An Efficient Parallelization Model for Sparse Non-negative Matrix Factorization Using cuSPARSE Library on Multi-GPU Platform

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]

Abstract

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