Abstract: Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced.
Abstract: In this work, an energy-efficient bit-parallel static random-access memory (SRAM)-based computing-in-memory (SRAM-CIM) is proposed for general-purpose in-memory arithmetic operations to ...
Illinois sued the Trump administration on Monday to block National Guard troops from deploying in Chicago amid a sweeping illegal immigration crackdown. “Defendants’ deployment of federalized troops ...
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