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 ...

Sparse Matrix-Vector Multiplication (SpMV) is a fundamental workload of numerous applications. However, for today's high-end superscalar CPUs, such as Intel Xeon series, it is usually difficult to ...

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