Abstract: A sparse matrix receive beamforming method variation using a genetic algorithm was developed and implemented to optimize the delay/apodization values aiming at improving image quality.
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
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