An Efficient Parallelization Approach for Large-Scale Sparse Non-Negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPU
Year: 2017
Type: conference-paper
Authors: Hao Li, Kenli Li, Jiwu Peng, Junyan Hu, Keqin Li
Institutions: National Supercomputing Changsha Center, SUNY New Paltz
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2806958158