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ieee visualization 2004 Conference

作者： Gansner, ER Koren, Y North, SC AT&T Labs Res Shannon Lab Florham Pk NJ 07932 USA

ISBN: (纸本)0780387793

Graph drawing is a basic visualization tool that works well for graphs having up to hundreds of nodes and edges. At greater scale, data density and occlusion problems often negate its effectiveness. Conventional pan-and-zoom, multiscale, and geometric fisheye views are not fully satisfactory solutions to this problem. As an alternative, we propose a topological zooming method. It precomputes a hierarchy of coarsened graphs that are combined on-the-fly into renderings, with the level of detail dependent on distance from one or more foci. A related geometric distortion method yields constant information density displays from these renderings.

关键词： topological fisheye large graph visualization

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HiTSEE: A visualization tool for hit selection and analysis in high-throughput screening experiments

HiTSEE: A visualization tool for hit selection and analysis ...

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1st ieee symposium on Biological data visualization, BioVis 2011

作者： Bertini, Enrico Strobelt, Hendrik Braun, Joachim Deussen, Oliver Groth, Ulrich Mayer, Thomas U. Merhof, Dorit University of Konstanz Germany

ISBN: (纸本)9781467300025

We present HiTSEE (High-Throughput Screening Exploration Environment) a visualization tool for the analysis of large chemical screens for the analysis of biochemical processes. The tool supports the analysis of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach based on the projection of one or few molecules of interest and the expansion around their neighborhood allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies. © 2011 ieee.

关键词： Throughput

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Comparative case study between D3 & Highcharts on Lustre metadata visualization

Comparative case study between D3 & Highcharts on Lustre met...

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2013 3rd ieee symposium on large-Scale data Analysis and visualization, LDAV 2013

作者： Eltayeby, Omar John, Dwayne Patel, Pragnesh Simmerman, Scott Clark Atlanta University United States National Institute for Computational Sciences United States

ISBN: (纸本)9781479916597

One of the challenging tasks in visual analytics is to target clustered time-series data sets, since it is important for data analysts to discover patterns changing over time while keeping their focus on particular subsets. A web-based application to monitor the Lustre file system for system administrators and operation teams has been developed using D3 and Highcharts. This application is a use case to compare those JavaScript libraries demonstrating the differences in capabilities of using them. The goal of this application is to provide time-series visuals of the Remote Procedure Calls (RPCs) and storage patterns of users on Kraken, a University of Tennessee High Performance Computing (HPC) resource in Oak Ridge National Laboratory (ORNL). © 2013 ieee.

关键词： visualization

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The ParaView coprocessing library: A scalable, general purpose in situ visualization library

The ParaView coprocessing library: A scalable, general purpo...

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1st ieee symposium on large-Scale data Analysis and visualization 2011, LDAV 2011

作者： Fabian, Nathan Moreland, Kenneth Thompson, David Bauer, Andrew C. Marion, Pat Gevecik, Berk Rasquin, Michel Jansen, Kenneth E. Sandia National Laboratories United States Kitware Inc. United States University of Colorado Boulder CO United States

ISBN: (纸本)9781467301541

As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coprocessing. We describe how coprocessing algorithms (building on many from VTK) can be linked and executed directly from within a scientific simulation or other applications that need visualization and analysis. We also describe how the ParaView Coprocessing Library can write out partially processed, compressed, or extracted data readable by a traditional visualization application for interactive post-processing. Finally, we will demonstrate the library's scalability in a number of real-world scenarios. © 2011 ieee.

关键词： data visualization

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Fast and efficient compression of floating-point data

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2006年第5期12卷 1245-1250页

作者： Lindstrom, Peter Isenburg, Martin Lawrence Livermore Natl Lab Livermore CA 94551 USA Univ Calif Berkeley Berkeley CA 94720 USA

large scale scientific simulation codes typically run on a cluster of CPUs that write/read time steps to/from a single file system. As data sets are constantly growing in size, this increasingly leads to I/O bottlenecks. When the rate at which data is produced exceeds the available I/O bandwidth, the simulation stalls and the CPUs are idle. data compression can alleviate this problem by using some CPU cycles to reduce the amount of data needed to be transfered. Most compression schemes, however, are designed to operate offline and seek to maximize compression, not throughput. Furthermore, they often require quantizing floating-point values onto a uniform integer grid, which disqualifies their use in applications where exact values must be retained. We propose a simple scheme for lossless, online compression of floating-point data that transparently integrates into the I/O of many applications. A plug-in scheme for data-dependent prediction makes our scheme applicable to a wide variety of data used in visualization, such as unstructured meshes, point sets, images, and voxel grids. We achieve state-of-the-art compression rates and speeds, the latter in part due to an improved entropy coder. We demonstrate that this significantly accelerates I/O throughput in real simulation runs. Unlike previous schemes, our method also adapts well to variable-precision floating-point and integer data.

关键词： high throughput lossless compression file compaction for I/O efficiency fast entropy coding range coder predictive coding large scale simulation and visualization

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Contour tree depth images for large data visualization

Contour tree depth images for large data visualization

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15th Eurographics symposium on parallel graphics and visualization, EG PGV 2015

作者： Biedert, T. Garth, C. University of Kaiserslautern Germany

ISBN: (纸本)9783905674811

High-fidelity simulation models on large-scale parallel computer systems can produce data at high computational throughput, but modern architectural trade-offs make full persistent storage to the slow I/O subsystem prohibitively costly with respect to time. We demonstrate the feasibility and potential of combining in situ topological contour tree analysis and compact image-based data representation to address this problem. Our experiments show significant reductions in storage requirements using topology-guided layered depth imaging, while preserving flexibility for explorative visualization and analysis. Our approach represents an effective and easy-to-control trade-off between storage overhead and visualization fidelity for large data visualization. © The Eurographics Association 2015.

关键词： visualization

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Importance-driven visualization layouts for large time series data

Importance-driven visualization layouts for large time serie...

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ieee symposium on Information visualization (InfoVis 05)

作者： Hao, MC Dayal, U Keim, DA Schreck, T Hewlett Packard Labs Palo Alto CA 94304 USA

ISBN: (纸本)078039464X

Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in parallel. Sets of time series may show intrinsic hierarchical relationships and varying degrees of importance among the individual time series. Effective techniques for visually analyzing large sets of time series should encode the relative importance and hierarchical ordering of the time series data by size and position, and should also provide a high degree of regularity ill order to support comparability by the analyst. In this paper, we present a framework for visualizing large sets of time series. Based on the notion of inter time series importance relationships, we define a set of objective functions that space-filling layout schemes for time series data should obey. We develop an efficient algorithm addressing the identified problems by generating layouts that reflect hierarchy- and importance-based relationships in a regular layout with favorable aspect ratios. We apply our technique to a number of real-world data sets including sales and stock data, and we compare our technique with an aspect ratio aware variant of the well-known TreeMap algorithm. The examples show the advantages and practical usefulness of our layout algorithm.

关键词： information visualization time series space-filling layout generation

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ETH: An Architecture for Exploring the Design Space of In-situ Scientific visualization 34

ETH: An Architecture for Exploring the Design Space of In-si...

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34th ieee International parallel and Distributed Processing symposium (IPDPS)

作者： Abram, Gregory Adhinarayanan, Vignesh Feng, Wu-chun Rogers, David Ahrens, James Univ Texas Austin Texas Adv Comp Ctr Austin TX 78758 USA Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA Los Alamos Natl Lab Comp Computat & Stat Sci Div Los Alamos NM 87545 USA

ISBN: (纸本)9781728168760

As high-performance computing (HPC) moves towards the exascale era, large-scale scientific simulations are generating enormous datasets. Many techniques (e.g., in-situ methods, data sampling, and compression) have been proposed to help visualize these large datasets under various constraints such as storage, power, and energy. However, evaluating these techniques and understanding the trade-offs (e.g., performance, efficiency, and quality) remains a challenging task. To enable exploration of the design space across such tradeoffs, we propose the Exploration Test Harness (ETH), an architecture for the early-stage exploration of visualization and rendering approaches, job layout, and visualization pipelines. ETH covers a broader parameter space than current large-scale visualization applications such as ParaView and VisIt. It also promotes the study of simulation-visualization coupling strategies through a data-centric approach, rather than requiring coupling with a specific scientific simulation code. Furthermore, with experimentation on an extensively instrumented supercomputer, we study more metrics of interest than was previously possible. Importantly, ETH will help to answer important what-if scenarios and trade-off questions in the early stages of pipeline development, helping scientists to make informed choices about how to best couple a simulation code with visualization at extreme scale.

关键词： In-situ Techniques High-Performance Computing Design-space Exploration Raycasting Energy Efficiency

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Use Virtual Reality to Enhance Intercultural Sensitivity: A Randomised parallel Longitudinal Study

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2022年第11期28卷 3673-3683页

作者： Li, Chen Kon, Angel Lo Lo Shing, Horace Ho Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China City Univ Hong Kong Ctr Innovat Applicat Internet & Multimedia Techno Hong Kong Peoples R China City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China

Prior studies suggest that emotional empathy is one of the components of intercultural sensitivity - the affective dimension under the concept of intercultural communication competence. Based on existing theories and findings, this paper reports a randomised parallel longitudinal study investigating the use of virtual reality (VR) exposure to enhance intercultural sensitivity. A total of 80 participants (36 females and 44 males) joined the study and were included in the data analysis. The participants were randomly assigned to the VR group, the video group, and the control group. Their intercultural sensitivity was measured three times: one week before the exposure (T-1), right after the exposure (T-2), and three weeks after the exposure (T-3). The results suggested that (1) the intercultural sensitivity of the VR group was significantly enhanced in both within-subject comparisons and between-subject comparisons, (2) there were no significant differences in intercultural sensitivity between the VR group and the video group at T-2, but the VR group retained the enhancement better at T-3, and (3) the sense of presence and emotional empathy well predicted the change in intercultural sensitivity of the VR group. The results, together with the participants' feedback and comments, provide new insights into the practice of using VR for intercultural sensitivity training and encourage future research on exploring the contributing factors of the results.

关键词： Virtual reality presence intercultural sensitivity emotional empathy

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ieee symposium on large data Analysis and visualization 2015, LDAV 2015 - Proceedings

IEEE Symposium on Large Data Analysis and Visualization 2015...

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5th ieee symposium on large data Analysis and visualization, LDAV 2015

ISBN: (纸本)9781467385176

The proceedings contain 25 papers. The topics discussed include: in situ depth maps based feature extraction and tracking;tracking features in embedded surfaces: understanding extinction in turbulent combustion;cylindrical acceleration structures for large hexahedral volume visualization;flying edges: a high-performance scalable isocontouring algorithm;Lagrangian representations of flow fields with parameter curves;a compact multivariate histogram representation for query-driven visualization;a visual analytics paradigm enabling trillion-edge graph exploration;scalable visualization of discrete velocity decompositions using spatially organized histograms;exploring tradeoffs between power and performance for a scientific visualization algorithm;and utilizing many-core accelerators for halo and center finding within a cosmology simulation.

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