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cs.DC2020
EZLDA: Efficient and Scalable LDA on GPUs
Shilong Wang, Hang Liu, Anil Gaihre +1
LDA is a statistical approach for topic modeling with a wide range of applications. However, there exist very few attempts to accelerate LDA on GPUs which come with exceptional com…
cs.DC2020★ 1 cited
GSoFa: Scalable Sparse Symbolic LU Factorization on GPUs
Anil Gaihre, Xiaoye S. Li, Hang Liu
Decomposing matrix A into a lower matrix L and an upper matrix U, which is also known as LU decomposition, is an essential operation in numerical linear algebra. For a sparse matri…