| A study of parallel particle tracing for steady-state and time-varying flow fields T Peterka, R Ross, B Nouanesengsy, TY Lee, HW Shen, W Kendall, ... 2011 IEEE International Parallel & Distributed Processing Symposium, 580-591, 2011 | 122 | 2011 |
| Load-balanced parallel streamline generation on large scale vector fields B Nouanesengsy, TY Lee, HW Shen IEEE Transactions on Visualization and Computer Graphics 17 (12), 1785-1794, 2011 | 96 | 2011 |
| Parallel particle advection and FTLE computation for time-varying flow fields B Nouanesengsy, TY Lee, K Lu, HW Shen, T Peterka SC'12: Proceedings of the International Conference on High Performance …, 2012 | 53 | 2012 |
| Adr visualization: A generalized framework for ranking large-scale scientific data using analysis-driven refinement B Nouanesengsy, J Woodring, J Patchett, K Myers, J Ahrens 2014 ieee 4th symposium on large data analysis and visualization (ldav), 43-50, 2014 | 52 | 2014 |
| Flow-guided file layout for out-of-core pathline computation CM Chen, B Nouanesengsy, TY Lee, HW Shen IEEE Symposium on Large Data Analysis and Visualization (LDAV), 109-112, 2012 | 30 | 2012 |
| Visualization and analysis of threats from asteroid ocean impacts J Patchett, F Samsel, K Tsai, GR Gisler, DH Rogers, GD Abram, TL Turton Supercomputing, 2016 | 29 | 2016 |
| Revisiting parallel rendering for shared memory machines B Nouanesengsy, J Ahrens, J Woodring, H Shen Proceedings of the 11th Eurographics conference on Parallel Graphics and …, 2011 | 12 | 2011 |
| Classification and uncertainty visualization of dendritic spines from optical microscopy imaging F Janoos, B Nouansengsy, X Xu, R Machiraju, STC Wong Computer Graphics Forum 27 (3), 879-886, 2008 | 12 | 2008 |
| Visual analysis of brain activity from fMRI data F Janoos, B Nouanesengsy, R Machiraju, HW Shen, S Sammet, M Knopp, ... Computer Graphics Forum 28 (3), 903-910, 2009 | 11 | 2009 |
| Petascale visualization: Approaches and initial results J Ahrens, LT Lo, B Nouanesengsy, J Patchett, A McPherson 2008 Workshop on Ultrascale Visualization, 24-28, 2008 | 9 | 2008 |
| In Situ and Post Processing Workflows for Asteroid Ablation Studies. JM Patchett, B Nouanesengsy, G Gisler, JP Ahrens, H Hagen EuroVis (Short Papers), 61-65, 2017 | 6 | 2017 |
| Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders B Nouanesengsy, SC Seok, HW Shen, VJ Vieland 2009 IEEE Symposium on Visual Analytics Science and Technology, 171-178, 2009 | 6 | 2009 |
| C. Canada, M. Daniels, H. Abhold, and G. Rockefeller. Case study of in situ data analysis in asc integrated codes, 2013 J Patchett, J Ahrens, B Nouanesengsy, P Fasel, P O’leary, C Sewell, ... LA-UR-13-26599, 0 | 5 | |
| Hierarchy visualizations B Nouanesengsy, Y Li IN M. SHAH CHARACTERS. PROCEEDINGS OF THE 27, 1997 | 2 | 1997 |
| A model for optimizing file access patterns using spatio-temporal parallelism B Nouanesengsy, J Patchett, J Ahrens, A Bauer, A Chaudhary, R Miller, ... Proceedings of the 8th International Workshop on Ultrascale Visualization, 1-8, 2013 | 1 | 2013 |
| A model for optimizing file access patterns using spatio-temporal parallelism B Nouanesengsy, J Patchett, J Ahrens, A Bauer, A Chaudhary, R Miller, ... Proceedings of the 8th International Workshop on Ultrascale Visualization, 1-8, 2013 | 1 | 2013 |
| LANL CSSE L2: Case Study of In Situ Data Analysis in ASC Integrated Codes JM Patchett, JP Ahrens, B Nouanesengsy, PK Fasel, PW Oleary, ... Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2013 | 1 | 2013 |
| Cinema Toolkit D Banesh, J Pulido, D Ben-Naim, C Tauxe, R Bujack, A Biswas, J Patchett, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2018 | | 2018 |
| Hydrocode Models of Mitigation of a 170-Meter-Diameter Asteroid Using Energetic Techniques CS Plesko, GR Gisler, T Heberling, B Nouanesengsy, J Patchett, I Sagert, ... AGU Fall Meeting Abstracts 2017, NH13A-0109, 2017 | | 2017 |
| 2016 CSSE L3 Milestone: Deliver In Situ to XTD End Users JM Patchett, B Nouanesengsy, PK Fasel, JP Ahrens Los Alamos National Laboratory (LANL), 2016 | | 2016 |
