Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...
Some tensor networks are made of symmetric tensors: tensors that are left invariant when we act on their indices with transformations that form a symmetry group. For instance, a tensor can be ...
Abstract: Sparse-Dense Matrix Multiplication (SpMM) on GPUs has gained significant attention because of its importance in modern applications and the increasing computing power of GPUs in the last ...
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