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检索条件"任意字段=Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics"

共 388 条记录，以下是81-90 订阅

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Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data

Meta parallel coordinates for visualizing features in large,...

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

作者： Dasgupta, Aritra Kosara, Robert Gosink, Luke UNC Charlotte United States Pacific Northwest National Lab. United States

ISBN: (纸本)9781467347334

Managing computational complexity and designing effective visual representations are two important challenges for the visualization of large, complex, high-dimensional datasets. parallel coordinates are an effective technique for visualizing high-dimensional data, but do not scale well to very large datasets. The addition of the temporal dimension leads to more uncertainty due to clutter on screen. Consequently, this poses a significant challenge for visually finding trends and patterns that maximize insight about the underlying time-varying properties of the data. To address these problems, we present meta parallel coordinates, a parallel coordinates display that is guided by perceptually motivated visual metrics. These metrics describe the visual structures typically found in parallel coordinates and thus aid the user's analysis by providing meaningful views of the data. Since they are computed in screen space, our metrics are computationally more efficient than data-based metrics. Our choice of metrics is driven by the different analytical tasks that a user typically wants to perform with time-varying multivariate data. In particular, we have worked with domain scientists who performed simulations of bioremediation experiments, and use their data and results to demonstrate the usefulness of our approach. © 2012 ieee.

关键词： Bioremediation

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parallel stream surface computation for large data sets

Parallel stream surface computation for large data sets

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

作者： Camp, David Childs, Hank Garth, Christoph Pugmire, David Joy, Kenneth I. Lawrence Berkeley National Laboratory University of California Davis CA United States University of Kaiserslautern Germany Oak Ridge National Laboratory United States University of California Davis CA United States

ISBN: (纸本)9781467347334

parallel stream surface calculation, while highly related to other particle advection-based techniques such as streamlines, has its own unique characteristics that merit independent study. Specifically, stream surfaces require new integral curves to be added continuously during execution to ensure surface quality and accuracy;performance can be improved by specifically accounting for these additional particles. We present an algorithm for generating stream surfaces in a distributed-memory parallel setting. The algorithm incorporates multiple schemes for parallelizing particle advection and we study which schemes work best. Further, we explore speculative calculation and how it can improve overall performance. In total, this study informs the efficient calculation of stream surfaces in parallel for large data sets, based on existing integral curve functionality. © 2012 ieee.

关键词： parallel programming

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Query-driven parallel exploration of large datasets

Query-driven parallel exploration of large datasets

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

作者： Atanasov, Atanas Srinivasan, Madhusudhanan Weinzierl, Tobias Technische Universität München Germany King Abdullah University of Science and Technology Germany

ISBN: (纸本)9781467347334

Recent advances in supercomputing capabilities pose a multi-faceted data retrieval challenge to the exploration and visualisation of the obtained results: the bandwidth between visualisation devices and the high-performance computing (HPC) clusters neither scales with the simulation data nor with the compute power, the total memory footprint of the data on the supercomputer often exceeds the aggregate memory on the visualisation, and the data has to be distributed among several visualisation nodes working in parallel to render a visual. In the present paper, we introduce an on-demand data exploration paradigm that leverages HPC capabilities and distributed visualisation without requiring a large memory footprint on the visualisation cluster. Regions of interest within the data are specified by the user in the form of queries. These queries, augmented by node identifiers on the visualisation cluster, are automatically distributed among multiple compute nodes of the HPC cluster. The compute nodes work in parallel to assemble and merge data in response to the user query until the data distribution matches the visualisation cluster's topology. Query results are then simultaneously streamed to the right visualisation nodes. Our approach allows for interactive exploration of data residing on HPC resources, irrespective of memory footprint. The streaming of data to the visualisation nodes scales with the bandwidth of the interconnecting network and the HPC cluster's domain decomposition, while the latter is hidden from the visualisation and can change dynamically. We demonstrate the capability of our query-driven approach with a turbulent mixing dataset, and show that it supports interactive data exploration on HPC systems. © 2012 ieee.

关键词： visualization

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ieee symposium on Biological data visualization 2012, BioVis 2012 - proceedings

IEEE Symposium on Biological Data Visualization 2012, BioVis...

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2nd ieee symposium on Biological data visualization, BioVis 2012

ISBN: (纸本)9781467347303

The proceedings contain 16 papers. The topics discussed include: interactive extraction of neural structures with user-guided morphological diffusion;volume visualization in serial electron microscopy using local variance;INCIDE the brain of a bee: visualising honeybee brain activity in real time by semantic segmentation;towards real-time visualization of detailed neural tissue models: view frustum culling for parallel rendering;heterogeneity-based guidance for exploring multiscale data in systems biology;MaTSE: the microarray time-series explorer;ADVISe: visualizing the dynamics of enzyme annotations in UniProt/SwissProt;gene-RiViT: a visualization tool for comparative analysis of gene neighborhoods in prokaryote;mzRepeat: visual analysis of lipids in mass spectrometry;similarity analysis of cell movements in video microscopy;and epithelial cell reconstruction and visualization of the developing drosophila wing imaginal disc.

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Performance Study of SIMD Programming Models on Intel Multicore Processors

Performance Study of SIMD Programming Models on Intel Multic...

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26th ieee International parallel and Distributed Processing symposium (IPDPS) / Workshop on High Performance data Intensive Computing

作者： Kristof, Peter Yu, Hongtao Li, Zhiyuan Tian, Xinmin Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA Intel Corp Mobile Comp & Compilers Santa Clara CA USA

ISBN: (纸本)9780769546766

Modern multicore hardware employs a variety of parallel execution units, including multiple CPU cores for executing multiple threads simultaneously, vector units such as the Intel SIMD on the CPU cores, as well as GPU-like processing arrays. Availability of such unprecedented level of parallelism on main-stream computers offers an enormous potential to enable a new generation of computation-intensive nontraditional applications. On the other hand, how to best harness the hardware parallelism presents a new challenge to application programmers, language designers and compiler developers. In this paper, we evaluate the impact of several different parallel execution models, especially the new SIMD vectorization methods, supported by the latest Intel ICC compiler (version 12.1), using three computation-intensive nontraditional parallel applications as the test workload. Unlike traditional numerical programs, these applications use highly irregular data structures and therefore present nontrivial challenges to effective use of SIMD vector units. The first application is a game engine architecture requiring real-time performance. The second application involves a kd-tree traversal, which is typical to the state-of-the-art 3D ray-tracing applications. The last application processes data for large-scale weather visualization system in the order of tens of minutes. We compare the execution time of these codes using different SIMD models supported by ICC in conjunction with parallel threading under TBB and OpenMP.

关键词： Intel ICC compiler parallel programming SIMD optimization computer graphics

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Towards real-time visualization of detailed neural tissue models: View frustum culling for parallel rendering

Towards real-time visualization of detailed neural tissue mo...

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2nd ieee symposium on Biological data visualization, BioVis 2012

作者： Hernando, Juan B. Schürmann, Felix Pastor, Luis CeSViMa Universidad Politécnica de Madrid Spain Blue Brain Project École Polytechnique Fédérale de Lausanne Switzerland GMRV Universidad Rey Juan Carlos Spain

ISBN: (纸本)9781467347303

Recent efforts to model neural tissue in great anatomical detail play an important role in the shift towards simulation-based brain research. visualization of those detailed models is an important part of the scientific workflow, allowing domain scientists to inspect and analyze the models as a virtual tissue. However, these visualizations pose several computational and interface challenges, from issues such as data size and geometrical and visual complexity. Manual or query driven selection of visual attributes such as color, transparency, transfer functions, visibility are important components for the usability of those visualizations, yet this requires the rendering to be as responsive as possible. Given the data complexity (several million triangles) - despite the power of current GPUs - parallel rendering is the only choice to visualize the full circuits at interactive levels. In particular, sort-first is an appropriate choice to deal with transparency, however it requires efficient view frustum culling. This paper presents two novel techniques for view frustum culling based on a bounding volume skeleton which is created from the geometrical skeleton of the neurons. These skeletons are combined with spatial partitions and some GPU processing to extract the portions of the neurons that need to be rendered while still facilitating interactive changes in the attributes. Experimental results show that the proposed method yields better results than classical approaches such as OBB-trees and looks promising for sort-first environments. © 2012 ieee.

关键词： visualization

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Subband coding for large-scale scientific simulation data using JPEG 2000

Subband coding for large-scale scientific simulation data us...

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2012 ieee Southwest symposium on Image Analysis and Interpretation, SSIAI 2012

作者： Brislawn, Christopher M. Woodring, Jonathan L. Mniszewski, Susan M. DeMarle, David E. Ahrens, James P. Los Alamos National Laboratory Los Alamos NM 87545-1663 United States Kitware Inc. 21 Corporate Drive Clifton Park NY 12065-8662 United States

ISBN: (纸本)9781467318303

The ISO/IEC JPEG 2000 image coding standard is a family of source coding algorithms targeting high-resolution image communications. JPEG 2000 features highly scalable embedded coding features that allow one to interactively zoom out to reduced resolution thumbnails of enormous data sets or to zoom in on highly localized regions of interest with very economical communications and rendering requirements. While intended for fixed-precision input data, the implementation of the irreversible version of the standard is often done internally in floating point arithmetic. Moreover, the standard is designed to support high-bit-depth data. Part 2 of the standard also provides support for three-dimensional data sets such as multicomponent or volumetric imagery. These features make JPEG 2000 an appealing candidate for highly scalable communications coding and visualization of two- and three-dimensional data produced by scientific simulation software. We present results of initial experiments applying JPEG 2000 to scientific simulation data produced by the parallel Ocean Program (POP) global ocean circulation model, highlighting both the promise and the many challenges this approach holds for scientific visualization applications. © 2012 ieee.

关键词： data visualization

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EuroVis 2012 - Eurographics Conference on visualization 2012

EuroVis 2012 - Eurographics Conference on Visualization 2012

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14th Eurographics Conference on visualization 2012, EuroVis 2012

The proceedings contain 50 papers. The topics discussed include: graph bundling by kernel density estimation;kelp diagrams: point set membership visualization;interactive visualization of generalized virtual 3D city models using level-of-abstraction transitions;multi-layer illustrative dense flow visualization;illustrative membrane clipping;scalable detection of spatiotemporal encounters in historical movement data;travel-route-centered metro map layout and annotation;a quantized boundary representation of 2D flows;magnetic flux topology of 2D point dipoles;parallel computation of 3D Morse-Smale complexes;drawing large graphs by low-rank stress majorization;using signposts for navigation in large graphs;comparative evaluation of an interactive time-series visualization that combines quantitative data with qualitative abstractions;and a qualitative study on the exploration of temporal changes in flow maps with animation and small-multiples.

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A parallel and distributed surrogate model implementation for computational steering

A parallel and distributed surrogate model implementation fo...

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2012 11th International symposium on parallel and Distributed Computing, ISPDC 2012

作者： Butnaru, Daniel Buse, Gerrit Pflüger, Dirk Institut für Informatik Technische Universität München Germany

ISBN: (纸本)9780769548050

Understanding the influence of multiple parameters in a complex simulation setting is a difficult task. In the ideal case, the scientist can freely steer such a simulation and is immediately presented with the results for a certain configuration of the input parameters. Such an exploration process is however not possible if the simulation is computationally too expensive. For these cases we present in this paper a scalable computational steering approach utilizing a fast surrogate model as substitute for the time-consuming simulation. The surrogate model we propose is based on the sparse grid technique, and we identify the main computational tasks associated with its evaluation and its extension. We further show how distributed data management combined with the specific use of accelerators allows us to approximate and deliver simulation results to a high-resolution visualization system in real-time. This significantly enhances the steering workflow and facilitates the interactive exploration of large datasets. © 2012 ieee.

关键词： Real time systems

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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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