Abstract: Sparse Matrix-Matrix Multiplication(SpMM) is a commonly utilized operation in various domains, particularly in the increasingly popular Graph Neural Networks(GNN) framework. The current ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

To prevent initialization failure of control points, you use the argument --init_isotropic_gs_with_all_colmap_pcl on self-captured datasets. To begin the training, select the 'start' button. The ...