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

作者： Moreland, Kenneth Ayachit, Utkarsh Geveci, Berk Ma, Kwan-Liu Sandia National Laboratories United States Kitware Inc. United States University of California Davis CA United States

ISBN: (纸本)9781467301541

Experts agree that the exascale machine will comprise processors that contain many cores, which in turn will necessitate a much higher degree of concurrency. Software will require a minimum of a 1,000 times more concurrency. Most parallel analysis and visualization algorithms today work by partitioning data and running mostly serial algorithms concurrently on each data partition. Although this approach lends itself well to the concurrency of current high-performance computing, it does not exhibit the appropriate pervasive parallelism required for exascale computing. The data partitions are too small and the overhead of the threads is too large to make effective use of all the cores in an extreme-scale machine. This paper introduces a new visualization framework designed to exhibit the pervasive parallelism necessary for extreme scale machines. We demonstrate the use of this system on a GPU processor, which we feel is the best analog to an exascale node that we have available today. © 2011 ieee.

关键词： data visualization

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Streamline Integration Using MPI-Hybrid parallelism on a large Multicore Architecture

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ieee TRANSACTIONS ON visualization AND COMPUTER graphics 2011年第11期17卷 1702-1713页

作者： Camp, David Garth, Christoph Childs, Hank Pugmire, Dave Joy, Kenneth I. Univ Calif Davis Lawrence Berkeley Natl Lab Davis CA 95616 USA Univ Calif Davis Dept Comp Sci Davis CA 95616 USA Oak Ridge Natl Lab Oak Ridge TN 37831 USA

Streamline computation in a very large vector field data set represents a significant challenge due to the nonlocal and data-dependent nature of streamline integration. In this paper, we conduct a study of the performance characteristics of hybrid parallel programming and execution as applied to streamline integration on a large, multicore platform. With multicore processors now prevalent in clusters and supercomputers, there is a need to understand the impact of these hybrid systems in order to make the best implementation choice. We use two MPI-based distribution approaches based on established parallelization paradigms, parallelize over seeds and parallelize over blocks, and present a novel MPI-hybrid algorithm for each approach to compute streamlines. Our findings indicate that the work sharing between cores in the proposed MPI-hybrid parallel implementation results in much improved performance and consumes less communication and I/O bandwidth than a traditional, nonhybrid distributed implementation.

关键词： Concurrent programming parallel programming modes of computation parallelism and concurrency picture/image generation display algorithms

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Visualizing multiscale, multiphysics simulation data: Brain blood flow

Visualizing multiscale, multiphysics simulation data: Brain ...

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

作者： Insley, Joseph A. Grinberg, Leopold Papka, Michael E. Argonne National Laboratory United States Brown University United States

ISBN: (纸本)9781467301541

Accurately predicting many physical and biological systems requires modeling interactions of macroscopic and microscopic events. This results in large and heterogeneous data sets on vastly differing scales, both physical and temporal. The ability to use a single integrated tool for the visualization of multiscale simulation data is important to understanding the effects that events at one scale have on events in the other. In the case of blood flow, we examine how the large-scale flow patterns influence blood cell behavior. In this paper we describe the visualization tools that were developed for data from coupled continuum - atomistic simulations. Specifically, we overview a) a custom ParaView reader plug-in that processes macro-scale continuum data computed by a high-order spectral element solver;and b) an adaptive proper orthogonal decomposition-based technique for the visualization of nonstationary velocity fields from atomistic simulations. We also discuss how the ParaView parallel processing and rendering infrastructure was leveraged in the new tools. We apply our methods to visualize multiscale data from coupled continuum-atomistic simulations of blood flow in a patient-specific cerebrovasculature with a brain aneurysm. © 2011 ieee.

关键词： visualization

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STREAMIT: Dynamic visualization and Interactive Exploration of Text Streams

STREAMIT: Dynamic Visualization and Interactive Exploration ...

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4th ieee Pacific visualization symposium

作者： Alsakran, Jamal Chen, Yang Zhao, Ye Yang, Jing Luo, Dongning Kent State Univ Kent OH 98032 USA Univ N Carolina Chapel Hill NC 27515 USA

ISBN: (纸本)9781612849324

Text streams demand an effective, interactive, and on-the-fly method to explore the dynamic and massive data sets, and meanwhile extract valuable information for visual analysis. In this paper, we propose such an interactive visualization system that enables users to explore streaming-in text documents without prior knowledge of the data. The system can constantly incorporate incoming documents from a continuous source into existing visualization context, which is "physically" achieved by minimizing a potential energy defined from similarities between documents. Unlike most existing methods, our system uses dynamic keyword vectors to incorporate newly-introduced keywords from data streams. Furthermore, we propose a special keyword importance that makes it possible for users to adjust the similarity on-the-fly, and hence achieve their preferred visual effects in accordance to varying interests, which also helps to identify hot spots and outliers. We optimize the system performance through a similarity grid and with parallel implementation on graphics hardware (GPU), which achieves instantaneous animated visualization even for a very large data collection. Moreover, our system implements a powerful user interface enabling various user interactions for in-depth data analysis. Experiments and case studies are presented to illustrate our dynamic system for text stream exploration.

关键词： visualization system streams texts dataset visualization Interactive System performance rivers user-computer interaction Consumers Visual analytics Dynamic systems Exploration graphic images User Interface Device Component

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A system for scalable visualization of geographic archival records

A system for scalable visualization of geographic archival r...

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

作者： Heard, Jefferson R. Marciano, Richard J. University of North Carolina Chapel Hill NC United States

ISBN: (纸本)9781467301541

We present a system that visualizes large collections of archival geographic records. This system is comprised of a data grid containing a 60TB test collection gleaned from the US National Archives, and three web-applications: an indexer and two web and mobile-device based visualizations focusing on collection understanding in a geographic context. © 2011 ieee.

关键词： visualization

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visualization and pattern identification in large scale time series data

Visualization and pattern identification in large scale time...

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

作者： Holtz, Steve Valle, Guillermo Howard, Jessica Morreale, Patricia Computer Science Kean University United States NJCSTM Kean University United States

ISBN: (纸本)9781467301541

visualization of massively large datasets presents two significant problems. First, the dataset must be prepared for visualization, and traditional dataset manipulation methods fail due to lack of temporary storage or memory. The second problem is the presentation of the data in the visual media, particularly real-time visualization of streaming time series data. An ongoing research project addresses both these problems, using data from two national repositories. This work is presented here, with the results of the current effort summarized and future plans, including 3D visualization, outlined. © 2011 ieee.

关键词： visualization

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Enabling access to timeseries, geospatial data for on-demand visualization

Enabling access to timeseries, geospatial data for on-demand...

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

作者： Pallickara, Sangmi Lee Malensek, Matthew Pallickara, Shrideep Department of Computer Science Colorado State University United States

ISBN: (纸本)9781467301541

data volumes in the geosciences have been increasing substantially over the past decade. This data naturally includes both spatial and chronological information. Fast access to specific portions of large collections of such datasets is a precursor to efficiently visualizing them. Here, we provide an overview of how a geospatial storage system, GALILEO, provides storage of such timeseries data while providing access to specific portions of the dataset. © 2011 ieee.

关键词： Digital storage

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ieee Pacific visualization symposium 2011, PacificVis 2011 - Proceedings

IEEE Pacific Visualization Symposium 2011, PacificVis 2011 -...

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4th ieee Pacific visualization symposium 2011, PacificVis 2011

ISBN: (纸本)9781612849324

The proceedings contain 26 papers. The topics discussed include: full-resolution interactive CPU volume rendering with coherent BVH traversal;context-aware volume navigation;multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates;static correlation visualization for large time-varying volume data;the neuron navigator: exploring the information pathway through the neural maze;CareCruiser: exploring and visualizing plans, events, and effects interactively;loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics;interactive seismic interpretation with piecewise global energy minimization;uncertain topology of 3D vector fields;edge maps: representing flow with bounded error;view point evaluation and streamline filtering for flow visualization;and dual space analysis of turbulent combustion particle data.

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CERA-TVR: A framework for interactive high-quality teravoxel volume visualization on standard PCs

CERA-TVR: A framework for interactive high-quality teravoxel...

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

作者： Engel, Klaus Siemens AG Germany

ISBN: (纸本)9781467301541

We present a volume visualization framework that allows high-quality interactive rendering of teravoxel scale volume data sets on standard PCs. It is based on a progressive multi-resolution out-of-core volume rendering approach. data loading is controlled by rays that are cast through the volume data set. The tree structure representing the multi-resolution hierarchy is traversed and updated directly by the GPU during ray casting. Consequently, occluded and empty data is never loaded or rendered. The framework is able to render dense, anisotropic, scalar volume data on regular grids with all common rendering modes. © 2011 ieee.

关键词： Volume rendering

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Incremental, approximate database queries and uncertainty for exploratory visualization

Incremental, approximate database queries and uncertainty fo...

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

作者： Fisher, Danyel Microsoft Research 1 Microsoft Way Redmond WA 98052 United States

ISBN: (纸本)9781467301541

Exploratory data visualization calls for iterative analyses, but very large databases are often far too slow to allow interactive exploration. Incremental, approximate database queries exchange precision for speed: by sampling from the full database, the system can resolve queries rapidly. As the sample gets broader, the precision increases at the cost of time. As the precision of the sample value can be estimated, we can represent the range of possible values. This range may be visually represented using uncertainty visualization techniques. This paper outlines the current literature in both incremental approximate queries and in uncertainty visualization. The two fields mesh well: incremental techniques can collect data in interactive time, and uncertainty techniques can show bounded error. © 2011 ieee.

关键词： visualization

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