| In-situ feature extraction of large scale combustion simulations using segmented merge trees AG Landge, V Pascucci, A Gyulassy, JC Bennett, H Kolla, J Chen, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 91 | 2014 |
| Mapping applications with collectives over sub-communicators on torus networks A Bhatele, T Gamblin, SH Langer, PT Bremer, EW Draeger, B Hamann, ... Proceedings of the International Conference on High Performance Computing …, 2012 | 89 | 2012 |
| Visualizing network traffic to understand the performance of massively parallel simulations AG Landge, JA Levine, A Bhatele, KE Isaacs, T Gamblin, M Schulz, ... IEEE Transactions on Visualization and Computer Graphics 18 (12), 2467-2476, 2012 | 80 | 2012 |
| Exploring power behaviors and trade-offs of in-situ data analytics M Gamell, I Rodero, M Parashar, JC Bennett, H Kolla, J Chen, PT Bremer, ... Proceedings of the International Conference on High Performance Computing …, 2013 | 68 | 2013 |
| Exploring performance data with boxfish KE Isaacs, AG Landge, T Gamblin, PT Bremer, V Pascucci, B Hamann 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 29 | 2012 |
| Evaluation of in-situ analysis strategies at scale for power efficiency and scalability I Rodero, M Parashar, AG Landge, S Kumar, V Pascucci, PT Bremer 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016 | 21 | 2016 |
| {RecService}: Distributed {Real-Time} Graph Processing at Twitter A Grewal, J Jiang, G Lam, T Jung, L Vuddemarri, Q Li, A Landge, J Lin 10th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 18), 2018 | 12 | 2018 |
| Notes on the Distributed Computation of Merge Trees on CW-Complexes AG Landge, PT Bremer, A Gyulassy, V Pascucci Topological Methods in Data Analysis and Visualization IV: Theory …, 2017 | 4 | 2017 |
| Interactive visualizations for performance analysis of heterogeneous computing clusters A Landge, J Levine, P Bremer, M Schulz, T Gamblin, A Bhatele, K Isaacs, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2012 | 1 | 2012 |
| Large-scale in-situ topological analysis using segmented merge trees: Performance, scalability, and power efficiency AG Landge The University of Utah, 2016 | | 2016 |
| Large Scale In-‐Situ Analysis of Scientific Simulations AG Landge, V Pascucci, PT Bremer | | |
| Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability AG Landge, S Kumar, V Pascucci, I Rodero, M Parashar, PT Bremer | | |
| Analyzing Performance at Exascale Using Intuitive Visualizations AG Landge, KE Isaacs, A Bhatele, A Saha, JA Levine, T Gamblin, ... | | |
| Performance Analysis and Visualization A Landge, JA Levine, PT Bremer, M Schulz, T Gamblin, KE Isaacs, ... | | |
| Scalable Domain Adaptation via Intelligent Sampling A Landge, S Daruki, S Krishnaswamy | | |
| Visualizing Heterogeneous Performance Tested on MPI+ CUDA Gigapixel Panorama Stitching A Landge | | |
Valerio PascucciEndowed Chair professor and Director of the Center for Extreme Data Management Analysis and在 sci.utah.edu 的电子邮件经过验证