MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime

Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara. MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. In Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023. pages 1081-1092, ACM, 2023. [doi]

@inproceedings{MonilMTVV23,
  title = {MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime},
  author = {Mohammad Alaul Haque Monil and Narasinga Rao Miniskar and Keita Teranishi and Jeffrey S. Vetter and Pedro Valero-Lara},
  year = {2023},
  doi = {10.1145/3624062.3624184},
  url = {https://doi.org/10.1145/3624062.3624184},
  researchr = {https://researchr.org/publication/MonilMTVV23},
  cites = {0},
  citedby = {0},
  pages = {1081-1092},
  booktitle = {Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023},
  publisher = {ACM},
}