Search Results - "IEEE Symposium on Large Data Analysis and Visualization (LDAV)"

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  1. 1

    On the use of graph search techniques for the analysis of extreme-scale combustion simulation data by McLendon, W. C., Bansal, G., Bremer, P.-T, Chen, J., Kolla, H., Bennett, J. C.

    “…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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    Conference Proceeding
  2. 2

    Interactive exploration of large-scale time-varying data using dynamic tracking graphs by Widanagamaachchi, W., Christensen, C., Bremer, P.-T, Pascucci, Valerio

    “…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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    Conference Proceeding
  3. 3

    Gaussian mixture model based volume visualization by Shusen Liu, Levine, J. A., Bremer, P., Pascucci, V.

    “…Representing uncertainty when creating visualizations is becoming more indispensable to understand and analyze scientific data. Uncertainty may come from…”
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    Conference Proceeding
  4. 4

    Keynote address: A trillion photos by Seitz, S.

    “…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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    Conference Proceeding
  5. 5

    Keynote address: Divide and Recombine: An approach for analyzing large datasets by Hanrahan, Pat

    “…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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    Conference Proceeding
  6. 6

    Flow-guided file layout for out-of-core pathline computation by Chun-Ming Chen, Nouanesengsy, B., Teng-Yok Lee, Han-Wei Shen

    “…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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    Conference Proceeding
  7. 7

    Parallel stream surface computation for large data sets by Camp, D., Childs, H., Garth, C., Pugmire, D., Joy, K. I.

    “…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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    Conference Proceeding
  8. 8

    Visual analysis of massive web session data by Zeqian Shen, Jishang Wei, Sundaresan, N., Kwan-Liu Ma

    “…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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    Conference Proceeding
  9. 9

    Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data by Weber, G. H., Childs, H., Meredith, J. S.

    “…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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  10. 10

    Scalable computation of distributions from large scale data sets by Chaudhuri, A., Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Peterka, T., Yi-Jen Chiang

    “…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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    Conference Proceeding
  11. 11

    Group dynamics in scientific visualization by Ozer, S., Jishang Wei, Silver, D., Kwan-Liu Ma, Martin, P.

    “…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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    Conference Proceeding
  12. 12

    Salient time steps selection from large scale time-varying data sets with dynamic time warping by Xin Tong, Teng-Yok Lee, Han-Wei Shen

    “…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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    Conference Proceeding
  13. 13

    Preface

    “…Presents the welcome message from the conference proceedings…”
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    Conference Proceeding
  14. 14

    Redirecting research in large-format displays for visualization by Moreland, K.

    “…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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    Conference Proceeding
  15. 15

    Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data by Dasgupta, A., Kosara, R., Gosink, L.

    “…Managing computational complexity and designing effective visual representations are two important challenges for the visualization of large, complex,…”
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    Conference Proceeding
  16. 16

    Using NoSQL databases for streaming network analysis by Wylie, B., Dunlavy, D., Davis, Warren, Baumes, J.

    “…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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    Conference Proceeding
  17. 17

    In situ fragment detection at scale by Fabian, N.

    “…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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    Conference Proceeding
  18. 18

    Query-driven parallel exploration of large datasets by Atanasov, A., Srinivasan, M., Weinzierl, T.

    “…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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    Conference Proceeding
  19. 19

    Interactive transfer function design on large multiresolution volumes by Martin, S., Han-Wei Shen

    “…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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    Conference Proceeding
  20. 20

    Panning and zooming the observable universe with prefix-matching indices and pixel-based overlays by Luciani, T., Sun, B., Cherinka, B., Wood-Vasey, W. M., Marai, G. E., Myers, S., Labrinidis, A.

    “…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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    Conference Proceeding