Computational Cost of Matrix Multiplication

Computational cost of algorithms is an increasingly essential characteristic of algorithms. Matrix multiplication is one good example of a computationally expensive process applied in so many fields of AI. There were multiple attempts to optimize matrix multiplication with fundamentally new ways to approach the problem in the past decades. This paper is a pretty exciting review of significant developments in computational linear algebra.  

#linearalgebra #computationalcost #matrixmultiplication #tensors

https://www.quantamagazine.org/mathematicians-inch-closer-to-matrix-multiplication-goal-20210323/