Publications

Jump to: Papers : 2018 : 2017 | Posters : 2018

Papers

2018

  • M. Dorier, P. Carns, K. Harms, R. Latham, R. Ross, S. Snyder, J. Wozniak, S.K. Gutierrez, B. Robey, B. Settlemyer, G. Shipman, J. Soumagne, J. Kowalkowski, M. Paterno, and S. Sehrish. Methodology for the Rapid Development of Scalable HPC Data Services. In Proceedings of the 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, November 2018.
  • Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang : DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks, IEEE Transactions on Visualization and Computer Graphics, (Accepted at IEEE VAST 2018) [Best Paper Honorable Mention Award]
  • Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen: Visualization and Visual Analysis of Ensemble Data: A Survey, IEEE Transactions on Visualization and Computer Graphics, 2018 (Early Access)
  • Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Peng Chen: CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data, IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2018)
  • Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, and Han-Wei Shen: Parallel Partial Reduction for Large-Scale Data Analysis and Visualization, In Proceedings of 2018 IEEE Symposium on Large Data Analysis and Visualization, 2018. [Honorable Mention]
  • Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil Mihai Constantinescu, Chunhui Liu, and Tom Peterka, "Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis." IEEE Transactions on Visualization and Computer Graphics. (Accepted)
  • Wenbin He, Hanqi Guo, Han-Wei Shen, and Tom Peterka, "eFESTA: Ensemble Feature Exploration with Surface Density Estimates." IEEE Transactions on Visualization and Computer Graphics. (Accepted)
  • Subhashis Hazarika, Ayan Biswas, Han-Wei Shen: Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models, IEEE Transactions on Visualization and Computer Graphics , 24(1): 934-943 (2018)
  • Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gökhan Sever, and Seung Hyun Kim, "Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps." IEEE Transactions on Visualization and Computer Graphics (VIS' 18), 2018. (Accepted)
  • P. Balaprakash, J. Dongarra, T. Gamblin, M. Hall, J. Hollingsworth, B. Norris, R. Vuduc, "Autotuning in High-Performance Computing Applications," in Proceedings of the IEEE, vol. 106, no. 11, pp. 2068-2083, Nov. 2018.
  • Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, and Tom Peterka, "Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing." IEEE Transactions on Visualization and Computer Graphics (VIS '17), 24(1):954-963, 2018.
  • Jiang Zhang, Hanqi Guo, Xiaoru Yuan, and Tom Peterka, "Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing." In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '18), pages 86-95, Kobe, Japan, April 10-13, 2018.
  • Hongzhang Shan, Samuel Williams, Calvin W. Johnson, "Improving MPI Reduction Performance for Manycore Architectures with OpenMP and Data Compression", Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), November 2018.
  • Pradeep Subedi, Philip Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, and Manish Parashar. "Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows." In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), p. 73. IEEE Press, November 2018.
  • Sunwoo Lee, Ankit Agrawal, Prasanna Balaprakash, Alok Choudhary, and Wei-keng Liao, "Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training", the Workshop of Machine Learning in HPC Environments, held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, November 2018.
  • Charlene Yang, Rahulkumar Gayatri, Thorsten Kurth, Protonu Basu, Zahra Ronaghi, Adedoyin Adetokunbo, Brian Friesen, Brandon Cook, Douglas Doerfler, Leonid Oliker, Jack Deslippe, Samuel Williams, "An Empirical Roofline Methodology for Quantitatively Assessing Performance Portability", International Workshop on Performance, Portability and Productivity in HPC (P3HPC), November 2018.
  • P.C. Roth, K. Huck, G. Gopalakrishnan, and F. Wolf, "Using Deep Learning for Automated Communication Pattern Characterization: Little Steps and Big Challenges," Fifth International Workshop on Visual Performance Analysis (VPA18), Dallas, Texas, November 2018.
  • Khaled Ibrahim, Samuel Williams, Leonid Oliker, "Roofline Scaling Trajectories: A Method for Parallel Application and Architectural Performance Analysis", HPCS Special Session on High Performance Computing Benchmarking and Optimization (HPBench), July 2018.
  • James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, and David Pugmire, "Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation", ISC Workshop on In Situ Visualization (WOIV), Frankfurt, Germany, June 2018.
  • Mark Kim, James Kress, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Thomas Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill and David Pugmire, "In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned", ISC Workshop on In Situ Visualization (WOIV), Frankfurt, Germany, June 2018.
  • David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, and Bernd Hentschel, "Performance Portable Particle Advection with VTK-m," Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Brno, Czech Republic, June 2018.
  • Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, and Seyong Lee. Highly Efficient Compensation-based Parallelism for Wavefront Loops on GPUs. 32th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, Canada, 2018.
  • Charlene Yang, Brian Friesen, Thorsten Kurth, Brandon Cook, Samuel Williams, "Toward Automated Application Profiling on Cray Systems", Cray User Group (CUG), May 2018.
  • Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydın Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine Yelick: Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), April 9 - 11, 2018, ArXiv eprints.
  • Tuomas Koskela, Jack Deslippe, Zakhar Matveev, Adetokunbo Adedoyin, Charlene Yang, Rahulkumar Gayatri, Hongzhang Shan, Zhengji Zhao, Philippe Thierry, Roman Belonov, Samuel Williams, Leonid Oliker, A Novel Multi-Level integrated Roofline Model Approach for Performance Characterization, High Performance Computing: 33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24–28, 2018.
  • Khaled Z Ibrahim, Samuel Williams, Leonid Oliker, Roofline Scaling Trajectories: A Method for Parallel Application and Architectural Performance Analysis, High Performance Computing Benchmarking and Optimization (HPBench 2018). As part of The 16th International Conference on High Performance Computing & Simulation (HPCS 2018), Orléans, France, July 16 – 20, 2018.
  • P.C. Roth, "Scalable, Automated Characterization of Parallel Application Communication Behavior," (presentation), 2018 Scalable Tools Workshop, Solitude, Utah, July 2018.
  • Subhashis Hazarika, Ayan Biswas, Han-Wei Shen: Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models, IEEE Transactions on Visualization and Computer Graphics , 24(1): 934-943 (2018)
  • Ko-Chih Wang, Naeem Shareef, and Han-Wei Shen: Image and Distribution Based Volume Rendering for Large Data Sets, IEEE PacificVis 2018
  • Junpeng Wang, Liang Gou , Hao Yang, and Han-Wei Shen: GANViz: A Visual Analytics Approach to Understand the Adversarial Game, IEEE Trans. Vis. Comput. Graph. [IEEE PacificVis 2018 Best Paper Award]
  • Tzu-Hsuan Wei, Soumya Dutta, and Han-Wei Shen: Information Guided Data Sampling and Recovery using Bitmap Indexing, IEEE PacificVis 2018
  • Soumya Dutta, Han-Wei Shen, and Jen-Ping Chen: In Situ Prediction Driven Feature Analysis in Jet Engine Simulations, IEEE PacificVis 2018
  • Cheng Li, Joachim Moortgat, and Han-Wei Shen: An Automatic Data Deformation Approach for Occlusion Free Egocentric Data Exploration, IEEE PacificVis 2018
  • S. Madireddy, P. Balaprakash, P. Carns, R. Latham, R. Ross, S. Snyder, and S. M. Wild, Modeling I/O Performance Variability Using Conditional Variational Auto Encoders, preprint ANL/MCS-P9070-0518, 2018.
  • S. Madireddy, P. Balaprakash, P. Carns, R. Latham, R. Ross, S. Snyder, and S. M. Wild, Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems, In: Yokota R., Weiland M., Keyes D., Trinitis C. (eds) High Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science, vol 10876. Springer, Cham, doi:10.1007/978-3-319-92040-5_10.
  • X Xing, B Dong, J Ajo-Franklin, and Kesheng Wu. Automated Parallel Data Processing Engine with Application to Large-Scale Feature Extraction. In: Machine Learning in HPC Environment. Nov. 2018. https://sc18.supercomputing.org/proceedings/workshops/workshop_pages/ws_mlhpce109.html
  • J Gu, S Klasky, N Podhorszki, J Qiang, K Wu. Querying Large Scientific Data Sets with Adaptable IO System ADIOS. Asian Conference on Supercomputing Frontiers, 2018. pp. 51-69.
  • P.C. Roth, "Improved Accuracy for Automated Communication Pattern Characterization Using Communication Graphs and Aggressive Search Space Pruning," Proceedings of the 6th Workshop on Extreme-Scale Programming Tools (ESPT'17), Denver, Colorado, USA, Nov. 2017. To be published in Lecture Notes in Computer Science 11027, 2018.

2017

  • Cheng Li, Han-Wei Shen: Winding Angle Assisted Particle Tracing in Distribution-Based Vector Field, SIGGRAPH Asia Symposium on Visualization 2017. [Best Paper Honorable Mention award]
  • Soumya Dutta, Xiaotong Liu, Ayan Biswas, Han-Wei Shen, and Jen-Ping Chen: Pointwise Information Guided Visual Analysis of Time-varying Multi-fields, SIGGRAPH Asia Symposium on Visualization 2017
  • Junpeng Wang, Xiaotong Liu, Han-Wei Shen: High-dimensional data analysis with subspace comparison using matrix visualization, Information Visualization 2017
  • Junpeng Wang, Xiaotong Liu, Han-Wei Shen, Guang Lin: Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots. IEEE Trans. Vis. Comput. Graph. 23(1): 81-90 (2017)
  • S. Madireddy, P. Balaprakash, P. Carns, R. Latham, R. Ross, S. Snyder, and S. M. Wild. Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity, The 12th International Conference on Networking, Architecture, and Storage, Shenzhen, 2017, pp. 1-10. doi:10.1109/NAS.2017.8026844.
  • Sang-Yun Oh, Alnur Ali, Penporn Koanantakool, Ariful Azad, Aydın Buluç, Dmitriy Morozov, Leonid Oliker, Katherine Yelick: Whole-brain Functional Connectivity Mapping and Region Segmentation from Distributed Estimation of Voxel-level Sparse Precision Matrix. BigNeuro Workshop @ Advances in Neural Information Processing Systems (NIPS), Long Beach, CA, Dec 9, 2017.

Posters

2018