作者：
Wiley, D.F.Childs, H.R.Hamann, B.Joy, K.I.Max, N.L.
Department of Computer Science University of California DavisCA95616-8562 United States B Division
Lawrence Livermore National Laboratory Mail Stop L-098 7000 East Avenue LivermoreCA94550 United States
Lawrence Livermore National Laboratory 7000 East Avenue L-551 LivermoreCA94550 United States
We present a method for hierarchical data approximation using quadratic simplicial elements for domain decomposition and field approximation. Higher-order simplicial elements can approximate data better than linear el...
In this paper, we describe a compression scheme for encoding time-varying isosurfaces and amorphous volumetric features (volumes within specified value ranges) in a unified way, which allows for on-line reconstruction...
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In this paper, we describe a compression scheme for encoding time-varying isosurfaces and amorphous volumetric features (volumes within specified value ranges) in a unified way, which allows for on-line reconstruction and rendering. Since the size of even one frame in a time-varying data set is very large, transmission and online reconstruction are the main bottlenecks for interactive visualization of time-varying volume and surface data. To increase the run-time decompression speed and compression ratio, we decompose the volume into small blocks and encode only the significant blocks that contribute to the isosurface and volumetric features. The result shows that our compression scheme achieves high compression ratio with fast reconstruction, which is effective for client-side rendering of time-varying isosurfaces with amorphous volumetric features.
This paper describes an implementation of volume rendering on a new parallel architectural system, the Hybrid System. The Hybrid System is a combination of a SIMD system with a MIMD system. For such an architecture, w...
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ISBN:
(纸本)0769515371
This paper describes an implementation of volume rendering on a new parallel architectural system, the Hybrid System. The Hybrid System is a combination of a SIMD system with a MIMD system. For such an architecture, we have developed a new volume rendering algorithm called slice orientation. Using this new parallel architecture on the visualization algorithm, we have achieved speed-up rates more than its corresponding MIMD can achieve alone. In this paper, we also present a general formula for determining the speedup of the Hybrid System so that accurate predictions can be made on the performance of the Hybrid System.
Ocean dynamics modeling is essential for predicting the impact of climatic change on human activities. The need of large time series (e.g. paleoclimatic data) has been exposed as one of the challenges to embark on dec...
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Ocean dynamics modeling is essential for predicting the impact of climatic change on human activities. The need of large time series (e.g. paleoclimatic data) has been exposed as one of the challenges to embark on decadal climate predictability. The goal of this study was to reconstruct the surface water dynamics in the South China Sea during the last 130 kyears. In order to do that it was necessary to assemble integrated comprehensive datasets obtained from a gravity core recovered in the Sunda Slope using different techniques such as quantitative analyses from coccolithophores, stable isotopes and biomarkers. Thanks to data mining, through a variety of data analysis tools, from Silicon graphics' Mineset, such as decision trees and clustering we have established the variations in the water column stratification (relative position of nutricline/thermocline). This study is a good example of combining data mining and paleo-oceanography to explain some general paleodynamics, including short-time events, showing the potential to monitor and predict in the context of decadal time-series.
Discusses solutions to the problem of large-scale datavisualization. data management and reduction; Scalable parallelvisualization; High-resolution displays; User interfaces.
Discusses solutions to the problem of large-scale datavisualization. data management and reduction; Scalable parallelvisualization; High-resolution displays; User interfaces.
We present an architectural approach based on paralleldata streaming to enable visualizations on a parallel cluster. Our approach requires less memory than other visualizations while achieving high code reuse.
We present an architectural approach based on paralleldata streaming to enable visualizations on a parallel cluster. Our approach requires less memory than other visualizations while achieving high code reuse.
We describe two highly scalable, parallel software volume-rendering algorithms-one renders unstructured grid volume data and the other renders isosurfaces.
We describe two highly scalable, parallel software volume-rendering algorithms-one renders unstructured grid volume data and the other renders isosurfaces.
In this case study we present an open-source visualization application with a data-parallel novel application architecture. The architecture is unique because is uses the TH scripting language to synchronize the user ...
ISBN:
(纸本)0780372239
In this case study we present an open-source visualization application with a data-parallel novel application architecture. The architecture is unique because is uses the TH scripting language to synchronize the user interface with the VTK parallelvisualization 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.
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 largedata sets in interactive applications...
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ISBN:
(纸本)0780372239
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 largedata 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.
Our scalable isosurface visualization solution on a commodity off-the-shelf cluster is an end-to-end parallel and progressive platform, from the initial data access to the final display. In this paper we focus on the ...
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ISBN:
(纸本)0780372239
Our scalable isosurface visualization solution on a commodity off-the-shelf cluster is an end-to-end parallel and progressive platform, from the initial data access to the final display. In this paper 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 largedata 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 new specialized piece of image compositing hardware called the Metabuffer. We also describe an isosurface compression scheme that is efficient for isosurface processing.
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