7 citations · 18 across the 5 of their papers we have counts for
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cs.LG2019★ 7 cited
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization
Gordon E. Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy +1
Non-negative Matrix Factorization (NMF) is a key kernel for unsupervised dimension reduction used in a wide range of applications, including topic modeling, recommender systems and…
cs.DC2019★ 3 cited
Load-Balanced Sparse MTTKRP on GPUs
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam +2
Sparse matricized tensor times Khatri-Rao product (MTTKRP) is one of the most computationally expensive kernels in sparse tensor computations. This work focuses on optimizing the M…