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 ...
Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback