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Asia/Pacific symposium on Visualisation 2007

作者： Kraus, Martin Strengert, Magnus Klein, Thomas Ertl, Thomas Univ Stuttgart Visualizat & Interact Syst Grp D-7000 Stuttgart Germany

ISBN: (纸本)9781424408085

Direct volume rendering of large volumetric data sets on programmable graphics hardware is often limited by the amount of available graphics memory and the bandwidth from main memory to graphics memory. Therefore, several approaches to volume rendering from compact representations of volumetric data have been published that avoid most of the data transfer between main memory and the graphics programming unit (GPU) at the cost of additional data decompression by the GPIJ. To reduce this performance cost, adaptive sampling techniques were proposed;which are, however, usually restricted to the sampling in view direction. In this work, we present a GPU-based volume rendering algorithm with adaptive sampling in all three spatial directions;i.e., not only in view direction but also in the two perpendicular directions of the image plane. This approach allows us to reduce the number of samples dramatically without compromising image quality;thus, it is particularly well suited for many compressed representations of volumetric data that require a computational expensive GPU-based sampling of data.

关键词： scientific visualisation visualisation of large data sets volume visualization direct volume rendering

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Scalable, dynamic analysis and visualization for genomic datasets

Scalable, dynamic analysis and visualization for genomic dat...

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21st International parallel and Distributed Processing symposium, IPDPS 2007

作者： Wallace, Grant Hibbs, Matthew Dunham, Maitreya Sealfon, Rachel Troyanskaya, Olga Li, Kai Department of Computer Science Princeton University Princeton NJ 08544 Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton NJ 08544

ISBN: (纸本)1424409101

A challenge in data analysis and visualization is to build new-generation software tools and systems to truly accelerate scientific discoveries. The recent focus of Princeton's next-generation software project is to investigate how to develop new-generation data analysis and visualization capabilities for genomic scientists to analyze high-throughput genomic dataseis. This paper describes the software tools we have recently developed to enable dynamic, large-scale data analysis and visualization of multiple dataseis on large-scale, high-resolution display wall systems. Our initial experience with the deployed tools at Princeton's Lewis-Sigler Institute for Integrative Genomics is very encouraging. Scientists can effectively learn new knowledge from multiple datasets, find new insights, and generate new hypotheses that are not possible with current methods. © 2007 ieee.

关键词： Genes

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Depth Cues and Density in Temporal parallel Coordinates

Depth Cues and Density in Temporal Parallel Coordinates

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9th Joint Eurographics/ieee VGTC symposium on visualization, EuroVis 2007

作者： Johansson, Jimmy Ljung, Patric Cooper, Matthew Norrköping Visualization and Interaction Studio Linköping University Sweden

ISBN: (纸本)9783905673456

This paper introduces Temporal Density parallel Coordinates (TDPC) and Depth Cue parallel Coordinates (DCPC) which extend the standard 2D parallel coordinates technique to capture time-varying dynamics. The proposed techniques can be used to analyse temporal positions of data items as well as temporal positions of changes occurring using 2D displays. To represent temporal changes, polygons (instead of traditional lines) are rendered in parallel coordinates. The results presented show that rendering polygons is superior at revealing large temporal changes. Both TDPC and DCPC have been efficiently implemented on the GPU allowing the visualization of thousands of data items over thousands of time steps at interactive frame rates. © The Eurographics Association 2007.

关键词： data visualization

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Garuda: A scalable tiled display wall using commodity PCs

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2007年第5期13卷 864-877页

作者： Nirnimesh Harish, Pawan Narayanan, P. J. Int Inst Informat Technol Ctr Visual Informat Technol Hyderabad 500032 Andhra Pradesh India

Cluster-based tiled display walls can provide cost-effective and scalable displays with high resolution and a large display area. The software to drive them needs to scale too if arbitrarily large displays are to be built. Chromium is a popular software API used to construct such displays. Chromium transparently renders any OpenGL application to a tiled display by partitioning and sending individual OpenGL primitives to each client per frame. visualization applications often deal with massive geometric data with millions of primitives. Transmitting them every frame results in huge network requirements that adversely affect the scalability of the system. In this paper, we present Garuda, a client-server-based display wall framework that uses off-the-shelf hardware and a standard network. Garuda is scalable to large tile configurations and massive environments. It can transparently render any application built using the Open Scene Graph (OSG) API to a tiled display without any modification by the user. The Garuda server uses an object-based scene structure represented using a scene graph. The server determines the objects visible to each display tile using a novel adaptive algorithm that culls the scene graph to a hierarchy of frustums. Required parts of the scene graph are transmitted to the clients, which cache them to exploit the interframe redundancy. A multicast-based protocol is used to transmit the geometry to exploit the spatial redundancy present in tiled display systems. A geometry push philosophy from the server helps keep the clients in sync with one another. Neither the server nor a client needs to render the entire scene, making the system suitable for interactive rendering of massive models. Transparent rendering is achieved by intercepting the cull, draw, and swap functions of OSG and replacing them with our own. We demonstrate the performance and scalability of the Garuda system for different configurations of display wall. We also show that the serve

关键词： parallel visualization and graphics clusters visualization over networks large-scale displays

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Eurographics - ieee-VGTC symposium on visualization, EuroVis 2007

Eurographics - IEEE-VGTC Symposium on Visualization, EuroVis...

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9th Joint Eurographics/ieee VGTC symposium on visualization, EuroVis 2007

ISBN: (纸本)9783905673456

The proceedings contain 35 papers. The topics discussed include: multiscale visualization of dynamic software logs;relevance driven visualization of financial performance measures;model-free surface visualization of vascular trees;multi-resolution techniques for visual exploration of large time-series data;depth cues and density in temporal parallel coordinates;keystrokes: personalizing typed text with visualization;visualization of uncertainty in lattices to support decision-making;manual clustering refinement using interaction with blobs;grouse: feature-based, steerable graph hierarchy exploration;online dynamic graph drawing;and path visualization for adjacency matrices.

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Scalable distributed execution environment for large data visualization

Scalable distributed execution environment for large data vi...

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21st International parallel and Distributed Processing symposium, IPDPS 2007

作者： Beck, Micah Liu, Huadong Huang, Jian Moore, Terry University of Tennessee Deptment of Computer Science Knoxville TN 37996-3450 United States

ISBN: (纸本)1424409101

To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential impact of the work, and also because of its use of a full range of challenging technologies. In this work, we designed an execution environment for visualization of massive scientific datasets, using network functional units (NFU) for processing power, logistical networking for storage management and visualization cookbook library (vcblib) for visualization operations. This environment is based solely on computers distributed across the Internet that are owned and operated by independent institutions, while being openly shared for free. Those Internet computers are inherently of heterogeneous hardware configuration and running a variety of operating systems. Using 100 such processors, we have been able to obtain the same level of performance offered by a 64-node cluster of 2.2 GHz P4 processors, while processing a 75GBs subset of a cutting-edge simulation dataset. Due to its inherently shared nature, this execution environment for data-intensive visualization could provide a viable means of collaboration among geographically separated users. © 2007 ieee.

关键词： Supervisory and executive programs

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Interactive Visual Exploration of Unsteady 3D Flows

Interactive Visual Exploration of Unsteady 3D Flows

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9th Joint Eurographics/ieee VGTC symposium on visualization, EuroVis 2007

作者： Bürger, K. Schneider, J. Kondratieva, P. Krüger, J. Westermann, R. Computer Graphics and Visualization Group Technische Universität München Germany

ISBN: (纸本)9783905673456

In this paper we present GPU-based techniques for the interactive visualization of large unsteady 3D flow fields on uniform grids. We propose a novel dual-core approach to asynchronously stream such fields from the CPU, thus enabling the efficient exploration of large time-resolved sequences. This approach decouples visualization from data handling, resulting in interactive frame rates. Built upon a previously published GPU particle engine for flow visualization we have developed new strategies to compute and to visualize path lines and streak lines on the GPU. To provide additional visual cues, focus+context techniques for polygonal meshes have been integrated. The proposed techniques are used in the visual analysis of the Terashake 2.1 earthquake simulation data, and they have been shown to be very effective in revealing the relevant information in this data. © The Eurographics Association 2007.

关键词： Engines

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Point-Based graphics 2007, PBG 2007 - Eurographics / ieee VGTC symposium Proceedings

Point-Based Graphics 2007, PBG 2007 - Eurographics / IEEE VG...

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Point-Based graphics 2007, PBG 2007

ISBN: (纸本)9783905673517

The proceedings contain 13 papers. The topics discussed include: sampling point-set implicits;low-discrepancy point sampling of meshes for rendering;direct computing of surface curvatures for point-set surfaces;interactive editing of large point clouds;SIMOD: making freeform deformation size-insensitive;efficient bounds for point-based animations;efficient refinement of dynamic point data;approximate star-shaped decomposition of point set data;on the use of Gromov-Hausdorff distances for shape comparison;topological methods for the analysis of high dimensional data sets and 3D object recognition;efficient point-based rendering using image reconstruction;surfel-based billboard hierarchies for fast rendering of 3D-objects;a parallelly decodeable compression scheme for efficient point-cloud rendering;and self-similarity-based compression of point clouds, with application to ray tracing.

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ClusterSculptor: A visual analytics tool for high-dimensional data 07

ClusterSculptor: A visual analytics tool for high-dimensiona...

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VAST ieee symposium on Visual Analytics Science and Technology 2007

作者： Nam, Eun Ju Han, Yiping Mueller, Klaus Zelenyuk, Alla Imre, Dan Stony Brook University Pacific Northwest National Lab Imre Consulting

ISBN: (纸本)9781424416592

Cluster analysis (CA) is a powerful strategy for the exploration of high-dimensional data in the absence of a-priori hypotheses or data classification models, and the results of CA can then be used to form such models. But even though formal models and classification rules may not exist in these data exploration scenarios, domain scientists and experts generally have a vast amount of non-compiled knowledge and intuition that they can bring to bear in this effort. In CA, there are various popular mechanisms to generate the clusters, however, the results from their nonsupervised deployment rarely fully agree with this expert knowledge and intuition. To this end, our paper describes a comprehensive and intuitive framework to aid scientists in the derivation of classification hierarchies in CA, using k-means as the overall clustering engine, but allowing them to tune its parameters interactively based on a non-distorted compact visual presentation of the inherent characteristics of the data in highdimensional space. These include cluster geometry, composition, spatial relations to neighbors, and others. In essence, we provide all the tools necessary for a high-dimensional activity we call cluster sculpting, and the evolving hierarchy can then be viewed in a space-efficient radial dendrogram. We demonstrate our system in the context of the mining and classification of a large collection of millions of data items of aerosol mass spectra, but our framework readily applies to any high-dimensional CA scenario. © 2007 ieee.

关键词： visualization

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RT'06: ieee symposium on Interactive Ray Tracing 2006

RT'06: IEEE Symposium on Interactive Ray Tracing 2006

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RT'06: ieee symposium on Interactive Ray Tracing 2006

ISBN: (纸本)1424406935

The proceedings contain 24 papers. The topics discussed include: estimating performance of a ray-tracing ASIC design;ray tracing on the CELL processor;improving ray tracing precision by object space intersection computation;optimizing ray-triangle intersection via automated search;an evaluation of parallel grid construction for ray tracing dynamic scenes;omnidirectional ray tracing traversal algorithm for kd-trees;on the fast construction of spatial hierarchies for ray tracing;fast kd-tree construction with an adaptive error-bound heuristic;GPU-assisted ray casting of large scenes;interactive isosurface ray tracing of large octree volumes;global importance sampling of glossy surfaces using the photon map;incremental raycasting of piecewise quadratic surfaces on the GPU;terrain guided multi-level instancing of highly complex plant populations;and applying ray tracing for virtual reality and industrial design.

关键词： Ray tracing

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