| ACOTSP-MF: A memory-friendly and highly scalable ACOTSP approach PA Martínez, JM García Engineering Applications of Artificial Intelligence 99, 104131, 2021 | 11 | 2021 |
| Applying Intel's oneAPI to a machine learning case study PA Martínez, B Peccerillo, S Bartolini, JM García, G Bernabé Concurrency and Computation: Practice and Experience 34 (13), e6917, 2022 | 8 | 2022 |
| Matching linear algebra and tensor code to specialized hardware accelerators PA Martínez, J Woodruff, J Armengol-Estapé, G Bernabé, JM García, ... Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler …, 2023 | 7 | 2023 |
| A multi-GPU implementation of real-time time-dependent auxiliary density functional theory for the investigation of nanosystems irradiations PA Martínez, T Vock, LR Kharchi, JN Pedroza-Montero, X Wu, K Hasnaoui, ... Computer Physics Communications 295, 108946, 2024 | 4 | 2024 |
| HDNN: a cross-platform MLIR dialect for deep neural networks PA Martínez, G Bernabé, JM García The Journal of Supercomputing 78 (11), 13814-13830, 2022 | 4 | 2022 |
| Using PHAST to port Caffe library: First experiences and lessons learned EJ Gómez-Hernández, PA Martínez, B Peccerillo, S Bartolini, JM García, ... arXiv preprint arXiv:2005.13076, 2020 | 4 | 2020 |
| Code detection for hardware acceleration using large language models PA Martínez, G Bernabé, JM García IEEE Access, 2024 | 2 | 2024 |
| Performance portability in a real world application: PHAST applied to Caffe PA Martínez, B Peccerillo, S Bartolini, JM García, G Bernabé The International Journal of High Performance Computing Applications 36 (3 …, 2022 | 2 | 2022 |
| Improving the Performance, Portability, and Productivity of Hardware Accelerators PA Martínez Sánchez Proyecto de investigación, 2023 | 1* | 2023 |
| POAS: a framework for exploiting accelerator level parallelism in heterogeneous environments PA Martínez, G Bernabé, JM García The Journal of Supercomputing, 1-28, 2024 | | 2024 |
