Jesús Cámara, Javier Cuenca 0001, Murilo Boratto. Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I. Volume 14073 of Lecture Notes in Computer Science, pages 668-682, Springer, 2023. [doi]
@inproceedings{CamaraCB23,
title = {Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures},
author = {Jesús Cámara and Javier Cuenca 0001 and Murilo Boratto},
year = {2023},
doi = {10.1007/978-3-031-35995-8_47},
url = {https://doi.org/10.1007/978-3-031-35995-8_47},
researchr = {https://researchr.org/publication/CamaraCB23},
cites = {0},
citedby = {0},
pages = {668-682},
booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I},
editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {14073},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-35995-8},
}