More Asymmetry Yields Faster Matrix Multiplication
arxiv(2024)
摘要
We present a new improvement on the laser method for designing fast matrix
multiplication algorithms. The new method further develops the recent advances
by [Duan, Wu, Zhou FOCS 2023] and [Vassilevska Williams, Xu, Xu, Zhou SODA
2024]. Surprisingly the new improvement is achieved by incorporating more
asymmetry in the analysis, circumventing a fundamental tool of prior work that
requires two of the three dimensions to be treated identically. The method
yields a new bound on the square matrix multiplication exponent
ω<2.371339,
improved from the previous bound of ω<2.371552. We
also improve the bounds of the exponents for multiplying rectangular matrices
of various shapes.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要