Stay posted, we're just getting started!

  • Charlene Yang, Brian Friesen, Thorsten Kurth, Brandon Cook, Samuel Williams, "Toward Automated Application Profiling on Cray Systems", Cray User Group (CUG), May 2018.
  • 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.
  • 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.
  • 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.
  • 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.