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Time-critical distributed visualization with fault tolerance

Time-critical distributed visualization with fault tolerance

引用

8th Eurographics symposium on parallel graphics and visualization, EGPGV 2008

作者： Gao, Jinzhu Liu, Huadong Huang, Jian Beck, Micah Wu, Qishi Moore, Terry Kohl, James University of Minnesota Morris United States University of Tennessee United States University of Tennessee United States University of Tennessee United States University of Memphis United States University of Tennessee United States Oak Ridge National Laboratory

ISBN: (纸本)9783905674040

It is often desirable or necessary to perform scientific visualization in geographically remote locations, away from the centralized data storage systems that hold massive amounts of scientific results. The larger such scientific datasets are, the less practical it is to move these datasets to remote locations for collaborators. In such scenarios, efficient remote visualization solutions can be crucial. Yet the use of distributed or heterogeneous computing resources raises several challenges for large-scale data visualization. Algorithms must be robust and incorporate advanced load balancing and scheduling techniques. In this paper, we propose a time-critical remote visualization system that can be deployed over distributed and heterogeneous computing resources. We introduce an "importance" metric to measure the need for processing each data partition based on its degree of contribution to the final visual image. Factors contributing to this metric include specific application requirements, value distributions inside the data partition, and viewing parameters. We incorporate "visibility" in our measurement as well so that empty or invisible blocks will not be processed. Guided by the data blocks’ importance values, our dynamic scheduling scheme determines the rendering priority for each visible block. That is, more important blocks will be rendered first. In time-critical scenarios, our scheduling algorithm also dynamically reduces the level-of-detail for the less important regions so that visualization can be finished in a user-specified time limit with highest possible image quality. This system enables interactive sharing of visualization results. To evaluate the performance of this system, we present a case study using a 250 Gigabyte dataset on 170 distributed processors. © 2008 Eurographics Association. All rights reserved.

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Optimizing parallel Performance of Streamline visualization for large Distributed Flow datasets

Optimizing Parallel Performance of Streamline Visualization ...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Li Chen Issei Fujishiro Tsinghua University Beijing China Institute of Fluid Science University of Tohoku Sendai Japan

parallel performance has been a challenging topic in streamline visualization for large unstructured flow datasets on parallel distributed-memory computers. It depends strongly on domain partitions. Unsuitable partitions often lead to severe load imbalance and high frequent communications among the domain partitions. To address the problem, we present an approach to flow data partitioning taking account of flow directions and features. Multilevel spectral graph bisection method is employed to reduce communication and synchronization overhead among distributed domains. Edge weights in the corresponding adjacent matrix is defined based on an anisotropic local diffusion operator which assigns strong coupling along flow direction and weak coupling orthogonal to flow. Meanwhile, the distributions of seed points and flow features such as vortex structure are also considered in partitioning so as to obtain good load balance. The experimental results are given to show the feasibility and effectiveness of our method.

关键词： data flow computing Distributed computing Computer graphics Grid computing data visualization Concurrent computing Anisotropic magnetoresistance large-scale systems parallel algorithms Streaming media

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Efficient parallel radiosity for terascale applications

Efficient parallel radiosity for terascale applications

引用

International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Riwei, Wang Deng, Yuefan Hua, Zhang Lei, Ming College of Information Technical Science NanKai university Tianjin China School of Computer Science and Technology Tianjin university of technology Tianjin China

ISBN: (纸本)9780769533360

Nowdays one of the most active areas of research in computer graphics is focused on improving the performance of radiosity methods for terascale visualization applications. The main problem for simulating large scenes based on radiosity algorithm is a highly time-consuming process. In this paper we present a task mapping model for achieving a good load balance on a distributed memory system. And we keep our focus on the solutions for massive data sets with complex geometric models. In order to evaluate the proposed method, a parallel radiosity algorithm was introduced to test our models on supercomputer simulator with cellular network. An efficient performance in terms of scalability and speedup has been obtained. © 2008 ieee.

关键词： Supercomputers

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Supporting a visualization application on a self-adapting grid middleware

Supporting a visualization application on a self-adapting gr...

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International symposium on parallel and Distributed Processing (IPDPS)

作者： Liang Chen HanWei Shen Gagan Agrawal Department of Computer Science and Engineering Ohio State Uinversity Columbus OH USA

This paper describes how we have used a self-adapting middleware to implement a distributed and adaptive volume rendering application. The middleware we have used is GATES (grid-based adaptive execution on streams), which allows processing of streaming data in a distributed environment. A challenge in supporting such an application on streaming data is to balance the visualization quality and the speed of processing, which can be automatically done by the GATES middleware. We describe how we divide the application into a number of processing stages, and what adaptation parameters we use. Our experimental studies have focused on evaluating the self-adaptation enabled by the middleware, and measuring the overhead associated with the use of middleware.

关键词： Middleware data visualization Application software Rendering (computer graphics) Iterative algorithms Computer science large-scale systems Surgical instruments Surgery Image quality

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Crossing Minimization meets Simultaneous Drawing

Crossing Minimization meets Simultaneous Drawing

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Markus Chimani Michael Junger Michael Schulz Technical University Dortmund Germany University of Cologne Germany

We define the concept of crossing numbers for simultaneous graphs by extending the crossing number problem of traditional graphs. We discuss differences to the traditional crossing number problem, and give an NP-completeness proof and lower and upper bounds for the new problem. Furthermore, we show how existing heuristic and exact algorithms for the traditional problem can be adapted to the new task of simultaneous crossing minimization, and report on a brief experimental study of their implementations.

关键词： data visualization Isosurfaces Rendering (computer graphics) Network servers Computer graphics Computer displays Lighting Costs large-scale systems Workstations

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Interactive Storyboard for Overall Time-Varying data visualization

Interactive Storyboard for Overall Time-Varying Data Visuali...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Aidong Lu Han-Wei Shen North Carolina State University Charlotte USA Ohio State Uinversity USA

large amounts of time-varying datasets create great challenges for users to understand and explore them. This paper proposes an efficient visualization method for observing overall data contents and changes throughout an entire time-varying dataset. We develop an interactive storyboard approach by composing sample volume renderings and descriptive geometric primitives that are generated through data analysis processes. Our storyboard system integrates automatic visualization generation methods and interactive adjustment procedures to provide new tools for visualizing and exploring time-varying datasets. We also provide a flexible framework to quantify data differences and automatically select representative datasets through exploring scientific data distribution features. Since this approach reduces the visualized data amount into a more understandable size and format for users, it can be used to effectively visualize, represent, and explore a large time-varying dataset. Initial user study results show that our approach shortens the exploration time and reduces the number of datasets that users visualized individually. This visualization method is especially useful for situations that require close observance or are not capable of interactive rendering, such as documentation and demonstration.

关键词： data visualization data analysis Feature extraction Time varying systems Computer graphics Documentation Information analysis Shadow mapping Acceleration Rendering (computer graphics)

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Multi-resolution Volume Rendering of large Time-Varying data using Video-based Compression

Multi-resolution Volume Rendering of Large Time-Varying Data...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Chia-Lin Ko Horng-Shyang Liao Tsai-Pei Wang Kuang-Wei Fu Ching-Yao Lin Jung-Hong Chuang Department of Computer Science National Chiao Tung University Taiwan National Center of High-performance Computing Taiwan

We present a new framework that combines the hierarchical multi-resolution representation with video-based compression to manage and render large scale time-varying data. In the preprocessing step, the proposed method first constructs a multi-resolution hierarchy using octree structure for each individual time step, and then applies a motion-compensation-based prediction to compress the octree nodes. During rendering stage, the data is decompressed on-the-fly and rendered using hardware texture mapping. The proposed approach eliminates the hierarchical decompression dependency commonly found in the conventional hierarchical wavelet representation methods, which leads to a more efficient reconstruction of data along the time axis. The system provides the user with a spatial region-of-interest (ROI) to adjust the spatial level-of-detail (LOD) selection, and a temporal ROI which is a sub-region only for frequent update during playback. With a suitable control of both ROIs, our system can reach an interactive playback frame rate. This allows the user to observe the dynamic nature of large time-varying data sets.

关键词： Multiresolution analysis Hardware Interpolation Wavelet transforms Spatial resolution Computer graphics data visualization Rendering (computer graphics) Computer science data communication

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Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization

Model-guided performance tuning of parameter values: A case ...

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International symposium on parallel and Distributed Processing (IPDPS)

作者： Yoonju Lee Nelson Bhupesh Bansal Mary Hall Aiichiro Nakano Kristina Lerman USC Information Sciences Institute Marina del Rey CA USA University of Southern California Los Angeles CA USA

In this paper, we consider the interaction between application programmers and tools that automatically search a space of application-level parameters that are believed to impact the performance of an application significantly. We study performance tuning of a large scientific application, the visualization component of a molecular dynamics simulation. The key contribution of the approach is the use of high-level programmer-specified models of the expected performance behavior of individual parameters. We use these models to reduce the search space associated with the range of parameter values and achieve results that perform close to that of a more exhaustive search of the parameter space. With this case study, we show the importance of appropriate parameter selection, with the difference between best-case and worst-case performance with a particular input data set and processor configuration of up to a factor of 17. We show that through the use of models, we can drastically reduce search time, examining only 0.3% to 5% of the search space, and usually select an implementation that is close to the best performance, within 0.84% to 15%, even though the models are not completely accurate.

关键词： visualization Programming profession Computer architecture Predictive models Petascale computing graphics Field programmable gate arrays High performance computing Engines Application software

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Interactive Exploration of Remote Isosurfaces with Point-Based Non-Photorealistic Rendering

Interactive Exploration of Remote Isosurfaces with Point-Bas...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

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

We present a non-photo realistic rendering technique for interactive exploration of isosurfaces generated from remote volumetric data. Instead of relying on the conventional smooth shading technique to render the isosurfaces, a point-based technique is used to represent and render the isosurfaces in a remote client-server environment. The non-photo realistic nature of the proposed rendering method enables the server to transmit only the essential surface features, which substantially reduces the network traffic. The algorithm also utilizes frame coherence and efficiently encodes the isosurface configuration inside each voxel cell to further minimize the network overhead. Finally, our algorithm can adjust the point distributions using different illumination settings to adapt to different network speeds.

关键词： Isosurfaces data visualization Rendering (computer graphics) Network servers Computer graphics Computer displays Lighting Costs large-scale systems Workstations

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Pixelplexing: Gaining Display Resolution Through Time

Pixelplexing: Gaining Display Resolution Through Time

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： James Shearer Michael Ogawa Kwan-Liu Ma Toby Kohlenberg Visualization and Interaction Design Innovation (VIDi) Laboratory University of California Davis USA Intel Corporation USA

Animation is frequently utilized to visually depict change in time- varying data sets. For this task, it is a natural fit. Yet explicit animation is rarely employed for static data. We discuss the use of animation to overcome three common limitations faced by information visualization applications in the context of small-display devices: constraints on the output display, limited interaction possibilities, and high data density. We provide concrete examples of applying animation to combat such limitations for four common visualization types: geospatial data, treemaps, parallel coordinate displays, and large graphs. Unlike previous work which examines animation for maintaining user orientation during view changes or for displaying data variables, we discuss animation's utility for multiplexing available screen space. In the context of constrained displays, we demonstrate its ability to effectively gain screen resolution, to quickly uncover trends, to help find unexpected data patterns, and to reduce visual clutter.

关键词： data visualization Keyboards Facial animation large screen displays Filtering Mice Technological innovation Concrete Tree graphs Scalability

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