7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.DC2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Eric Qin, Geonhwa Jeong, William Won +7
Sparsity, which occurs in both scientific applications and Deep Learning (DL) models, has been a key target of optimization within recent ASIC accelerators due to the potential mem…
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…