Shooting in Portland's Pearl District leaves two injured, suspect at large A shooting in Portland's Pearl District early Sunday morning left two people injured, prompting an investigation by ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Abstract: In this work, one novel dual-gate 2T0C is proposed for multi-bit input vector-matrix multiplication (VMM) in in-memory computing (IMC). Unlike the existing pulse-width modulation (PWM) ...

Abstract: In this work, we propose multi-input memristor-based vector-matrix-multiplication (VMM) acceleration in memristor crossbar arrays via bit-grouping. First, we demonstrate parallel processing ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

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Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

:param matrix_a: A square Matrix. :param matrix_b: Another square Matrix with the same dimensions as matrix_a. :param result: Result matrix :param i: Index used for iteration during multiplication.