| Vtk-m: Accelerating the visualization toolkit for massively threaded architectures K Moreland, C Sewell, W Usher, L Lo, J Meredith, D Pugmire, J Kress, ... IEEE computer graphics and applications 36 (3), 48-58, 2016 | 196 | 2016 |
| The alpine in situ infrastructure: Ascending from the ashes of strawman M Larsen, J Ahrens, U Ayachit, E Brugger, H Childs, B Geveci, C Harrison Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale …, 2017 | 143 | 2017 |
| A terminology for in situ visualization and analysis systems H Childs, SD Ahern, J Ahrens, AC Bauer, J Bennett, EW Bethel, ... The International Journal of High Performance Computing Applications 34 (6 …, 2020 | 74 | 2020 |
| A flexible system for in situ triggers M Larsen, A Woods, N Marsaglia, A Biswas, S Dutta, C Harrison, H Childs Proceedings of the workshop on in situ infrastructures for enabling extreme …, 2018 | 47 | 2018 |
| Ray tracing within a data parallel framework M Larsen, JS Meredith, PA Navrátil, H Childs 2015 ieee pacific visualization symposium (pacificvis), 279-286, 2015 | 47 | 2015 |
| Strawman: A batch in situ visualization and analysis infrastructure for multi-physics simulation codes M Larsen, E Brugger, H Childs, J Eliot, K Griffin, C Harrison Proceedings of the First Workshop on In Situ Infrastructures for Enabling …, 2015 | 43 | 2015 |
| Performance modeling of in situ rendering M Larsen, C Harrison, J Kress, D Pugmire, JS Meredith, H Childs SC'16: Proceedings of the International Conference for High Performance …, 2016 | 42 | 2016 |
| Comparing the efficiency of in situ visualization paradigms at scale J Kress, M Larsen, J Choi, M Kim, M Wolf, N Podhorszki, S Klasky, ... High Performance Computing: 34th International Conference, ISC High …, 2019 | 37 | 2019 |
| Volume Rendering Via Data-Parallel Primitives. M Larsen, S Labasan, PA Navrátil, JS Meredith, H Childs EGPGV@ EuroVis, 53-62, 2015 | 35 | 2015 |
| A scalable hybrid scheme for ray-casting of unstructured volume data R Binyahib, T Peterka, M Larsen, KL Ma, H Childs IEEE transactions on visualization and computer graphics 25 (7), 2349-2361, 2018 | 28 | 2018 |
| Opportunities for cost savings with in-transit visualization J Kress, M Larsen, J Choi, M Kim, M Wolf, N Podhorszki, S Klasky, ... High Performance Computing: 35th International Conference, ISC High …, 2020 | 24 | 2020 |
| Ascent: A flyweight in situ library for exascale simulations M Larsen, E Brugger, H Childs, C Harrison In Situ Visualization For Computational Science, 255-279, 2022 | 19 | 2022 |
| Projecting performance data over simulation geometry using sosflow and alpine C Wood, M Larsen, A Gimenez, K Huck, C Harrison, T Gamblin, A Malony Programming and Performance Visualization Tools: International Workshops …, 2019 | 16 | 2019 |
| Interactive in situ visualization and analysis using ascent and jupyter S Ibrahim, T Stitt, M Larsen, C Harrison Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme …, 2019 | 15 | 2019 |
| Conduit: A successful strategy for describing and sharing data in situ C Harrison, M Larsen, BS Ryujin, A Kunen, A Capps, J Privitera 2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling …, 2022 | 14 | 2022 |
| Minimizing development costs for efficient many-core visualization using MCD3 K Moreland, R Maynard, D Pugmire, A Yenpure, A Vacanti, M Larsen, ... Parallel Computing 108, 102834, 2021 | 12 | 2021 |
| Performance impacts of in situ wavelet compression on scientific simulations S Li, M Larsen, J Clyne, H Childs Proceedings of the in situ infrastructures on enabling extreme-scale …, 2017 | 12 | 2017 |
| Techniques for data-parallel searching for duplicate elements B Lessley, K Moreland, M Larsen, H Childs 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV), 1-5, 2017 | 12 | 2017 |
| Paviz: A power-adaptive framework for optimizing visualization performance M Larsen, H Childs, B Rountree | 12 | 2017 |
| Optimizing multi-image sort-last parallel rendering M Larsen, K Moreland, CR Johnson, H Childs 2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV), 37-46, 2016 | 12 | 2016 |
Hank ChildsProfessor of Computer Science, University of OregonVerified email at uoregon.edu
