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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 ...
Matrix multiplication is a widely-used routine in science and engineering applications. Accelerating this routine is important, because applications with large-scale matrix multiplication are ...