Abstract: Performing highly accurate representation learning on a high-dimensional and sparse (HiDS) matrix is of great significance in a big data-related application such as a recommender system. A ...
Abstract: Sparse general matrix-matrix multiplication, SpGEMM, is one of the most fundamental yet challenging sparse computation kernels. Due to its irregular computation pattern, SpGEMM frequently ...
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