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Parallel cell projection rendering of adaptive mesh refinement data

Parallel cell projection rendering of adaptive mesh refineme...

引用

IEEE Symposium on Parallel and Large-Data Visualization and Graphics (PVG)

作者： G.H. Weber M. Ohler O. Kreylos J.M. Shalf E.W. Bethel B. Hamann G. Scheuermann Visualization Group National Energy Research Scientific Computing Center (NERSC) Lawrence Berkeley National Laboratory Berkeley CA USA AG Graphische Datenverabeitung und Computergeometrie FB Informatik University of Kaiserslautern Kaiserslautern Germany Center for Image Processing and Integrated Computing Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA

Adaptive mesh refinement (AMR) is a technique used in numerical simulations to automatically refine (or de-refine) certain regions of the physical domain in a finite difference calculation. AMR data consists of nested hierarchies of data grids. As AMR visualization is still a relatively unexplored topic, our work is motivated by the need to perform efficient visualization of large AMR data sets. We present a software algorithm for parallel direct volume rendering of AMR data using a cell-projection technique on several different parallel platforms. Our algorithm can use one of several different distribution methods, and we present performance results for each of these alternative approaches. By partitioning an AMR data set into blocks of constant resolution and estimating rendering costs of individual blocks using an application specific benchmark, it is possible to achieve even load balancing.

关键词： Adaptive mesh refinement Data visualization Rendering (computer graphics) Spatial resolution Partitioning algorithms Load management Parallel programming Graphics Physics computing Computational efficiency

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Hierarchical clustering for unstructured volumetric scalar fields

Hierarchical clustering for unstructured volumetric scalar f...

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IEEE Conference on Visualization

作者： C.S. Co B. Heckel Hagen H B. Hamann K.I. Joy Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis USA Plumtree Software Inc. University of Kaiserslautern Germany

We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate a multiresolution representation of a given volumetric scalar data set. The method uses principal component analysis (PCA) for cluster generation and a fitting technique based on radial basis functions (RBFs). Once the cluster hierarchy has been generated, we utilize a variety of techniques for extracting different levels of detail. The main strength of this work is its generality. Regardless of grid type, this method can be applied to any discrete scalar field representation, even one given as a "point cloud".

关键词： Data mining computer graphics Data visualization Principal component analysis Scattering Computational geometry Solid modeling Binary trees image processing computer science

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Interactive protein manipulation

Interactive protein manipulation

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IEEE Conference on Visualization

作者： O. Kreylos N.L. Max B. Hamann S.N. Crivelli E. Wes Bethel Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA Lawrence Berkeley National Laboratory Berkeley CA USA

We describe an interactive visualization and modeling program for the creation of protein structures "from scratch." The input to our program is an amino acid sequence - decoded from a gene - and a sequence of predicted secondary structure types for each amino acid - provided by external structure prediction programs. Our program can be used in the set-up phase of a protein structure prediction process; the structures created with it serve as input for a subsequent global internal energy minimization, or another method of protein structure prediction. Our program supports basic visualization methods for protein structures, interactive manipulation based on inverse kinematics, and visualization guides to aid a user in creating "good" initial structures.

关键词： Proteins Amino acids Sequences Visualization Chemicals Spine Predictive models Kinematics Computational biology computer graphics

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A multi-resolution data structure for two-dimensional Morse-Smale functions

A multi-resolution data structure for two-dimensional Morse-...

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IEEE Conference on Visualization

作者： P.-T. Bremer H. Edelsbrunner B. Hamann V. Pascucci Lawrence Livermore National Laboratory Center for Applied Scientific Computing Livermore CA USA Center for Image Processing and Integrated Computing University of California Davis CA USA Department of Computer Science Duke University Durham NC USA

We combine topological and geometric methods to construct a multi-resolution data structure for functions over two-dimensional domains. Starting with the Morse-Smale complex, we construct a topological hierarchy by progressively canceling critical points in pairs. Concurrently, we create a geometric hierarchy by adapting the geometry to the changes in topology. The data structure supports mesh traversal operations similarly to traditional multi-resolution representations.

关键词： Data structures Multiresolution analysis Electrostatic measurements Spatial resolution Solid modeling Data analysis image processing computer science Scientific computing Laboratories

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Scalable self-orienting surfaces: a compact, texture-enhanced representation for interactive visualization of 3D vector fields

Scalable self-orienting surfaces: a compact, texture-enhance...

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Pacific Conference on computer Graphics and Applications

作者： G. Schussman Kwan-Liu Ma Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA

This paper presents a study of field line visualization techniques. To address both the computational and perceptual issues in visualizing large scale, complex, dense field line data commonly found in many scientific applications, a new texture-based field line representation which we call self-orienting surfaces is introduced This scalable representation facilitates hardware-accelerated rendering and incorporation of various perceptually-effective techniques, resulting in intuitive visualization and interpretation of the data under study. An electromagnetic data set obtained from accelerator modeling and a fluid flow data set from aerodynamics modeling are used for evaluation and demonstration of the techniques.

关键词： Surface texture Data visualization Fluid flow Streaming media Computational modeling Humans Concurrent computing Physics computing Visual perception Convergence

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Exploring scalar fields using critical isovalues

Exploring scalar fields using critical isovalues

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IEEE Conference on Visualization

作者： G.H. Weber G. Scheuermann H. Hagen B. Hamann AG Graphische Datenverarbeitung und Computergeometrie FB Informatik University of Kaiserslautern Germany Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis USA

Isosurfaces are commonly used to visualize scalar fields. Critical isovalues indicate isosurface topology changes: the creation of new surface components, merging of surface components or the formation of holes in a surface component. Therefore, they highlight interesting isosurface behavior and are helpful in exploration of large trivariate data sets. We present a method that detects critical isovalues in a scalar field defined by piecewise trilinear interpolation over a rectilinear grid and describe how to use them when examining volume data. We further review varieties of the marching cubes (MC) algorithm, with the intention of preserving topology of the trilinear interpolant when extracting an isosurface. We combine and extend two approaches in such a way that it is possible to extract meaningful isosurfaces even when a critical value is chosen as the isovalue.

关键词： Isosurfaces Topology Interpolation Data visualization Data mining computer graphics Table lookup image processing computer science Merging

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A Study of Transfer Function Generation for Time-Varying Volume Data 2

A Study of Transfer Function Generation for Time-Varying Vol...

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2nd IEEE TCVG / Eurographics International Workshop on Volume Graphics, VG 2001

作者： Jankun-Kelly, T.J. Ma, Kwan-Liu Visualization And Graphics Research Group Center For Image Processing And Integrated Computing University Of California Department Of Computer Science DavisCA95616 United States

ISBN: (纸本)321183737X

The proper usage and creation of transfer functions for time-varying data sets is an often ignored problem in volume visualization. Although methods and guidelines exist for time-invariant data, little formal study for the timevarying case has been performed. This paper examines this problem, and reports the study that we have conducted to determine how the dynamic behavior of time-varying data may be captured by a single or small set of transfer functions. The criteria which dictate when more than one transfer function is needed were also investigated. Four data sets with different temporal characteristics were used for our study. Results obtained using two different classes of methods are discussed, along with lessons learned. These methods, including a new multiresolution opacity map approach, can be used for semi-automatic generation of transfer functions to explore large-scale time-varying data sets. © VG 2001. All rights reserved.

关键词： Transfer functions

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A magnification lens for interactive volume visualization

A magnification lens for interactive volume visualization

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Pacific Conference on computer Graphics and Applications

作者： E. LaMar B. Hamann K.I. Joy Center for Applied Scientific Computing Lawrence Livemore National Laboratory USA Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis USA

Volume visualization of large data sets suffers from the same problem that many other visualization modalities suffer from: either one can visualize the entire data set and lose small details or visualize a small region and lose the context. The authors we present a magnification lens technique for volume visualization. While the notion of a magnification-lens is not new, and other techniques attempt to simulate the physical properties of a magnifying lens, our contribution is in developing a magnification lens that is fast, can be implemented using a fairly small software overhead, and has a natural, intuitive appearance. The issue with magnification lens is the border, or transition region. The lens center and exterior have a constant zoom factor, and are simple to render. It is the border region that blends between the external and interior magnification, and has a nonconstant magnification. We use the "perspective-correct textures" capability, available in most current graphics systems, to produce a lens with a tessellated border region that approximates linear compression with respect to the radius of the magnification lens. We discuss how a "cubic" border can mitigate the discontinuities resulting from the use of a linear function, without significant performance loss. We discuss various issues concerning development of a three-dimensional magnification lens.

关键词： Lenses Data visualization Rendering (computer graphics) Displays Pixel Navigation Scientific computing Laboratories image processing computer science

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A tetrahedra-based stream surface algorithm 01

A tetrahedra-based stream surface algorithm

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IEEE Conference on Visualization

作者： G. Scheuermann T. Bobach H. Hagen K. Mahrous B. Hamann K.I. Joy W. Kollmann Computer Science Department University of Kaiserslautern Kaiserslautern Germany Center for image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA Department of mechanaical and Aeronanutical Engineering University of California Davis CA

ISBN: (纸本)0780372018

This paper presents a new algorithm for the calculation of stream surfaces for tetrahedral grids. It propagates the surface through the tetrahedra, one at a time, calculating the intersections with the tetrahedral faces. The method allows us to incorporate topological information from the cells, e.g. critical points. The calculations are based on barycentric coordinates, since this simplifies the theory and the algorithm. The stream surfaces are ruled surfaces inside each cell, and their construction starts with line segments on the faces. Our method supports the analysis of velocity fields resulting from computational fluid dynamics (CFD) simulations.

关键词： Visualization Streaming media Computational fluid dynamics Piecewise linear techniques Computational modeling Analytical models Fluid flow Fluid dynamics Interpolation Error correction

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Interactive display of surfaces using subdivision surfaces and wavelets

Interactive display of surfaces using subdivision surfaces a...

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Spring Conference on computer Graphics

作者： M.A. Duchaineau M. Bertram S. Porumbescu B. Hamann K.I. Joy Center for Applied Scientific Computing Lawrence Livemore National Laboratory Livermore CA USA FB Informatik Universitaet Kaiserslautern Kaiserslautern Germany Center for Image Processing and Integrated Computing Department of Computer Science University of California USA

Complex surfaces and solids are produced by large-scale modeling and simulation activities in a variety of disciplines. Productive interaction with these simulations requires that these surfaces or solids should be viewable at interactive rates - yet many of these surfaces/solids can contain hundreds of millions of polygons/polyhedra. Interactive display of these objects requires compression techniques to minimize storage, and fast view-dependent triangulation techniques to drive the graphics hardware. In this paper, we review recent advances in subdivision-surface wavelet compression and optimization that can be used to provide a framework for both compression and triangulation. These techniques can be used to produce suitable approximations of complex surfaces of arbitrary topology and can be used to determine suitable triangulations for display. The techniques can be used in a variety of applications in computer graphics, computer animation and visualization.

关键词： Solid modeling Large-scale systems Drives Hardware Topology computer displays Application software computer graphics Animation Visualization

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