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parallel point reprojection

Parallel point reprojection

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Reinhard, E Shirley, P Hansen, C Univ Utah Salt Lake City UT 84112 USA

ISBN: (纸本)0780372239

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 reprojection. However, the reprojection 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 reprojection in a scalable fashion on multiple processors.

关键词： point reprojection ray tracing

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parallel volume rendering on a single-chip SIMD architecture

Parallel volume rendering on a single-chip SIMD architecture

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Meissner, M Grimm, S Strasser, W Packer, J Latimer, D Univ Tubingen WSI GRIS D-72076 Tubingen Germany

ISBN: (纸本)0780372239

Volume rendering has great potential for parallelization due to the tremendous number of computations necessary. Besides the enormous computational power needed, the memory interface is usually of crucial importance and frequently the bottleneck. This paper presents an implementation of a parallel ray casting algorithm for orthogonal projections on a new single-chip SIMD architecture. Concurrent processing of rays is scheduled such that redundant memory accesses of the individual processing elements can be detected by the channel controller. Hence, data can be read efficiently in block-wise manner. For improved image quality, a permutation of the Shear-Warp algorithm with trilinear interpolation is used. The steps of the ray casting algorithm are carefully mapped onto the architecture avoiding expensive floating point operation, giving superior performance over previously reported results. A detailed analysis illustrates the timing of the individual computations and memory accesses, identifying the costliest parts of the implementation.

关键词： volume rendering ray casting parallel processing

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parallel view-dependent isosurface extraction using multi-pass occlusion culling

Parallel view-dependent isosurface extraction using multi-pa...

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Gao, JZ Shen, HW Ohio State Univ Dept Comp & Informat Sci Columbus OH 43210 USA

ISBN: (纸本)0780372239

This paper presents a parallel algorithm that can effectively extracts only the visible portion of isosurfaces. The main focus of our research is to devise a load-balanced and output-sensitive algorithm, that is, each processor will generate approximately the same amount of triangles, and cells that do not contain the visible isosurface will not be visited. A novel multi-pass algorithm is proposed in the paper to achieve these goals. In the algorithm, we first use an octree data structure to rapidly skip the empty cells. An image space visibility culling technique is then used to identify the visible isosurface cells in a progressive manner. To distribute the workload, we use a binary image space partitioning method to ensure that each processor will generate approximately the same amount of triangles. Isosurface extraction and visibility update are performed in parallel to reduce the total computation time. In addition to reducing the size of output geometry and accelerating the process of isosurface extraction, the multi-pass nature of our algorithm can also be used to perform time-critical computation.

关键词： view-dependent occlusion culling isosurface extraction multi-pass algorithm hierarchical data structures

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visualization challenges for a new cyberpharmaceutical computing paradigm

Visualization challenges for a new cyberpharmaceutical compu...

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Turner, RJ Chaturvedi, K Edwards, NJ Fasulo, D Halpern, AL Huson, DH Kohlbacher, O Miller, JR Reinert, K Remington, KA Schwartz, R Walenz, B Yooseph, S Istrail, S Celera Genom Corp Rockville MD 20850 USA

ISBN: (纸本)0780372239

In recent years, an explosion in data has been profoundly changing the field of biology and creating the need for new areas of expertise, particularly in the handling of data. One vital area that has so far received insufficient attention is how to communicate the large quantities of diverse and complex information that is being generated. 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.

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A unified infrastructure for parallel out-of-core isosurface extraction and volume rendering of unstructured grids

A unified infrastructure for parallel out-of-core isosurface...

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Chiang, YJ Farias, R Silva, CT Wei, B Polytech Univ Dept Comp & Informat Sci Brooklyn NY 11201 USA

ISBN: (纸本)0780372239

In this paper, we present a unified infrastructure for parallel out-of-ore isosurface extraction and volume rendering of large unstructured grids on distributed-memory parallel machines. We parallelize the out-of-core isosurface extraction algorithm of [9] and the out-of-core ZSweep technique [17] for direct volume rendering, using the meta-cell technique as a unified underlying building block. Our one-time preprocessing first partitions the dataset into meta-ells that are stored in disk. From the meta-cells, we build a BBIO tree in disk, which can be used to speed up isosurface extraction, and a bounding-box file in disk, which is used for direct volume rendering. At run-time, we use a simple self-scheduling scheme [39] to achieve load balancing among the processors, We perform several experiments on a sixteen-node cluster of PCs connected by a gigabit ethernet, using datasets as large as 6.6 million cells. For the larger datasets, we have found that both our isosurface extraction and direct volume rendering approaches are perfectly scalable up to sixteen nodes.

关键词： isosurface extraction volume rendering parallel computation out-of-core techniques scientific visualization

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Scalable interactive volume rendering using off-the-shelf components

Scalable interactive volume rendering using off-the-shelf co...

引用

ieee symposium on parallel and Large-Data visualization and graphics

作者： Lombeyda, S Moll, L Shand, M Breen, D Heirich, A CALTECH Pasadena CA 91125 USA

ISBN: (纸本)0780372239

This paper describes an application of a second generation implementation of the Sepia architecture (Sepia-2) to interactive volumetric visualization of large rectilinear scalar fields. By employing pipelined associative blending operators in a sort-last configuration a demonstration system with 8 rendering computers sustains 24 to 28 frames per second while interactively rendering large data volumes (1024x256x256 voxels, and 512x512x512 voxels). We believe interactive performance at these frame rates and data sizes is unprecedented. We also believe these results can be extended to other types of structured and unstructured grids and a variety of GL rendering techniques including surface rendering and shadow mapping. We show how to extend our single-stage crossbar demonstration system to multi-stage networks in order to support much larger data sizes and higher image resolutions. This requires solving a dynamic mapping problem for a class of blending operators that includes Porter-Duff compositing operators.

关键词： sort-last parallel cluster shear-warp volume rendering ray-casting shadow mapping CFD VolumePro OpenGL VIA Clos

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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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An application architecture for large data visualization: a case study

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

引用

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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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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Scalable isosurface visualization of massive datasets on COTS clusters

Scalable isosurface visualization of massive datasets on COT...

引用

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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