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parallelizing a high accuracy hardware-assisted volume renderer for meshes with arbitrary polyhedra

Parallelizing a high accuracy hardware-assisted volume rende...

引用

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

作者： J. Bennett R. Cook N. Max D. May P. Williams Lawrence Livemore National Laboratory USA University of California 슠Davis USA University of California Davis USA

Discusses our efforts to improve the performance of the high-accuracy (HIAC) volume rendering system, based on cell projection, which is used to display unstructured, scientific data sets for analysis. The parallelization of HIAC, using Pthreads and MPI API's, resulted in significant speedup, but interactive frame rates are not yet attainable for very large data sets.

关键词： Sorting Rendering (computer graphics) graphics Hardware Testing Displays Data analysis Performance analysis Data visualization Casting

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

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

引用

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

作者： K. Moreland B. Wylie C. Pavlakos Sandia National Laboratories USA

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： Tiles Rendering (computer graphics) Computer graphics Computer displays Hardware Computational modeling Laboratories Energy resolution Spatial resolution Data visualization

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parallel point reprojection

Parallel point reprojection

引用

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

作者： E. Reinhard P. Shirley C. Hansen University of Utah USA

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 re-projection. However, the re-projection 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 re-projection in a scalable fashion on multiple processors.

关键词： Rendering (computer graphics) Ray tracing Layout Displays Clouds Concurrent computing Hardware Costs Pixel Chromium

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Multiresolution view-dependent splat based volume rendering of large irregular data

Multiresolution view-dependent splat based volume rendering ...

引用

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

作者： J. Meredith Kwan-Liu Ma Lawrence Livemore National Laboratory Livermore CA USA Department of Computer Science University of California Davis USA

We present techniques for multiresolution approximation and hardware-assisted splat based rendering to achieve interactive volume visualization of large irregular data sets. We examine two methods of generating multiple resolutions of irregular volumetric grids and a data structure supporting the splatting approach for volume rendering. These techniques are implemented in combination with a view-dependent error based resolution selection to maintain accuracy at both low and high zoom levels. In addition, the error tolerance may be adjusted at run time to obtain the desired balance between high frame rates and accurate rendering. Along with an effective way to compute gradients for lighting, we offer an integrated solution for interactive volume rendering of irregular-mesh or meshless data, and we demonstrate our technique on unstructured-grid data sets from aerodynamic flow simulations.

关键词： Data visualization Large-scale systems Computational modeling Rendering (computer graphics) Hardware Laboratories Concurrent computing graphics Mesh generation Data structures

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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 (PVG)

作者： M. Meissner S. Grimm W. Strasser J. Packer D. Latimer WSI/GRIS University of Tübingen Tubingen Germany ClearSpeed Technology Limited Bristol UK

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. The 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： Rendering (computer graphics) Casting Memory architecture Computer architecture Interpolation Concurrent computing parallel programming Computer graphics parallel processing Real time systems

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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 (PVG)

作者： Jinzhu Gao Han-Wei Shen Department of Computer and Information Science Ohio State Uinversity Columbus OH USA

Presents a parallel algorithm that can effectively extract 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 multi-pass algorithm is proposed 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： Isosurfaces Data mining Concurrent computing Partitioning algorithms Acceleration Computer graphics Clustering algorithms Data structures Hardware Large-scale systems

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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 (PVG)

作者： S. Lombeyda L. Moll M. Shand D. Breen A. Heirich California Institute of Technology USA Compaq Computer Corporation USA

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 (1024/spl times/256/spl times/256 voxels, and 512/spl times/512/spl times/512 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： Computer displays Computer networks Concurrent computing Distributed computing Computer architecture Rendering (computer graphics) Application software Computer graphics Topology Data visualization

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parallel rendering with K-way replication

Parallel rendering with K-way replication

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

作者： R. Samanta T. Funkhouser Kai Li Princeton University Princeton NJ USA

With the recent advances in commodity graphics hardware performance, PC clusters have become an attractive alternative to traditional high-end graphics workstations. The main challenge is to develop parallel rendering algorithms that work well within the memory constraints and communication limitations of a networked cluster. Previous systems have required the entire 3D scene to be replicated in memory on every PC. While this approach can take advantage of view-dependent load balancing algorithms and thus largely avoid the problems of inter-process communication, it limits the scalability of the system to the memory capacity of a single PC. We present a k-way replication approach in which each 3D primitive of a large scene is replicated on k out of n PCs (k/spl Lt/n). The key idea is to support 3D models larger than the memory capacity of any single PC, while retaining the reduced communication overheads of dynamic view-dependent partitioning. In this paper, we investigate algorithms for distributing copies of primitives among PCs and for dynamic load balancing under the constraints of partial replication. Our main result is that the parallel rendering efficiencies achieved with small replication factors are similar to the ones measured with full replication. By storing one-fourth of Michelangelo's David model (800 MB) on each of 24 PCs (each with 256 MB of memory), our system is able to render 40 million polygons/second (65 % efficiency).

关键词： Personal communication networks Rendering (computer graphics) graphics Clustering algorithms Layout Load management Hardware Workstations Memory management Scalability

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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 (PVG)

作者： Yi-Jen Chiang R. Farias C.T. Silva Bin Wei Polytechnic University USA University of Stony Brook USA AT and T USA

We present a unified infrastructure for parallel out-of-core isosurface extraction and volume rendering of large unstructured grids on distributed-memory parallel machines. We parallelize the out-of-core isosurface extraction algorithm of Chiang et al. (1998) and the out-of-core ZSweep technique (Farias and Silva, 2001) 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-cells 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 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： Isosurfaces Data mining Data visualization parallel machines Partitioning algorithms Concurrent computing Runtime Load management Personal communication networks Ethernet networks

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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 (PVG)

作者： R. Bruckschen F. Kuester B. Hamann K.I. Joy Visualization and Graphics Research Group Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA Visualization and Interactive Systems Group Department of Electrical and Computer Engineering University of California Irvine CA USA

ISBN: (纸本)0780372239

visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. The 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 120 GB E-IDE RAID (redundant array of inexpensive disk) system.

关键词： Data visualization Computational modeling Computational fluid dynamics Motion pictures Hardware Computer graphics Interactive systems Image processing Computer science Image analysis

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