Abstract: Sparse Matrix-Matrix Multiplication (SpMM) on GPU is critical to applications ranging from scientific simulations to Graph Neural Networks (GNNs) and Deep Neural Networks (DNNs). Modern GPUs ...
parameter integer M_SIZE = 48, // rows of A, rows of C parameter integer K_SIZE = 48, // cols of A = rows of B parameter integer N_SIZE = 48, // cols of B, cols of C parameter integer SA_SIZE = 16, ...
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