Vector-Matrix Multiplication is slower in Blackwell (B200) than Hopper (H200) #161134 ...

Sparse general matrix multiplication (SpGEMM) is a fundamental building block in numerous scientific applications. One critical task of SpGEMM is to compute or predict the structure of the output ...

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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 ...

BUFFALO, N.Y. — Last year, onlookers observed a startling site on China's Qiantang River: waves forming a grid-like pattern. Dubbed the "matrix tide," this complex wave pattern was caused by the river ...