Abstract: The rising popularity of deep learning algorithms demands special accelerators for matrix-matrix multiplication. Most of the matrix multipliers are designed based on the systolic array ...

Abstract: Matrix-matrix multiplication is commonly used as the core of operation in linear algebra computations and various applications such as finite element analysis and deep neural networks.

Lauren (Hansen) Holznienkemper is a lead editor for the small business vertical at Forbes Advisor, specializing in HR, payroll and recruiting solutions for small businesses. Using research and writing ...