Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
Abstract: For sparse array design, degrees of freedom (DOFs) and mutual coupling (MC) are two essential metrics to be taken into account, and high DOFs and low MC are favorable to generating better ...
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