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ieee symposium on large data Analysis and visualization

作者： Nachbaur, Daniel Dumusc, Raphael Bilgili, Ahmet Hernando, Juan Eilemann, Stefan Ecole Polytech Fed Lausanne Blue Brain Project Lausanne Switzerland UPM CeSViMa Helsinki Finland

ISBN: (纸本)9781479952151

We present a complete, robust and simple to use hardware and software stack delivering remote parallel rendering of complex geometrical and volumetric models to high resolution tiled display walls in a production environment. We describe the setup and configuration, present preliminary benchmarks showing interactive framerates, and describe our contributions for a seamless integration of all the software components.

关键词： tiled displays interactive remote rendering parallel rendering

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parallel Contour-Buildup algorithm for the molecular surface

Parallel Contour-Buildup algorithm for the molecular surface

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1st ieee symposium on Biological data visualization, BioVis 2011

作者： Krone, Michael Grottel, Sebastian Ertl, Thomas University of Stuttgart Germany University of Stuttgart Germany

ISBN: (纸本)9781467300025

Molecular Dynamics simulations are an essential tool for many applications. The simulation of large molecules like proteins over long trajectories is of high importance e. g. for pharmaceutical, biochemical and medical research. For analyzing these data sets interactive visualization plays a crucial role as details of the interactions of molecules are often affected by the spatial relations between these molecules. From the large range of visual representations for such data, molecule surface representations are of high importance as they clearly depict geometric interactions, such as docking or substrate channel accessibility. However, these surface visualizations are computationally demanding and thus pose a challenge for interactive visualization of time-dependent data sets. We propose an optimization of the Contour-Buildup algorithm for the Solvent Excluded Surface (SES) to remedy this issue. An optimized subdivision of calculation tasks of the original algorithm allows for full utilization of massive parallel processing hardware. Our approach is especially well suited for modern graphics hardware employing the CUDA programming language. As we do not rely on any pre-computations our method is intrinsically applicable to time-dependent data with arbitrarily long trajectories. We are able to visualize the SES for molecules with up to ten thousand atoms interactively on standard consumer graphics cards. © 2011 ieee.

关键词： Molecules

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The InfoVis Toolkit

The InfoVis Toolkit

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10th Annual ieee symposium on Information visualization (InfoVis 2004)

作者： Fekete, JD Univ Paris 11 INRIA Futurs LRI F-91405 Orsay France

ISBN: (纸本)0780387791

This article presents the InfoVis Toolkit, designed to support the creation, extension and integration of advanced 2D Information visualization components into interactive Java Swing applications. The InfoVis Toolkit provides specific data structures to achieve a fast action/feedback loop required by dynamic queries. It comes with a large set of components such as range sliders and tailored control panels required to control and configure the visualizations. These components are integrated into a coherent framework that simplifies the management of rich data structures and the design and extension of visualizations. Supported data structures currently include tables, trees and graphs. Supported visualizations include scatter plots, time series, parallel coordinates, treemaps, icicle trees, node-link diagrams for trees and graphs and adjacency matrices for graphs. All visualizations can use fisheye lenses and dynamic labeling. The InfoVis Toolkit supports hardware acceleration when available through Agile2D, an implementation of the Java graphics API based on OpenGL, achieving speedups of 10 to 200 times. The article also shows how new visualizations can be added and extended to become components, enriching visualizations as well as general applications.

关键词： information visualization toolkit graphics integration

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Visual Interactive Map Matching

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2018年第6期24卷 1881-1892页

作者： Krueger, Robert Simeonov, Georgi Beck, Fabian Ertl, Thomas Univ Stuttgart Inst Visualizat & Interact Syst D-70174 Stuttgart Germany Univ Duisburg Essen Paluno D-47057 Duisburg Germany

Map matching is the process of assigning observed geographic positions of vehicles and their trajectories to the actual road links in a road network. In this paper, we present Visual Interactive Map Matching, a visual analytics approach to fine-tune the data preprocessing and matching process. It is based on ST-matching, a state-of-the-art and easy-to-understand map matching algorithm. Parameters of the preprocessing step and algorithm can be optimized with immediate visual feedback. visualizations show current matching issues and performance metrics on a map and in diagrams. Manual and computer-supported editing of the road network model leads to a refined alignment of trajectories and roads. We demonstrate our approach with large-scale taxi trajectory data. We show that optimizing the matching on a subsample results in considerably improved matching quality, also when later scaled to the full dataset. An optimized matching ensures data faithfulness and prevents misinterpretation when the matched data might be investigated in follow-up analysis.

关键词： Map matching data cleaning data transformation and representation geographic visualization

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parallel POLYGON RENDERING FOR MESSAGE-PASSING ARCHITECTURES

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ieee parallel & DISTRIBUTED TECHNOLOGY 1994年第2期2卷 17-28页

作者： CROCKETT, TW ORLOFF, T MINERVA SOFTWARE MINNEAPOLISMN 55415

Applications such as real-time animation and scientific visualization demand high performance for rendering complex 3D abstract data models into 2D images. As large applications migrate to highly parallel supercomputers, how can we exploit the available parallelism to keep the rendering on the supercomputer? To answer this question, we developed a parallel polygon renderer for general-purpose MIMD distributed-memory message-passing systems. It exploits object-level and image-level parallelism, and can run on systems containing from one processor to a number bounded by the number of scan lines in the resulting image. Unlike earlier approaches, ours multiplexes the transformation and rasterization phases on the same machine. This reduces memory usage and network contention, and overlaps computation and communication.

关键词： Rendering (computer graphics) parallel processing Supercomputers Application software Computer architecture Computer applications Computer graphics data structures Round robin Image segmentation

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ieee symposium on large data Analysis and visualization 2012, LDAV 2012 - Proceedings

IEEE Symposium on Large Data Analysis and Visualization 2012...

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2nd symposium on large-Scale data Analysis and visualization, LDAV 2012

ISBN: (纸本)9781467347334

The proceedings contain 18 papers. The topics discussed include: panning and zooming the observable universe with subsequence-matching trees;interactive exploration of large-scale time-varying data using dynamic tracking graphs;interactive transfer function design on large multiresolution volumes;query-driven parallel exploration of large datasets;efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data;parallel stream surface computation for large data sets;salient time steps selection from large scale time-varying data sets with dynamic time warping;Gaussian mixture model based volume visualization;virtual rheoscopic fluids for dense, large-scale fluid flow visualizations;meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data;redirecting research in large-format displays for visualization;flow-guided file layout for out-of-core pathline computation;and scalable computation of distributions from large scale data sets.

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Multi-Resolution Climate Ensemble Parameter Analysis with Nested parallel Coordinates Plots

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2017年第1期23卷 81-90页

作者： Wang, Junpeng Liu, Xiaotong Shen, Han-Wei Lin, Guang Ohio State Univ Columbus OH 43210 USA Purdue Univ W Lafayette IN 47907 USA

Due to the uncertain nature of weather prediction, climate simulations are usually performed multiple times with different spatial resolutions. The outputs of simulations are multi-resolution spatial temporal ensembles. Each simulation run uses a unique set of values for multiple convective parameters. Distinct parameter settings from different simulation runs in different resolutions constitute a multi-resolution high-dimensional parameter space. Understanding the correlation between the different convective parameters, and establishing a connection between the parameter settings and the ensemble outputs are crucial to domain scientists. The multi-resolution high-dimensional parameter space, however, presents a unique challenge to the existing correlation visualization techniques. We present Nested parallel Coordinates Plot (NPCP), a new type of parallel coordinates plots that enables visualization of intra-resolution and inter-resolution parameter correlations. With flexible user control, NPCP integrates superimposition, juxtaposition and explicit encodings in a single view for comparative data visualization and analysis. We develop an integrated visual analytics system to help domain scientists understand the connection between multi-resolution convective parameters and the large spatial temporal ensembles. Our system presents intricate climate ensembles with a comprehensive overview and on-demand geographic details. We demonstrate NPCP, along with the climate ensemble visualization system, based on real-world use-cases from our collaborators in computational and predictive science.

关键词： parallel coordinates plots parameter analysis multi-resolution climate ensembles

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Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data

Efficient parallel extraction of crack-free isosurfaces from...

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2nd symposium on large-Scale data Analysis and visualization, LDAV 2012

作者： Weber, Gunther H. Childs, Hank Meredith, Jeremy S. Lawrence Berkeley National Laboratory University of California Davis CA United States Oak Ridge National Laboratory United States

ISBN: (纸本)9781467347334

We present a novel extraction scheme for crack-free isosurfaces from adaptive mesh refinement (AMR) data that builds on prior work utilizing dual grids and filling resulting gaps with stitch cells. We use a case-table-based approach to simplify the implementation of stitch cell generation. The most significant benefit of our new approach is that it uses ghost data to handle parallel isosurface extraction efficiently. We further present the results of applying this method to large scale data sets and analyze its computation time on parallel high-performance computing (HPC) platforms. © 2012 ieee.

关键词： Mesh generation

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Adaptive Refinement of the Flow Map Using Sparse Samples

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2013年第12期19卷 2753-2762页

作者： Barakat, Samer S. Tricoche, Xavier Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

We present a new efficient and scalable method for the high quality reconstruction of the flow map from sparse samples. The flow map describes the transport of massless particles along the flow. As such, it is a fundamental concept in the analysis of transient flow phenomena and all so-called Lagrangian flow visualization techniques require its approximation. The flow map is generally obtained by integrating a dense 1D, 2D, or 3D set of particles across the domain of definition of the flow. Despite its embarrassingly parallel nature, this computation creates a performance bottleneck in the analysis of large-scale datasets that existing adaptive techniques alleviate only partially. Our iterative approximation method significantly improves upon the state of the art by precisely modeling the flow behavior around automatically detected geometric structures embedded in the flow, thus effectively restricting the sampling effort to interesting regions. Our data reconstruction is based on a modified version of Sibson's scattered data interpolation and allows us at each step to offer an intermediate dense approximation of the flow map and to seamlessly integrate regions that will be further refined in subsequent steps. We present a quantitative and qualitative evaluation of our method on different types of flow datasets and offer a detailed comparison with existing techniques.

关键词： Lagrangian flow visualization flow map edge features scattered data interpolation sparse sampling adaptive refinement parallel reconstruction

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

1st IEEE Symposium on Large-Scale Data Analysis and Visualiz...

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

ISBN: (纸本)9781467301541

The proceedings contain 28 papers. The topics discussed include: visualizing multiscale, multiphysics simulation data: brain blood flow;toward simulation-time data analysis and I/O acceleration on leadership-class systems;atypical behavior identification in large-scale network traffic;revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision;histogram spectra for multivariate time-varying volume LOD selection;parallel clustering for visualizing large scientific line data;evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms;parallel in situ indexing for data-intensive computing;incremental, approximate database queries and uncertainty for exploratory visualization;the ParaView coprocessing library: a scalable, general purpose in situ visualization library;and dax toolkit: a proposed framework for data analysis and visualization at extreme scale.

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