| Quantifying openmp: Statistical insights into usage and adoption T Kadosh, N Hasabnis, T Mattson, Y Pinter, G Oren 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2023 | 14 | 2023 |
| Advising openmp parallelization via a graph-based approach with transformers T Kadosh, N Schneider, N Hasabnis, T Mattson, Y Pinter, G Oren International Workshop on OpenMP, 3-17, 2023 | 14 | 2023 |
| Scope is all you need: Transforming LLMs for HPC Code T Kadosh, N Hasabnis, VA Vo, N Schneider, N Krien, A Wasay, N Ahmed, ... arXiv preprint arXiv:2308.09440, 2023 | 7 | 2023 |
| Mpi-rical: Data-driven mpi distributed parallelism assistance with transformers N Schneider, T Kadosh, N Hasabnis, T Mattson, Y Pinter, G Oren Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 6 | 2023 |
| Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks T Kadosh, N Hasabnis, VA Vo, N Schneider, N Krien, M Capota, A Wasay, ... arXiv preprint arXiv:2312.13322, 2023 | 5 | 2023 |
| PragFormer: Data-driven Parallel Source Code Classification with Transformers T Kadosh, N Hasabnis, T Mattson, Y Pinter, G Oren | 3 | 2023 |
| PragFormer: Data-Driven Parallel Source Code Classification with Transformers R Harel, T Kadosh, N Hasabnis, T Mattson, Y Pinter, G Oren International Journal of Parallel Programming 53 (1), 1-26, 2025 | | 2025 |
| OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation T Kadosh, N Hasabnis, P Soundararajan, VA Vo, M Capota, N Ahmed, ... arXiv preprint arXiv:2409.14771, 2024 | | 2024 |
| MPIrigen: MPI Code Generation through Domain-Specific Language Models N Schneider, N Hasabnis, VA Vo, T Kadosh, N Krien, M Capota, G Tamir, ... Proceedings of the 2024 Workshop on AI For Systems, 1-6, 2024 | | 2024 |
