Search Results - "Insley, Joseph A"

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  1. 1

    Distributed Neural Representation for Reactive In Situ Visualization by Wu, Qi, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Papka, Michael E., Ma, Kwan-Liu

    “…Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ…”
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    Journal Article
  2. 2

    Scalable Reactive Molecular Dynamics Simulations for Computational Synthesis by Li, Ying, Nomura, Ken-Ichi, Insley, Joseph A., Morozov, Vitali, Kumaran, Kalyan, Romero, Nichols A., Goddard, William A., Kalia, Rajiv K., Nakano, Aiichiro, Vashishta, Priya

    Published in Computing in science & engineering (01-09-2019)
    “…Reactive molecular dynamics (MD) simulation is a powerful research tool for describing chemical reactions. We eliminate the speed-limiting charge iteration in…”
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    Journal Article
  3. 3

    Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysms by Perdikaris, Paris, Insley, Joseph A., Grinberg, Leopold, Yu, Yue, Papka, Michael E., Karniadakis, George Em

    Published in Parallel computing (01-07-2016)
    “…•Developed parallel algorithms for visualizing fluid-structure interaction phenomena.•Enabled high-order accurate computations through a parallel spectral/hp…”
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    Journal Article
  4. 4

    Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine by Nealey, Isaac, Ferrier, Nicola, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Schulze, Jurgen

    “…We present a end-to-end in-transit workflow that uses SENSEI [1], Paraview Catalyst [2], and Unreal Engine [3] for interactive rendering of large scale…”
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    Conference Proceeding
  5. 5

    Distributed Volumetric Neural Representation for in situ Visualization and Analysis by Wu, Qi, Insley, Joseph A., Mateevitsi, Victor A., Rizzi, Silvio, Ma, Kwan-Liu

    “…Volumetric grids have recently been used by many recent works for representing complex scenes implicitly. A volumetric neural representation can be several…”
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    Conference Proceeding
  6. 6

    Massive Data Visualization Techniques for use in Virtual Reality Devices by Ortiz, Jason A., Insley, Joseph A., Knowles, Janet, Mateevitsi, Victor A., Papka, Michael E., Rizzi, Silvio

    “…Scientific simulations executed on supercomputers produce massive amounts of data. Visualizing this data is essential to discovery and dissemination, but…”
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    Conference Proceeding
  7. 7

    Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls by Tishchenko, Nazariy, Ferrier, Nicola, Insley, Joseph A., Mateevitsi, Victor A., Papka, Michael E., Rizzi, Silvio, Tan, Jifu

    “…We present some preliminary work toward bi-directional in situ visualization and analysis of blood flow considering blood cell suspensions and dynamic moving…”
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    Conference Proceeding
  8. 8

    Runtime Visualization of the Human Arterial Tree by Insley, J.A., Papka, M.E., Suchuan Dong, Karniadakis, G., Karonis, N.T.

    “…Large-scale simulation codes typically execute for extended periods of time and often on distributed computational resources. Because these simulations can run…”
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    Journal Article
  9. 9

    PxStream: Remote Visualization for Distributed Rendering Frameworks by Marrinan, Thomas, Rizzi, Silvio, Insley, Joseph A., Long, Lance, Renambot, Luc, Papka, Michael E.

    “…When dealing with extremely large data sets or computationally expensive rendering pipelines, local workstations may not be able to render the full data set or…”
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    Conference Proceeding
  10. 10

    Parallel streaming between heterogeneous HPC resources for real-time analysis by Marrinan, Thomas, Eisenhauer, Greg, Wolf, Matthew, Insley, Joseph A., Rizzi, Silvio, Papka, Michael E.

    Published in Journal of computational science (01-02-2019)
    “…•Development of a library for redistributing data inside a distributed memory application.•In transit streaming between HPC applications with different data…”
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    Journal Article
  11. 11

    Tightly Coupled Atomistic-Continuum Simulations of Brain Blood Flow on Petaflop Supercomputers by Grinberg, Leopold, Insley, Joseph A., Fedosov, Dmitry A., Morozov, Vitali, Papka, Michael E., Karniadakis, George Em

    Published in Computing in science & engineering (01-11-2012)
    “…Several advances on the mathematical, computational, and visualization fronts have led to the first truly multiscale simulation and visualization of a…”
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    Journal Article
  12. 12

    Distributed Neural Representation for Reactive in situ Visualization by Wu, Qi, Insley, Joseph A, Mateevitsi, Victor A, Rizzi, Silvio, Papka, Michael E, Ma, Kwan-Liu

    Published 27-03-2023
    “…Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ…”
    Get full text
    Journal Article
  13. 13

    Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI by Mateevitsi, Victor A, Bode, Mathis, Ferrier, Nicola, Fischer, Paul, Göbbert, Jens Henrik, Insley, Joseph A, Lan, Yu-Hsiang, Min, Misun, Papka, Michael E, Patel, Saumil, Rizzi, Silvio, Windgassen, Jonathan

    Published 18-12-2023
    “…In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of leadership-scale…”
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    Journal Article
  14. 14

    Enabling community access to TeraGrid visualization resources by Binns, Justin, DiCarlo, Jonathan, Insley, Joseph A., Leggett, Ti, Lueninghoener, Cory, Navarro, John-Paul, Papka, Michael E.

    Published in Concurrency and computation (25-04-2007)
    “…Visualization is an important part of the data analysis process. Many researchers, however, do not have access to the resources required to do visualization…”
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    Journal Article
  15. 15

    Transferring Data from High-Performance Simulations to Extreme Scale Analysis Applications in Real-Time by Marrinan, Thomas, Rizzi, Silvio, Insley, Joseph, Toonen, Brian, Allcock, William, Papka, Michael E.

    “…Extreme scale analytics often requires distributed memory algorithms in order to process the volume of data output by high performance simulations…”
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    Conference Proceeding
  16. 16

    Automated Dynamic Data Redistribution by Marrinan, Thomas, Insley, Joseph A., Rizzi, Silvio, Tessier, Francois, Papka, Michael E.

    “…High-performance distributed memory applications often load or receive data in a format that differs from what the application uses. One such difference arises…”
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    Conference Proceeding
  17. 17

    High-resolution remote rendering of large datasets in a collaborative environment by Karonis, Nicholas T., Papka, Michael E., Binns, Justin, Bresnahan, John, Insley, Joseph A., Jones, David, Link, Joseph M.

    Published in Future generation computer systems (01-08-2003)
    “…In a time when computational and data resources are distributed around the globe, users need to interact with these resources and each other easily and…”
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    Journal Article
  18. 18

    A new computational paradigm in multiscale simulations: application to brain blood flow by Grinberg, Leopold, Insley, Joseph A., Morozov, Vitali, Papka, Michael E., Karniadakis, George Em, Fedosov, Dmitry, Kumaran, Kalyan

    “…Interfacing atomistic-based with continuum-based simulation codes is now required in many multiscale physical and biological systems. We present the…”
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    Conference Proceeding
  19. 19

    Visualizing multiscale, multiphysics simulation data: Brain blood flow by Insley, J. A., Grinberg, L., Papka, M. E.

    “…Accurately predicting many physical and biological systems requires modeling interactions of macroscopic and microscopic events. This results in large and…”
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    Conference Proceeding
  20. 20

    Effect of Installation Geometry on Turbulent Mixing Noise from Jet Engine Exhaust by Insley, J. A., Paliath, U., Premasuthan, S.

    “…Understanding the complex turbulent mixing noise sources for jet exhaust nozzles is critical to delivering the next generation of "green" low-noise jet…”
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    Conference Proceeding