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Real-time out-of-core visualization of particle traces

Real-time out-of-core visualization of particle traces

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ieee symposium on parallel and large-data visualization and graphics

作者： Bruckschen, R Kuester, F Hamann, B Joy, KI Univ Calif Davis Ctr Image Proc & Integrated Computing Visualizat & Graph Res Grp Dept Comp Sci Davis CA 95616 USA

ISBN: (纸本)0780372239

visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. This paper presents a method suitable for the real-time visualization of arbitrarily large time-varying vector fields in virtual environments. We describe an out-of-core scheme in which two distinct pre-processing and rendering components enable real-time data streaming and visualization. The presented approach yields low-latency application start-up times and small memory footprints. The described system was used to implement a "volumetric fog lance," which can emit up to 60000 particles into a flow field while maintaining an interactive frame rate of 60 frames per second. All algorithms were specifically designed to support commodity hardware. The proof-of-concept system is running on a low-cost Linux workstation equipped with a 120GB E-IDE RAID (Redundant Array of Inexpensive! Disk) system.

关键词： particle tracing scientific visualization computational fluid dynamics out-of-core visualization virtual reality

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Reducing latency to volume visualization on PC cluster

Reducing latency to volume visualization on PC cluster

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14th Brazilian symposium on Computer graphics and Image Processing

作者： Bressan, PA Zuffo, MK Univ Sao Paulo Polytech Sch Lab Integrated Syst EPUSP Sao Paulo Brazil

ISBN: (纸本)0769513301

Volume visualization is an important tool in many scientific applications, requiring intensive processing and dealing with large amounts of data. Therefore the size of these data always exceeds the processing and visualization capacities of the conventional workstations. In this technical poster we present our working in progress about techniques of data prefetching and data prediction to volume visualization on low cost PC clusters. Our approach is based on the Distributed Shared Memory (DSM) paradigm [3], which one can greatly facilitate the parallel programming efforts on volume visualization applications.

关键词： parallel volume visualization PC cluster DSM data prefetching data prediction

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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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Comparison of remote visualization strategies for interactive exploration of large data sets 15

Comparison of remote visualization strategies for interactiv...

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15th International parallel and Distributed Processing symposium, IPDPS 2001

作者： Freitag, L.A. Loy, R.M. Mathematics and Computer Science Division Argonne National Laboratory ArgonneIL60439 United States ASCI Flash Center University of Chicago ChicagoIL60637 United States

ISBN: (纸本)0769509908

We compare three remote visualization strategies used for interactive exploration of large data sets in distributed environments: image-based rendering, parallel visualization servers, and subsampling. We review each strategy and provide details for an adaptive multiresolution subsampling technique that we have developed. To determine the regimes for which each approach is most cost-effective, we develop performance models to study the computation and communication costs associated with the common visualization task of isosurface generation. Using these models, we analyze a number of scenarios in which the hardware system configurations and task complexity change and offer general recommendations for the use of each strategy. For one particular strategy, subsampling,we further investigate the tradeoffs between multiresolution and uniform grid methods in terms of performance and approximation errors. © 2001 ieee.

关键词： visualization

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

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

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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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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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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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