Abstract: Dense matrix multiplication involving a symmetric input matrix (SYMM) is implemented in reference distributed-memory codes with the same data distribution as its general analogue (GEMM). We ...

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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Have you ever wondered what Public folders are in the User folder in Windows 11/10 and how they can help you share files effortlessly between different user accounts on the same computer? Read this ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...