Ming Jiang

2022 1 publication

• “Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion,” Salishan Conference on High-Speed Computing (virtual), April 2022.

2021 1 publication

• “Multidisciplinary Research in the Center for Applied Scientific Computing,” Applied Math Colloquium, University of Arizona (virtual), October 2021.

2020 2 publications

• M. Jiang, B. Gallagher, A. Chu, G. Abdulla, and T. Bender, “Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion,” International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia), pp. 150–160, 2020.
• “Exploiting Spark for HPC Simulation Data: Taming the Ephemeral Data Explosion,” International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia), Fukuoka, Japan, January 2020.

2019 3 publications

• M. Jiang, B. Gallagher, N. Mandell, A. Maguire, K. Henderson, and G. Weinert, “A Deep Learning Framework for Mesh Relaxation in Arbitrary Lagrangian-Eulerian Simulations,” SPIE Applications of Machine Learning, vol. 11139, pp. 168–182, 2019.
• E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou, “The Role of Machine Learning in Scientific Workflows,” International Journal of High Performance Computing Applications, 33(6):1128–1139, 2019.
• “A Deep Learning Framework for Mesh Relaxation in Arbitrary Lagrangian-Eulerian Simulations,” SPIE Applications of Machine Learning, San Diego, CA, August 2019.

2017 3 publications

• R. da Silva, R. Filgueira, I. Pietri, M. Jiang, R. Sakellariou, and E. Deelman, “A Characterization of Workflow Management Systems for Extreme-Scale Applications,” Future Generation Computer Systems, 75:228–238, 2017.
• “Machine Learning for Semi-Automating Mesh Management in ALE Simulations,” LLNL Predictive Science Panel, Livermore, CA, November 2017.
• “Machine Learning for Semi-Automating Mesh Management in ALE Simulations,” International Conference on Numerical Methods for Multi-Material Fluid Flow (MultiMat), Santa Fe, NM, September 2017. (poster)

2016 2 publications

• M. Jiang, B. Gallagher, J. Kallman, and D. Laney, “A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations,” IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 977–982, 2016.
• “A Supervised Learning Framework for Arbitrary Lagrangian-Eulerian Simulations,” IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, December 2016.

2014 2 publications

• M. Jiang, B. Van Essen, C. Harrison, and M. Gokhale, “Multi-Threaded Streamline Tracing for Data-Intensive Architectures,” IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2014.
• “Multi-Threaded Streamline Tracing for Data-Intensive Architectures,” IEEE Symposium on Large Data Analysis and Visualization (LDAV), Paris, France, November 2014.

2012 2 publications

• C. Harrison, P. Navratil, M. Mossalem, M. Jiang, and H. Childs, “Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python,” Workshop on Python for High Performance and Scientific Computing (PyHPC), pp. 11–20, 2012.
• “LLNL: Visualization, Rendering and GPUs,” DreamWorks Animation, Glendale, CA, March 2012.

2011 4 publications

• M. Jiang, W. de Vries, A. Pertica, and S. Olivier, “Computing and Visualizing Reachable Volumes for Maneuvering Satellites,” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 2011.
• B. Summa, G. Scorzelli, M. Jiang, P.-T. Bremer, and V. Pascucci, “Interactive Editing of Massive Imagery Made Simple: Turning Atlanta into Atlantis,” ACM Transactions on Graphics, 30(2), Article 7, 2011.
• “Computing and Visualizing Reachable Volumes for Maneuvering Satellites,” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI, September 2011. (poster)
• “NAPA: Rapid Exploration and Progressive Processing of Large Format Imagery,” Monsanto Science Fellows' Symposium, St. Louis, MO, February 2011.

2010 4 publications

• M. Jiang, M. Andereck, A. Pertica, and S. Olivier, “A Scalable Visualization System for Improving Space Situational Awareness,” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), pp. 603–612, 2010.
• R. Roberts, T. Trucano, P. Pope, C. Aragon, M. Jiang, T. Wei, L. Chilton, and A. Bakel, “On the Verification and Validation of Geospatial Image Analysis Algorithms,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 174–177, 2010.
• “A Scalable Visualization System for Improving Space Situational Awareness,” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI, September 2010. (poster)
• “Iridium 33 – Cosmos 2251 Collision Simulation and Visualization,” Oceanit, Honolulu, HI, April 2010.

2009 2 publications

• S. Olivier, K. Cook, B. Fasenfest, D. Jefferson,M. Jiang, J. Leek, J. Levatin, S. Nikolaev, A. Pertica, D. Phillion, K. Springer, and W. de Vries, “High-Performance Computer Modeling of the Cosmos-Iridium Collision,” Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), pp. 720–731, 2009.
• “NAPA: Rapid Exploration and Progressive Processing of Large Format Imagery,” Motion Imagery Standards Board Conference, Herndon, VA, May 2009.

2008 3 publications

• M. Jankun-Kelly, D. Thompson, M. Jiang, B. Shannahan, and R. Machiraju, “Vortex Characterization for Engineering Applications,” AIAA Aerospace Sciences Meeting and Exhibit, Paper 2008–0929, 2008.
• “Novel Architectures and Progressive Algorithms for Real-Time Analysis of Streaming Data,” Center for Advanced Signal and Image Science Workshop (CASIS), Livermore, CA, November 2008.
• “Novel Architectures for Progressive Image Analysis,” Stanford Linear Accelerator Center, Menlo Park, CA, February 2008.

2007 1 publication

• “Progressive Processing and Visualization of High-Resolution Satellite Imagery for Geospatial Intelligence,” LLNL Computing Applications and Research Showcase, Livermore, CA, April 2007.

2006 3 publications

• M. Jankun-Kelly, M. Jiang, D. Thompson, and R. Machiraju, “Vortex Visualization for Practical Engineering Applications,” IEEE Transactions on Visualization and Computer Graphics, 12(5):957–964, 2006.
• “Novel Architectures for Progressive Image Analysis,” NGA Academic Research Program Symposium, Washington, D.C., September 2006.
• “Progressive Techniques for Efficient Processing of Massive Image Models,” Bay Area Scientific Computing Day, Livermore, CA, March 2006.

2005 3 publications

• G. Craciun, M. Jiang, D. Thompson, and R. Machiraju, “Spatial Domain Wavelet Design for Feature Preservation in Computational Datasets,” IEEE Transactions on Visualization and Computer Graphics, 11(2):149–159, 2005.
• “Cache-Oblivious Data Layouts for Real-Time Access to Massive Models,” LLNL Computing Applications and Research Showcase, Livermore, CA, November 2005. (poster)
• “A Feature-Based Approach to Visualizing and Mining Simulation Data,” LLNL Center for Applied Scientific Computing Seminar, Livermore, CA, July 2005.

2004 2 publications

• R. Machiraju, S. Parthasarathy, J. Wilkins, D. Thompson, B. Gatlin, D. Richie, T.-S. Choy, M. Jiang, S. Mehta, M. Coatney, S. Barr, and K. Hazzard, “Mining Temporally-Varying Phenomena in Scientific Datasets,” Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, eds, AAAI Press/The MIT Press, pp. 273–290, 2004.
• M. Jiang, R. Machiraju, and D. Thompson, “Detection and Visualization of Vortices,” The Visualization Handbook, C. Johnson and C. Hansen, eds, Academic Press, pp. 287–301, 2004.

2003 2 publications

• M. Jiang, T.-S. Choy, S. Mehta, M. Coatney, S. Barr, K. Hazzard, D. Richie, S. Parthasarathy, R. Machiraju, D. Thompson, J. Wilkins, and B. Gatlin, “Feature Mining Paradigms for Scientific Data,” SIAM International Conference on Data Mining (SDM), pp. 13–24, 2003.
• “Feature Mining Paradigms for Scientific Data,” SIAM International Conference on Data Mining (SDM), San Francisco, CA, May 2003.

2002 5 publications

• M. Jiang, R. Machiraju, and D. Thompson, “Geometric Verification of Swirling Features in Flow Fields,” IEEE Visualization Conference, pp. 307–314, 2002.
• D. Thompson, R. Machiraju,M. Jiang, J. Nair, G. Craciun, and S. Venkata, “Physics-Based Feature Mining for Large Data Exploration,” IEEE Computing in Science & Engineering, 4(4):22–30, 2002.
• M. Jiang, R. Machiraju, and D. Thompson, “A Novel Approach to Vortex Core Region Detection,” Joint Eurographics – IEEE TCVG Symposium on Visualization (VisSym), pp. 217–225, 2002.
• “Geometric Verification of Swirling Features in Flow Fields,” IEEE Visualization Conference, Boston, MA, October 2002.
• “A Novel Approach to Vortex Core Region Detection,” Joint Eurographics – IEEE TCVG Symposium on Visualization (VisSym), Barcelona, Spain, May 2002.

2001 1 publication

• G. Craciun, D. Thompson, R. Machiraju, and M. Jiang, “A Framework for Filter Design Emphasizing Multiscale Feature Preservation,” Third Workshop on Mining Scientific Datasets, pp. 105–111, 2001.

2000 1 publication

• “Feature-Significant Exploration of Terascale Datasets,” Yosemite Educational Symposium on Multiscale and Multiresolution Methods, Yosemite National Park, CA, November 2000. (poster)