Search Results - "IEEE Symposium on Large Data Analysis and Visualization (LDAV)"
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On the use of graph search techniques for the analysis of extreme-scale combustion simulation data
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…With the continuous increase in high performance computing capabilities, simulations are becoming ever larger and more complex, using bigger domains, tracking…”
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Interactive exploration of large-scale time-varying data using dynamic tracking graphs
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Exploring and analyzing the temporal evolution of features in large-scale time-varying datasets is a common problem in many areas of science and engineering…”
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3
Gaussian mixture model based volume visualization
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Representing uncertainty when creating visualizations is becoming more indispensable to understand and analyze scientific data. Uncertainty may come from…”
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4
Keynote address: A trillion photos
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Summary form only given. Collectively, we take upwards of a trillion photos each year. These images together comprise a nearly complete visual record of the…”
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Keynote address: Divide and Recombine: An approach for analyzing large datasets
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Summary form only given. Analyzing large datasets is often difficult because systems and algorithms do not scale. Even routine processing tasks are difficult…”
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6
Flow-guided file layout for out-of-core pathline computation
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…As CPU processing power becomes more powerful and storage capacity increases, performing data-intensive visualization computations involving large data on a…”
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7
Parallel stream surface computation for large data sets
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Parallel stream surface calculation, while highly related to other particle advection-based techniques such as streamlines, has its own unique characteristics…”
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Visual analysis of massive web session data
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Tracking and recording users' browsing behaviors on the web down to individual mouse clicks can create massive web session logs. While such web session data…”
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Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…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…”
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Scalable computation of distributions from large scale data sets
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…As we approach the era of exascale computing, the role of distributions to summarize, analyze and visualize large scale data is becoming more and more…”
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Group dynamics in scientific visualization
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…The ability to visually extract and track features is appealing to scientists in many simulations including flow fields. However, as the resolution of the…”
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12
Salient time steps selection from large scale time-varying data sets with dynamic time warping
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Empowered by rapid advance of high performance computer architectures and software, it is now possible for scientists to perform high resolution simulations…”
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13
Preface
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Presents the welcome message from the conference proceedings…”
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14
Redirecting research in large-format displays for visualization
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Large-format displays, in particular tiled displays, remain actively used and researched today after almost two decades since their conception. Many…”
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15
Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Managing computational complexity and designing effective visual representations are two important challenges for the visualization of large, complex,…”
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16
Using NoSQL databases for streaming network analysis
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…The high-volume, low-latency world of network traffic presents significant obstacles for complex analysis techniques. The unique challenge of adapting powerful…”
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17
In situ fragment detection at scale
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…We explore the problem of characterizing fragments using Par-aView in situ with an explosion simulation. By running in situ we can see a much higher temporal…”
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Query-driven parallel exploration of large datasets
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Recent advances in supercomputing capabilities pose a multi-faceted data retrieval challenge to the exploration and visualisation of the obtained results: the…”
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Interactive transfer function design on large multiresolution volumes
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…Interactive transfer function design techniques seek to leverage user knowledge to facilitate the discovery of data salience. In this process, interactive…”
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Panning and zooming the observable universe with prefix-matching indices and pixel-based overlays
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV) (01-10-2012)“…We introduce a web-based, client-server computing infrastructure to assist the interactive navigation of large-scale astronomy observations. Large image…”
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