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Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication Sparse matrix multiplication operators (i.e., SpMM and SDDMM) are widely used in deep learning and scientific computing. Modern accelerators are commonly equipped with Tensor cores and CUDA cores t…

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

#CUDA #Sparse #SpMM #DeepLearning #DL #Package

hgpu.org?p=30006