Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

The sparse matrix-vector multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth requirements. To decrease memory ...

Non-reciprocal magneto-optics memory enables an integrated photonic platform that supports powerful matrix-vector multiplication computing and fast, efficient, fatigue-free programming capabilities.