Sparse-GEMM (General Matrix Multiplication) is a critical algorithmic advancement in the domain of edge AI and deep learning, especially when dealing with sparse neural networks. Sparse-GEMM is a specialized form of matrix multiplication that leverages sparsity in the matrices—i.e., matrices that have a large proportion of zero-valued elements. By skipping computations involving zeros, Sparse-GEMM algorithms … Continue reading Sparse-GEMM (General Matrix Multiplication) Algorithms in 2025