Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...
Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...
SIAM Journal on Numerical Analysis, Vol. 24, No. 6 (Dec., 1987), pp. 1394-1418 (25 pages) This paper considers the incomplete Choleski conjugate gradient method for symmetric positive definite linear ...
Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...
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