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symposium on parallel graphics and visualization

作者： Yu, HF Ma, KL Univ Calif Davis Dept Comp Sci Davis CA 95616 USA

This paper presents two parallel I/O methods for the visualization of time-varying volume data in a high-performance computing environment. We discuss the interplay between the parallel renderer, I/O strategy, and file system, and show the results of our study on the performance of the I/O strategies with and without MPI parallel I/O support. The targeted application is earthquake modeling using a large 3D unstructured mesh consisting of one hundred millions cells. Our test results on the HP/Cornpaq AlphaServer operated at the Pittsburgh Supercomputing Center demonstrate that the I/O methods effectively remove the I/O bottlenecks commonly present in time-varying data visualization, and therefore help significantly lower interfrarne delay. This high-performance visualization solution allows scientists to explore their data in the temporal, spatial, and visualization domains at high resolution. Such new explorability, likely not presently available to most computational science groups, will help lead to many new insights into the modeled physical and chemical processes. (c) 2005 Elsevier B.V. All rights reserved.

关键词： high-performance computing massively parallel supercomputing MPI scientific visualization parallel I/O parallel rendering time-varying data volume rendering

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parallel Contour-Buildup algorithm for the molecular surface

Parallel Contour-Buildup algorithm for the molecular surface

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1st IEEE symposium on Biological Data visualization, BioVis 2011

作者： Krone, Michael Grottel, Sebastian Ertl, Thomas University of Stuttgart Germany University of Stuttgart Germany

ISBN: (纸本)9781467300025

Molecular Dynamics simulations are an essential tool for many applications. The simulation of large molecules like proteins over long trajectories is of high importance e. g. for pharmaceutical, biochemical and medical research. For analyzing these data sets interactive visualization plays a crucial role as details of the interactions of molecules are often affected by the spatial relations between these molecules. From the large range of visual representations for such data, molecule surface representations are of high importance as they clearly depict geometric interactions, such as docking or substrate channel accessibility. However, these surface visualizations are computationally demanding and thus pose a challenge for interactive visualization of time-dependent data sets. We propose an optimization of the Contour-Buildup algorithm for the Solvent Excluded Surface (SES) to remedy this issue. An optimized subdivision of calculation tasks of the original algorithm allows for full utilization of massive parallel processing hardware. Our approach is especially well suited for modern graphics hardware employing the CUDA programming language. As we do not rely on any pre-computations our method is intrinsically applicable to time-dependent data with arbitrarily long trajectories. We are able to visualize the SES for molecules with up to ten thousand atoms interactively on standard consumer graphics cards. © 2011 IEEE.

关键词： Molecules

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Galaxy: Asynchronous Ray Tracing for Large High-Fidelity visualization 8

Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Vis...

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8th IEEE symposium on Large-Scale Data Analysis and visualization (LDAV)

作者： Abram, Greg Navratil, Paul Grossett, Pascal Rogers, David Ahrens, James Texas Adv Comp Ctr Austin TX 78758 USA Los Alamos Natl Lab Los Alamos NM USA

ISBN: (纸本)9781538668733

We present Galaxy, a fully asynchronous distributed parallel rendering engine geared towards using full global illumination for large-scale visualization. Galaxy provides performant distributed rendering of complex lighting and material models, particularly those that require ray traversal across nodes. Our design is favorable for tightly-coupled in situ scenarios, where data remains on simulation nodes. By employing asynchronous framebuffer updates and a novel subtractive lighting model, we achieve acceptable image quality from the first ray generation, and improve quality throughout the render epoch. On simulated in situ rendering tasks, Galaxy outperforms the current best-of-breed scientific ray tracer by over 3x for distributed geometric and particle data, while providing expanded rendering capability for global illumination and complex materials.

关键词： Human-Centered Computing visualization Computer graphics Rendering Ray Tracing

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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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parallel multipipe rendering for very large isosurface visualization

Parallel multipipe rendering for very large isosurface visua...

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1st Joint Eurographics - IEEE TCVG symposium on visualization, VisSym 1999

作者： Udcshi, Tushar Hansen, Charles D. Department of Computer Science University of Utah 50 S. Campus Center Drive Em. 3190 Salt Lake CityUT84112-9205 United States

ISBN: (纸本)9783709168035

In exploratory scientific visualization, isosurfaces are typically created with an explicit polygonal representation for the surface using a technique such as Marching Cubes. For even moderate data sets, Marching Cubes can generate an extraordinary number of polygons, which take time to construct and to render. To address the rendering bottleneck, we have developed a multipipe strategy for parallel rendering using a combination of CPUs and parallel graphics adaptors. The multipipe system uses multiple graphics adapters in parallel, the so called SGI Onyx2 Reality Monster. In this paper, we discuss the issues of using the multiple pipes in a Sort-Last fashion which out performs a single graphics adaptor for a surprisingly low number of polygons. © 1999 Eurographics Association. All rights reserved.

关键词： Program processors

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Graphical assistance in parallel program development

Graphical assistance in parallel program development

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Proceedings of the IEEE symposium on Visual Languages

作者： Zhang, Kang Ma, Wanli Macquarie Univ New South Wales

Researchers have proposed many visualization tools that assist the development of parallel programs. A number of graph formalisms or notations - which we will call graph models - have been used to visualize various aspects of parallel programs and their executions. This paper attempts to classify and compare these graph models which provide different information at different stages of parallel program development.

关键词： Computer graphics

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Hybrid Scheduling for parallel Rendering using Coherent Ray Tasks

Hybrid Scheduling for Parallel Rendering using Coherent Ray ...

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1999 IEEE symposium on parallel visualization and graphics, PVGS 1999

作者： Reinhard, Erik Chalmers, Alan Jansen, Frederik W. University of Bristol Dept. of Computer Science Merchant Venturers Building Woodland Road BristolBS8 1UB United Kingdom Delft University of Technology Fac. of Information Technology and Systems Zuidplantsoen 4 Delft2628 BZ Netherlands

ISBN: (纸本)1581132379

parallelising ray tracing with a data parallel approach allows rendering of arbitrarily large models, but the inherent load imbalances may lead to severe inefficiencies. To compensate for the uneven load distribution, demand-driven tasks may be split off and scheduled to processors that are less busy. We propose a hybrid scheduling algorithm which brings tasks and data together according to coherence between rays. The amount of demand-driven versus dataparallel tasks is a function of the coherence between rays and the amount of imbalance in the basic data-parallel load. Processing power, communication and memory are three resources which should be evenly used. Our current implementation is assessed against these requirements, showing good scalability and very little communication at the cost of a slightly larger memory overhead.

关键词： Ray tracing

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parallel visualization on large clusters using MapReduce

Parallel visualization on large clusters using MapReduce

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1st IEEE symposium on Large-Scale Data Analysis and visualization 2011, LDAV 2011

作者： Vo, Huy T. Bronson, Jonathan Summa, Brian Comba, João L.D. Freire, Juliana Howe, Bill Pascucci, Valerio Silva, Cláudio T. Polytechnic Institute New York University United States SCI Institute University of Utah United States Instituto de Informática UFRGS Brazil eScience Institute University of Washington United States

ISBN: (纸本)9781467301541

Large-scale visualization systems are typically designed to efficiently "push" datasets through the graphics hardware. However, exploratory visualization systems are increasingly expected to support scalable data manipulation, restructuring, and querying capabilities in addition to core visualization algorithms. We posit that new emerging abstractions for parallel data processing, in particular computing clouds, can be leveraged to support large-scale data exploration through visualization. In this paper, we take a first step in evaluating the suitability of the MapReduce framework to implement large-scale visualization techniques. MapReduce is a lightweight, scalable, general-purpose parallel data processing framework increasingly popular in the context of cloud computing. Specifically, we implement and evaluate a representative suite of visualization tasks (mesh rendering, isosurface extraction, and mesh simplification) as MapReduce programs, and report quantitative performance results applying these algorithms to realistic datasets. For example, we perform isosurface extraction of up to l6 isovalues for volumes composed of 27 billion voxels, simplification of meshes with 30GBs of data and subsequent rendering with image resolutions up to 800002 pixels. Our results indicate that the parallel scalability, ease of use, ease of access to computing resources, and fault-tolerance of MapReduce offer a promising foundation for a combined data manipulation and data visualization system deployed in a public cloud or a local commodity cluster. © 2011 IEEE.

关键词： MapReduce

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A parallel application for 3D reconstruction of coronal loops using image morphing

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IMAGE AND VISION COMPUTING 2007年第1期25卷 95-102页

作者： Faria, Lilian N. Mascarenhas, Nelson D. A. Moron, Celio E. Saito, Jos H. Rosa, Reinaldo R. Sawant, Hanumant S. Univ Fed Sao Carlos Dept Comp BR-13565905 Sao Carlos SP Brazil INPE DAS Inst Nacl Pesquisas Espaciais BR-12201970 Sao Jose Dos Campos Brazil INPE LAC Div Astrofis Lab Associado Comp & Matemat Aplicada BR-12201970 Sao Jose Dos Campos Brazil

This paper presents an approach for 3D reconstruction of X-ray tomographic images of coronal loops, observed on the solar atmosphere by the Japanese satellite Yohkoh. In this approach, the intermediate cross-sections images of the magnetic loop are generated with image morphing controlled by a Bezier curve in arc shape. Due to the high computational costs involved in the processing and visualization of solar images, a parallel application for 3D reconstruction of a coronal loop was implemented to execute in the Atlas parallel system. (c) 2006 Elsevier B.V. All rights reserved.

关键词： coronal loops 3D reconstruction image processing image morphing parallel system

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Volume and Point-Based graphics 2008 - Eurographics / IEEE VGTC symposium Proceedings, 7th International symposium on Volume graphics, VG 2008 and 5th symposium on Point-Based graphics, PBG 2008

Volume and Point-Based Graphics 2008 - Eurographics / IEEE V...

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Joint IEEE/EG 7th International symposium on Volume graphics, VG 2008 and 5th symposium on Point-Based graphics, PBG 2008

ISBN: (纸本)9783905674125

The proceedings contain 20 papers. The topics discussed include: a graph-based approach to symmetry detection;a survey of methods for moving least squares surfaces;parallel construction of k-nearest neighbor graphs for point clouds;harmonic colormaps for volume visualization;stroke-based transfer function design;on accuracy of marching isosurfacing methods;isosurface ambient occlusion and soft shadows with filterable occlusion maps;multiresolution interval volume meshes;stereo pseudo 3D rendering for web-based display of scientific volumetric data;layers for effective volume rendering;GPU-based particle systems for illustrative volume rendering;interactive global light propagation in direct volume rendering using local piecewise integration;obscurance-based volume rendering framework;decomposition and visualization of fourth-order elastic-plastic tensors;and pseudorandom noise for real-time volumetric rendering of fire in a production system.

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