Hatem Moumni, Olfa Hamdi-Larbi. An Efficient Parallelization Model for Sparse Non-negative Matrix Factorization Using cuSPARSE Library on Multi-GPU Platform. In Yongxuan Lai, Tian Wang 0001, Min Jiang 0005, Guangquan Xu, Wei Liang 0005, Aniello Castiglione, editors, Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part II. Volume 13156 of Lecture Notes in Computer Science, pages 161-177, Springer, 2021. [doi]
@inproceedings{MoumniH21,
title = {An Efficient Parallelization Model for Sparse Non-negative Matrix Factorization Using cuSPARSE Library on Multi-GPU Platform},
author = {Hatem Moumni and Olfa Hamdi-Larbi},
year = {2021},
doi = {10.1007/978-3-030-95388-1_11},
url = {https://doi.org/10.1007/978-3-030-95388-1_11},
researchr = {https://researchr.org/publication/MoumniH21},
cites = {0},
citedby = {0},
pages = {161-177},
booktitle = {Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part II},
editor = {Yongxuan Lai and Tian Wang 0001 and Min Jiang 0005 and Guangquan Xu and Wei Liang 0005 and Aniello Castiglione},
volume = {13156},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-95388-1},
}