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Case study: parallel Lagrangian visualization applied to natural convective flows

Case study: parallel Lagrangian visualization applied to nat...

引用

ieee symposium on parallel and Large-Data visualization and graphics (PVG)

作者： L.M. de la Cruz I. Garcia V. Godoy E. Ramos Dirección de Cómputo para la Investigación DGSCA Universidad Nacional Auténoma de México Mexico Centro de Investigación en Energía Universidad Nacional Auténoma de México Mexico

ISBN: (纸本)0780372239

Presents a visualization technique based on particle tracking. The technique consists in defining a set of points distributed on a closed surface and following the surface deformations as the velocity field changes in time. Deformations of the surface contain information about dynamics of the flow; in particular, it is possible to identify zones where flow stretching and foldings occur. Because the points on the surface are independent of each other, it is possible to calculate the trajectory of each point concurrently. Two parallel algorithms are studied; the first one for a shared memory Origin 2000 supercomputer and the second one for a distributed memory PC cluster. The technique is applied to a fluid moving by natural convection inside a cubic container.

关键词： Computer aided software engineering Lagrangian functions visualization Particle tracking Aerodynamics Computational fluid dynamics parallel algorithms parallel programming Equations Supercomputers

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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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An application architecture for large data visualization: a case study 01

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

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Proceedings of the ieee 2001 symposium on parallel and large-data visualization and graphics

作者： C. Charles Law Amy Henderson James Ahrens Kitware Incorporated Los Alamos National Laboratory

ISBN: (纸本)9780780372238

In this case study we present an open-source visualization application with a data-parallel novel application architecture. The architecture is unique because is uses the Tcl scripting language to synchronize the user interface with the 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.

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visualization challenges for a new cyber-pharmaceutical computing paradigm

Visualization challenges for a new cyber-pharmaceutical comp...

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ieee symposium on parallel and Large-Data visualization and graphics (PVG)

作者： R.J. Turner K. Chaturvedi N.J. Edwards D. Fasulo A.L. Halpern D.H. Huson O. Kohlbacher J.R. Miller K. Reinert K.A. Remington R. Schwartz B. Walenz S. Yooseph S. Istrail Celera Genomics Corporation Rockville MD USA

ISBN: (纸本)0780372239

Celera has encountered a number of visualization problems in the course of developing tools for bioinformatics research, applying them to our data generation efforts, and making that data available to our customers. This paper presents several examples from Celera's experience. In the area of genomics, challenging visualization problems have come up in assembling genomes, studying variations between individuals, and comparing different genomes to one another. The emerging area of proteomics has created new visualization challenges in interpreting protein expression data, studying protein regulatory networks, and examining protein structure. These examples illustrate how the field of bioinformatics is posing new challenges concerning the communication of data that are often very different from those that have heretofore dominated scientific computing. Addressing the level of detail, the degree of complexity, and the interdisciplinary barriers that characterize bioinformatic problems can be expected to be a sizable but rewarding task for the field of scientific visualization.

关键词： Proteins Bioinformatics Genomics Humans Sequences Data visualization Genetics Proteomics Organisms Mice

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Case study: visualizing ocean currents with color and dithering

Case study: visualizing ocean currents with color and dither...

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ieee symposium on parallel and Large-Data visualization and graphics (PVG)

作者： P. Crossno E. Angel D. Munich Sandia National Laboratories Albuquerque NM USA Albuquerque High Performance Computing Center Department of Computer Science University of New Mexico Albuquerque NM USA Albuquerque High Performance Computing Center Albuquerque NM USA

ISBN: (纸本)0780372239

This case study presents several related approaches to visualizing flow information from large vector volumes generated by ocean circulation modeling. Flow vectors are mapped to colored pixels to enable global views of dense three-dimensional vector fields. Each of the approaches starts by classifying vector direction into a small number of colors. One approach then uses scaled linear interpolation to blend between adjacent directional colors. Two other approaches use half-toning and dithering methods to rapidly display flow information. By using opponent colors for our directional encoding, we can blend colors, either through linear interpolation or the user's visual system, into intermediate colors without expressly calculating them by a conversion to polar coordinates.

关键词： Computer aided software engineering Oceans Vectors Computational modeling Data visualization High performance computing Interpolation Encoding Computer graphics Application software

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Jupiter: a toolkit for interactive large model visualization 01

Jupiter: a toolkit for interactive large model visualization

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Proceedings of the ieee 2001 symposium on parallel and large-data visualization and graphics

作者： Dirk Bartz Dirk Staneker Wolfgang Straßer Brian Cripe Tom Gaskins Kristann Orton Michael Carter Andreas Johannsen Jeff Trom University of Tübingen Germany Hewlett-Packard Company Corvallis OR Engineering Animation Inc. Ames IA

ISBN: (纸本)9780780372238

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 *** this paper, 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 was recently equipped with new functionality by the University of Tübingen, as being part of the Kelvin project. Earlier this year, an initial version of Jupiter was also released as open source.

关键词： Visibility Large Model visualization Toolkit occlusion culling

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Case study: parallel lagrangian visualization applied to natural convective flows 01

Case study: parallel lagrangian visualization applied to nat...

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Proceedings of the ieee 2001 symposium on parallel and large-data visualization and graphics

作者： L. M. de la Cruz I. García V. Godoy E. Ramos Universidad Nacional Autönoma de México

ISBN: (纸本)9780780372238

This paper presents a visualization technique based on particle tracking. The technique consists in defining a set of points distributed on a closed surface and follow the surface deformations as the velocity field changes in time. Deformations of the surface contains information about dynamics of the flow; in particular, it is possible to identify zones where flow stretching and foldings occur. Because the points on the surface are independent each other, it is possible to calculate the trajectory of each point concurrently. Two parallel algorithms are studied; the first one for a shared memory Origin 2000 supercomputer and the second one for a distributed memory PC cluster. The technique is applied to a fluid moving by natural convection inside a cubic container.

关键词： shared distributed memory pathlines Flow visualization particle traces

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Scalable isosurface visualization of massive datasets on COTS clusters 01

Scalable isosurface visualization of massive datasets on COT...

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Proceedings of the ieee 2001 symposium on parallel and large-data visualization and graphics

作者： Xiaoyu Zhang Chandrajit Bajaj William Blanke TICAM University of Texas at Austin University of Texas at Austin

ISBN: (纸本)9780780372238

Our scalable isosurface visualization solution on a commodity off-the-shelf cluster is an end-to-end parallel and progressive platform, from the initial data access to the final display. In this paper 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 new 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： Metabuffer Multi-resolution parallel and Out-of-core Isocontouring parallel Rendering Progressive mesh

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The activity tunnel - an experiment for improved understanding of program behavior

The activity tunnel - an experiment for improved understandi...

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ieee symposium on Human Centric Computing Languages and Environments

作者： D. Kranzlmuller B. Reitinger J. Volkert GUP Linz Johannes Kepler University Linz Linz Austria/Europe

ISBN: (纸本)0780371984

Understanding a program's behavior is of major importance for software developers, especially for program analysis activities. This fact is further pushed by ever more complex applications, increasing the demand for corresponding tool support. A solution to this problem is visualization, where the multi-dimensional relations of executing programs are expressed by some means of computer graphics or related multimedia techniques. An example for a truly human-centric environment is the activity tunnel, which tries to illustrate the activity of parallel programs during execution. The central metaphor of this approach is to let the user "feel the program". This effect is aspired by 3-dimensional visualization and corresponding sound stimuli within the CAVE Virtual Reality environment.

关键词： Computer graphics Data visualization Concrete Application software Animation Protocols Curing Virtual reality Software tools Algorithm design and analysis

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Sort-last parallel rendering for viewing extremely large data sets on tile displays 01

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

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Proceedings of the ieee 2001 symposium on parallel and large-data visualization and graphics

作者： Kenneth Moreland Brian Wylie Constantine Pavlakos Sandia National Laboratories

ISBN: (纸本)9780780372238

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： Sort-Last Compositing parallel Rendering PC-Cluster Tile Display

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