More asymmetry yields faster matrix multiplication

Josh Alman and Ran Duan and Virginia Vassilevska Williams and Yinzhan Xu and Zixuan Xu and Renfei Zhou

misc2024

Citation key: AlmanEtAl2024Asymmetry
Year: 2024
Cited by: 1 catalog records
Direct source: Available

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Josh Alman, Ran Duan, Virginia Vassilevska Williams, Yinzhan Xu, Zixuan Xu, and Renfei Zhou, “More asymmetry yields faster matrix multiplication,” arXiv:2404.16349 (2024), https://arxiv.org/abs/2404.16349.

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TCS-018Matrix Multiplication Exponent $\omega=2$ Theoretical computer science

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author: Josh Alman and Ran Duan and Virginia Vassilevska Williams and Yinzhan Xu and Zixuan Xu and Renfei Zhou
note: Josh Alman, Ran Duan, Virginia Vassilevska Williams, Yinzhan Xu, Zixuan Xu, and Renfei Zhou, “More asymmetry yields faster matrix multiplication,” arXiv:2404.16349 (2024), https://arxiv.org/abs/2404.16349.
title: More asymmetry yields faster matrix multiplication
url: https://arxiv.org/abs/2404.16349
year: 2024