Abstract: Sparse matrix-vector multiplication (SpMV) is a critical kernel in scientific computing and high-performance applications, yet it remains challenging to optimize due to irregular memory ...
Companies partnering to drive solid-state transformer technology for AI data centres and industrial power applications Infineon and DG Matrix, a developer of Solid-State Transformer (SST) solutions, ...
Abstract: This paper studies the problem of recovering a spectrally sparse signal from its one-bit single-measurement vector. Most previous methods depend on multiple measurement vectors, which face ...
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