Recent work has developed coding theoretic approaches to add redundancy to distributed matrix-vector multiplications with the goal of speeding up the computation by mitigating the straggler effect in ...

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Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as workers. When ...

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Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...

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