GPU-accelerated Large-Scale Non-negative Matrix Factorization Using Spark

Bing Tang; Linyao Kang; Yanmin Xia; Li Zhang

doi:10.1007/978-3-030-12981-1_13

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GPU-accelerated Large-Scale Non-negative Matrix Factorization Using Spark

Bing Tang Linyao Kang Yanmin Xia Li Zhang

Year: 2019 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 189-201

DOI: 10.1007/978-3-030-12981-1_13

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Keywords:

Computer science Non-negative matrix factorization SPARK (programming language) Matrix decomposition Parallel computing Cluster analysis Factorization Matrix (chemical analysis) Speedup Computational science Computation Matrix multiplication Algorithm Artificial intelligence

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Graph Theory and Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

GPU-accelerated Large-Scale Non-negative Matrix Factorization Using Spark

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