| Binfpe: Accurate floating-point exception detection for gpu applications I Laguna, X Li, G Gopalakrishnan Proceedings of the 11th ACM SIGPLAN International Workshop on the State Of …, 2022 | 5 | 2022 |
| Design and evaluation of GPU-FPX: A low-overhead tool for floating-point exception detection in NVIDIA GPUs X Li, I Laguna, B Fang, K Swirydowicz, A Li, G Gopalakrishnan Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023 | 4 | 2023 |
| FPChecker: Floating-point exception detection tool and benchmark for parallel and distributed hpc I Laguna, T Tirpankar, X Li, G Gopalakrishnan 2022 IEEE International Symposium on Workload Characterization (IISWC), 39-50, 2022 | 3 | 2022 |
| Approximating the geometric edit distance K Fox, X Li Algorithmica 84 (9), 2395-2413, 2022 | 3 | 2022 |
| Toward increasing trust in exascale simulations DB Khalifa, X Li, I Laguna, M Martel, G Gopalakrishnan 2022 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing …, 2022 | 1 | 2022 |
| A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates Z Mao, X Li, S Hu, G Gopalakrishnan, A Li Engineering Analysis with Boundary Elements 161, 113-125, 2024 | | 2024 |
| FlowFPX: Nimble Tools for Debugging Floating-Point Exceptions T Allred, X Li, A Wiersdorf, B Greenman, G Gopalakrishnan arXiv preprint arXiv:2403.15632, 2024 | | 2024 |
| FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators X Li, A Li, B Fang, K Swirydowicz, I Laguna, G Gopalakrishnan arXiv preprint arXiv:2403.00232, 2024 | | 2024 |
| GPU-FPX I Laguna Peralta, X Li, G Gopalakrishnan Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2023 | | 2023 |
| Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications B Fang, SKS Hari, T Tsai, X Li, G Gopalakrishnan, I Laguna, K Barker, A Li 2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale …, 2022 | | 2022 |
| BinFPE I Laguna Peralta Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2022 | | 2022 |
| Approximating the Geometric Edit Distance X Li The University of Texas at Dallas, 2019 | | 2019 |
