| Understanding GPU-based lossy compression for extreme-scale cosmological simulations S Jin, P Grosset, CM Biwer, J Pulido, J Tian, D Tao, J Ahrens 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 38 | 2020 |
| In situ data-driven adaptive sampling for large-scale simulation data summarization A Biswas, S Dutta, J Pulido, J Ahrens Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme …, 2018 | 34 | 2018 |
| An improved method for object detection in astronomical images C Zheng, J Pulido, P Thorman, B Hamann Monthly Notices of the Royal Astronomical Society 451 (4), 4445-4459, 2015 | 29 | 2015 |
| Foresight: analysis that matters for data reduction P Grosset, CM Biwer, J Pulido, AT Mohan, A Biswas, J Patchett, TL Turton, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 27 | 2020 |
| Survey and analysis of multiresolution methods for turbulence data J Pulido, D Livescu, J Woodring, J Ahrens, B Hamann Computers & Fluids 125, 39-58, 2016 | 16 | 2016 |
| Adaptive configuration of in situ lossy compression for cosmology simulations via fine-grained rate-quality modeling S Jin, J Pulido, P Grosset, J Tian, D Tao, J Ahrens Proceedings of the 30th International Symposium on High-Performance Parallel …, 2021 | 11 | 2021 |
| Modelling the Lyman-α forest with Eulerian and SPH hydrodynamical methods S Chabanier, JD Emberson, Z Lukić, J Pulido, S Habib, E Rangel, ... Monthly Notices of the Royal Astronomical Society 518 (3), 3754-3776, 2023 | 10 | 2023 |
| Pascal Grosset, Jiannan Tian, Dingwen Tao, and James Ahrens. 2021. Adaptive configuration of in situ lossy compression for cosmology simulations via fine-grained rate-quality … S Jin, J Pulido Proceedings of the 30th ACM International Symposium on High-Performance …, 2021 | 10 | 2021 |
| Personalized in situ steering for analysis and visualization P Grosset, J Pulido, J Ahrens ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2020 | 9 | 2020 |
| C. Canada, J. Ahrens, and B. Hamann. Remote visual analysis of large turbulence databases at multiple scales J Pulido, D Livescu, K Kanov, R Burns Journal of Parallel and Distributed Computing 120, 115-126, 2018 | 9 | 2018 |
| Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations D Wang, J Pulido, P Grosset, S Jin, J Tian, J Ahrens, D Tao arXiv preprint arXiv:2204.00711, 2022 | 6* | 2022 |
| Remote visual analysis of large turbulence databases at multiple scales J Pulido, D Livescu, K Kanov, R Burns, C Canada, J Ahrens, B Hamann Journal of Parallel and Distributed Computing 120, 115-126, 2018 | 6 | 2018 |
| Homogeneous buoyancy driven turbulence data set D Livescu, K Kanov, R Burns, J Pulido Johns Hopkins Turbulence Databases, 2014 | 6 | 2014 |
| Cbgir: content-based geographic image retrieval S Newsam, D Leung, O Caballero, J Floreza, J Pulido Proceedings of the 18th SIGSPATIAL International Conference on Advances in …, 2010 | 6 | 2010 |
| Amric: A novel in situ lossy compression framework for efficient i/o in adaptive mesh refinement applications D Wang, J Pulido, P Grosset, J Tian, S Jin, H Tang, J Sexton, S Di, K Zhao, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 5 | 2023 |
| TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations D Wang, J Pulido, P Grosset, S Jin, J Tian, J Ahrens, D Tao Proceedings of the 31st International Symposium on High-Performance Parallel …, 2022 | 4 | 2022 |
| Multiresolution classification of turbulence features in image data through machine learning J Pulido, RD da Silva, D Livescu, B Hamann Computers & Fluids 214, 104770, 2021 | 4 | 2021 |
| Analyzing impact of data reduction techniques on visualization for amr applications using amrex framework D Wang, J Pulido, P Grosset, J Tian, J Ahrens, D Tao Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 3 | 2023 |
| Constructing Point Clouds from Underwater Stereo Movies J Pulido, RD da Silva, D Sumner, H Pedrini, B Hamann Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 2 | 2014 |
| Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition J Pulido, J Patchett, M Bhattarai, B Alexandrov, J Ahrens EuroVis, 2021 | 1 | 2021 |
