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Abstract: This paper describes the implementation of a floating-point 4times4 matrix-vector multiplication on a reconfigurable system. The 4times4 matrix-vector multiplication is meant to be used to ...

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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Abstract: The matrix-vector multiplication is the key operation for many computationally intensive algorithms. In recent years, the emerging metal oxide resistive switching random access memory (RRAM) ...