Sparse matrix-vector multiplication (SpMV) serves as a crucial operation for several key application domains, such as graph analytics and scientific computing, in the era of big data. The performance ...

Sparse matrix storage optimization is crucial in expanding the occurrences of datasets in scientific computation, machine learning, and high-dimensional applications, in which the traditional dense ...