| 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 |
| Particles Detection System with CR-39 Based on Deep Learning G Amit, I Mosseri, O Even-Hen, N Schneider, E Fisher, H Datz, E Cohen, ... Laser and Particle Beams 2022, e12, 2022 | 6 | 2022 |
| 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 |
| Hate Speech Targets Detection in Parler using BERT N Schneider, S Shouei, S Ghantous, E Feldman arXiv preprint arXiv:2304.01179, 2023 | 4 | 2023 |
| Determining HEDP Foams' Quality with Multi-View Deep Learning Classification N Schneider, M Rusanovsky, R Gvishi, G Oren 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine …, 2022 | 2 | 2022 |
| 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 |
| Reactor Optimization Benchmark by Reinforced Learning D Schwarcz, N Schneider, G Oren, U Steinitz EPJ Web of Conferences 302, 17009, 2024 | | 2024 |
| Explainable Deep Multi-View Methodology for HEDP Foam Quality Assessment N Schneider, M Tzdaka, G Strum, G Lazovski, G Bar, G Oren, R Gvishi, ... AI for Accelerated Materials Design-Vienna 2024, 0 | | |
| AI4S 2022 R Arora, N Schneider, M Rusanovsky, I NRCN | | |
