction, and efficient rendering. We introduce Jupiter, a toolkit for the interactive visualization of large models which exploits the above mentioned techniques. Jupiter was originally developed by Hewlett-Packard and EAI, and it has been equipped with new functionality by the University of Tubingen, as being part, of the Kelvin project. An initial version of Jupiter has been released as open source.

关键词： Jupiter data visualization Rendering (computer graphics) Biomedical imaging Computer graphics Solid modeling Scientific computing Mechanical engineering Packaging parallel processing

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Scalable isosurface visualization of massive datasets on COTS clusters

Scalable isosurface visualization of massive datasets on COT...

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： Xiaoyu Zhang C. Bajaj W. Blanke Department of Computer Sciences and Center for Computational Visualization TICAM USA Department of Electrical and Computer Engineering University of Texas Austin USA

Our scalable isosurface visualization solution on a commodity off-the-shelf (COTS) cluster is an end-to-end parallel and progressive platform, from the initial data access to the final display. We focus on the back end scalability by introducing a fully parallel and out-of-core isosurface extraction algorithm. It partitions the volume data according to its workload spectrum for load balancing and creates an I/O-optimal external interval tree to minimize the number of I/O operations of loading large data from disk. It achieves scalability by using both parallel processing and parallel disks. Interactive browsing of extracted isosurfaces is made possible by using parallel isosurface extraction and rendering in conjunction with a specialized piece of image compositing hardware called the Metabuffer. We also describe an isosurface compression scheme that is efficient for isosurface processing.

关键词： Isosurfaces data mining data visualization Scalability Displays Clustering algorithms Partitioning algorithms Load management parallel processing Rendering (computer graphics)

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Multiresolution view-dependent splat based volume rendering of large irregular data

Multiresolution view-dependent splat based volume rendering ...

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： J. Meredith Kwan-Liu Ma Lawrence Livemore National Laboratory Livermore CA USA Department of Computer Science University of California Davis USA

We present techniques for multiresolution approximation and hardware-assisted splat based rendering to achieve interactive volume visualization of large irregular data sets. We examine two methods of generating multiple resolutions of irregular volumetric grids and a data structure supporting the splatting approach for volume rendering. These techniques are implemented in combination with a view-dependent error based resolution selection to maintain accuracy at both low and high zoom levels. In addition, the error tolerance may be adjusted at run time to obtain the desired balance between high frame rates and accurate rendering. Along with an effective way to compute gradients for lighting, we offer an integrated solution for interactive volume rendering of irregular-mesh or meshless data, and we demonstrate our technique on unstructured-grid data sets from aerodynamic flow simulations.

关键词： data visualization large-scale systems Computational modeling Rendering (computer graphics) Hardware Laboratories Concurrent computing graphics Mesh generation data structures

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parallel point reprojection

Parallel point reprojection

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： E. Reinhard P. Shirley C. Hansen University of Utah USA

Improvements in hardware have recently made interactive ray tracing practical for some applications. However, when the scene complexity or rendering algorithm cost is high, the frame rate is too low in practice. Researchers have attempted to solve this problem by caching results from ray tracing and using these results in multiple frames via re-projection. However, the re-projection can become too slow when the number of samples that are reused is high, so previous systems have been limited to small images or a sparse set of computed pixels. To overcome this problem we introduce techniques to perform this re-projection in a scalable fashion on multiple processors.

关键词： Rendering (computer graphics) Ray tracing Layout Displays Clouds Concurrent computing Hardware Costs Pixel Chromium

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parallel view-dependent isosurface extraction using multi-pass occlusion culling

Parallel view-dependent isosurface extraction using multi-pa...

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： Jinzhu Gao Han-Wei Shen Department of Computer and Information Science Ohio State Uinversity Columbus OH USA

Presents a parallel algorithm that can effectively extract only the visible portion of isosurfaces. The main focus of our research is to devise a load-balanced and output-sensitive algorithm, that is, each processor will generate approximately the same amount of triangles, and cells that do not contain the visible isosurface will not be visited. A multi-pass algorithm is proposed to achieve these goals. In the algorithm, we first use an octree data structure to rapidly skip the empty cells. An image space visibility culling technique is then used to identify the visible isosurface cells in a progressive manner. To distribute the workload, we use a binary image space partitioning method to ensure that each processor will generate approximately the same amount of triangles. Isosurface extraction and visibility update are performed in parallel to reduce the total computation time. In addition to reducing the size of output geometry and accelerating the process of isosurface extraction, the multi-pass nature of our algorithm can also be used to perform time-critical computation.

关键词： Isosurfaces data mining Concurrent computing Partitioning algorithms Acceleration Computer graphics Clustering algorithms data structures Hardware large-scale systems

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Delaunay based shape reconstruction from large data

Delaunay based shape reconstruction from large data

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ieee symposium on parallel and large-data visualization and graphics (pvg)

作者： T.K. Dey J. Giesen J. Hudson Ohio State Uinversity Columbus OH USA

ISBN: (纸本)0780372239

Surface reconstruction provides a powerful paradigm for modeling shapes from samples. For point cloud data with only geometric coordinates as input, Delaunay based surface reconstruction algorithms are shown to be quite effective both in theory and practice. However, a major complaint against Delaunay based methods is that they are slow and cannot handle large data. We extend the COCONE algorithm to handle supersize data. This is the first reported Delaunay based surface reconstruction algorithm that can handle data containing more than a million sample points on a modest machine.

关键词： Shape Surface reconstruction Solid modeling Reconstruction algorithms Mesh generation Robustness Hardware Clouds Computational geometry data visualization

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