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Mathematics and visualization 2009年第3期18卷 V-VI页

作者： Hege, Hans-Christian Polthier, Konrad Scheuermann, Gerik Konrad-Zuse-Zentrum für Informationstechnik Berlin Devision Scientific Computing Department Visualization and Data Analysis Takustraße 7 Berlin14195 Germany Freie Universität Berlin Institut für Mathematik Arnimallee 6 Berlin14195 Germany Universität Leipzig Fakultät für Mathematik und Informatik Institut für Informatik Postfach 100920 Leipzig04009 Germany

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Ubiquitous interactive visualization of 3D mantle convection using a web-portal with Java and Ajax framework

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Visual Geosciences 2008年第1期13卷 105-115页

作者： Greensky, James B.S.G. Czech, Wojciech Walter Yuen, David A. Knox, Michael Richard Damon, Megan Rose Chen, Shi Steve Kameyama, M. Charley Laboratory of Computing Science and Engineering Minnesota Supercomputing Institute University of Minnesota Minneapolis MN 55455 United States Institute of Computer Science AGH University 31-005 Krakow Poland Scientific Integration and Visualization Office Code 610.3 NASA Goddard Space Flight Center Greenbelt MD 20770 United States Laboratory of Computational Geodynamics Graduate University of Chinese Academy of Sciences 100049 Beijing China Geodynamics Research Center Ehime University Matsuyama 790-8577 Japan

We have developed a new strategy and espouse a novel paradigm for large-scale computing and real-time interactive visualization. This philosophy calls for intense interactive sessions for a couple of hours at a time at the expense of storing data on many disk drives during regular or heroic runs on massively parallel systems. We have already carried out successfully real-time volume-rendering visualization by employing hundreds of processors for a grid with over 25 million unknowns. Both Cartesian and spherical 3D mantle convection are visualized. The volume-rendered images are viewed on a large display device, with many panels holding around 13 million pixels. We will employ a software strategy involving an hierarchical rendering service, which will have as software an Ajax interface for interactive visualization of large data sets on many different platforms from desktop PC's to hand-held devices, such as the OQO and the Nokia N-800. An option for stereo viewing is also implemented. We have installed a user interface as web application, using Java and Ajax framework in order to achieve over the Internet reasonable accessibility to our ongoing runs. Our goal is to expand the array of interactive devices, which will make it feasible to carry out ubiquitous visualization and monitoring of large-scale simulations or onsite events and to allow for collaborations across oceans. © Springer-Verlag 2008.

关键词： 3D mantle convection Ajax framework Hand-held device Java visualization

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Feature Identification and Extraction in Function Fields

Feature Identification and Extraction in Function Fields

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9th Joint Eurographics/IEEE VGTC Symposium on visualization, EuroVis 2007

作者： Anderson, John C. Gosink, Luke J. Duchaineau, Mark A. Joy, Kenneth I. Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory

ISBN: (纸本)9783905673456

We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is accomplished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset. © The Eurographics Association 2007.

关键词： Air quality

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CFD computation of fan interaction noise

CFD computation of fan interaction noise

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ASME 2007 International Mechanical Engineering Congress and Exposition, IMECE 2007

作者： Grace, Sheryl M. Sondak, Douglas L. Dorney, Daniel J. Logue, Michaela Department of Aerospace and Mechanical Engineering Boston University 110 Cummington St. BostonMA02215 United States Scientific Computing and Visualization Boston University BostonMA02215 United States Fluid Dynamics Branch NASA Marshall Space Flight Center AL35812 United States Aerospace and Mechanical Engineering Department University of Notre Dame Notre DameIN45665 United States

ISBN: (纸本)0791843025

In this study, a 3-D, unsteady, Reynolds-averaged Navier- Stokes (RANS) CFD code coupled to an acoustic calculation is used to predict the contribution of the exit guide vanes to tonal fan noise downstream. The configuration investigated is that corresponding to the NASA Source Diagnostic Test (SDT) 22-in fan rig. One configuration from the SDT matrix is considered here: The approach condition, and outlet guide vane count designed for cut-off of the blade passage frequency. In this chosen configuration, there are 22 rotor blades and 54 stator blades. The stators are located 2.5 tip chords downstream of the rotor trailing edge. The RANS computations are used to obtain the spectra of the unsteady surface pressure on the exit guide vanes. The surface pressure at the blade passage frequency and its second harmonic are then integrated together with the Green's function for an annular duct to obtain the pressure at locations in the duct. Comparison of the computed sound power level at the exhaust plane with experiment show good agreement at the cut-on circumferential mode. The results from this investigation validate the use of the CFD code along with the acoustic model for downstream fan noise predictions. This validation enables future investigations such as the effect of duct variation on the exhaust tonal power level and the validity of using this method for predicting broadband noise levels. Copyright © 2007 by ASME.

关键词： Stators

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SciDAC visualization and analytics center for enabling technology

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Journal of Physics: Conference Series 2007年第1期78卷

作者： Bethel, E. Wes Johnson, Chris Joy, Ken Ahern, Sean Pascucci, Valerio Childs, Hank Cohen, Jonathan Duchaineau, Mark Hamann, Bernd Hansen, Charles Laney, Dan Lindstrom, Peter Meredith, Jeremy Ostrouchov, George Parker, Steven Silva, Claudio Sanderson, Allen Tricoche, Xavier Computing Sciences Division Lawrence Berkeley National Laboratory University of California Berkeley CA 94720-8139 United States Scientific Computing and Imaging Institute University of Utah Salt Lake City UT 84112 72 S. Central Campus Drive United States Institute for Data Analysis and Visualization University of California Davis CA 95616-8562 One Shields Avenue United States National Center for Computational Sciences Oak Ridge National Laboratory MS-6016 Oak Ridge TN 37831 One Bethel Valley Road United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94551 P.O. Box 808 L-561 United States

The visualization and Analytics Center for Enabling Technologies (VACET) focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances in computational technology have resulted in an "information big bang," which in turn has created a significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision of VACET is to adapt, extend, create when necessary, and deploy visual data analysis solutions that are responsive to the needs of DOE's computational and experimental scientists. Our center is engineered to be directly responsive to those needs and to deliver solutions for use in DOE's large open computing facilities. The research and development directly target data understanding problems provided by our scientific application stakeholders. VACET draws from a diverse set of visualization technology ranging from production quality applications and application frameworks to state-of-the-art algorithms for visualization, analysis, analytics, data manipulation, and data management. © 2007 IOP Publishing Ltd.

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Frameworks for visualization at the extreme scale

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Journal of Physics: Conference Series 2007年第1期78卷

作者： Joy, Kenneth I. Miller, Mark Childs, Hank Bethel, Wes Clyne, John Ostrouchov, George Ahern, Sean Institute for Data Analysis and Visualization University of California Davis CA 95616-8562 One Shields Avenue United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94551 P.O. Box 808 L-561 United States Computing Sciences Division Lawrence Berkeley National Laboratory University of California Berkeley CA 94720-8139 United States National Center for Atmospheric Research Boulder CO United States National Center for Computational Sciences Oak Ridge National Laboratory MS-6016 Oak Ridge TN 37831 One Bethel Valley Road United States

The challenges of visualization at the extreme scale involve issues of scale, complexity, temporal exploration and uncertainty. The visualization and Analytics Center for Enabling Technologies (VACET) focuses on leveraging scientific visualization and analytics software technology as an enabling technology to increased scientific discovery and insight. In this paper, we introduce new uses of visualization frameworks through the introduction of Equivalence Class Functions (ECFs). These functions give a new class of derived quantities designed to greatly expand the ability of the end user to explore and visualize data. ECFs are defined over equivalence classes (i.e., groupings) of elements from an original mesh, and produce summary values for the classes as output. ECFs can be used in the visualization process to directly analyze data, or can be used to synthesize new derived quantities on the original mesh. The design of ECFs enable a parallel implementation that allows the use of these techniques on massive data sets that require parallel processing. © 2007 IOP Publishing Ltd.

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Topology- and Feature-based Flow visualization: Methods and Applications 1

Topology- and Feature-based Flow Visualization: Methods and ...

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1st Workshop of the DFG's International Research Training Group "visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling, and Engineering"

作者： Garth, Christoph Tricoche, Xavier Computer Graphics & Visualization Group University of Kaiserslautern Kaiserslautern Germany Scientific Computing & Imaging Insitute University of Utah Salt Lake CityUT United States

ISBN: (纸本)9783885794387

In this paper we give a survey on topology- and feature-based flow visualization methods. After an introduction into the respective methodologies and a basic classification of techniques, we will focus on practical aspects and several application examples from different areas of flow physics. We show the utility and importance of these classes of tools in the design and analysis of technical flows. © 2006 Gesellschaft für Informatik, Bonn.

关键词： Flow visualization

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End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data

End-to-end data reduction and hardware accelerated rendering...

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Fourth International Workshop on Volume Graphics 2005

作者： Akiba, Hiroshi Ma, Kwan-Liu Clyne, John Institute for Data Analysis and Visualization University of California Davis United States Scientific Computing Devision National Center for Atmospheric Research CO United States

ISBN: (纸本)3905673266

We present a systematic approach for direct volume rendering terascale-sized data that are time-varying, and possibly non-uniformly sampled, using only a single commodity graphics PC. Our method employs a data reduction scheme that combines lossless, wavelet-based progressive data access with a user-directed, hardware-accelerated data packing technique. Data packing is achieved by discarding data blocks with values outside the data interval of interest and encoding the remaining data in a structure that can be efficiently decoded in the GPU. The compressed data can be transferred between disk, main memory, and video memory more efficiently, leading to more effective data exploration in both spatial and temporal domains. Furthermore, our texture-map based volume rendering system is capable of correctly displaying data that are sampled on a stretched, Cartesian grid. To study the effectiveness of our technique we used data sets generated from a large solar convection simulation, computed on a non-uniform, 504×504×2048 grid. © The Eurographics Association 2005.

关键词： Data reduction

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Topology-based simplification for feature extraction from 3D scalar fields

Topology-based simplification for feature extraction from 3D...

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VIS 05: IEEE visualization 2005, Proceedings

作者： Gyulassy, Attila Natarajan, Vijay Pascucci, Valerio Bremer, Peer-Timo Hamann, Bernd Institute for Data Analysis and Visualization Dept. of Computer Science University of California Davis Center for Applied Scientific Computing Lawrence Livermore National Laboratory Dept. of Computer Science University of Illinois Urbana Champaign

ISBN: (纸本)0780394623

In this paper, we present a topological approach for simplifying continuous functions defined on volumetric domains. We introduce two atomic operations that remove pairs of critical points of the function and design a combinatorial algorithm that simplifies the Morse-Smale complex by repeated application of these operations. The Morse-Smale complex is a topological data structure that provides a compact representation of gradient flow between critical points of a function. Critical points paired by the Morse-Smale complex identify topological features and their importance. The simplification procedure leaves important critical points untouched, and is therefore useful for extracting desirable features. We also present a visualization of the simplified topology. © 2005 IEEE.

关键词： Feature extraction

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End-to-end data reduction and hardware accelerated rendering techniques for visualizing time-varying non-uniform grid volume data 05

End-to-end data reduction and hardware accelerated rendering...

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International Workshop on Volume Graphics, VG

作者： H. Akiba Kwan-Liu Ma J. Clyne Institute for Data Analysis and Visualization University of California슠Davis USA Scientific Computing Devision National Center for Atmospheric Research CO USA

ISBN: (纸本)3905673266

关键词： Hardware Acceleration Data visualization Rendering (computer graphics) Time varying systems Graphics Encoding Decoding Video compression Mesh generation

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