Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
Abstract: Matrix multiplication has always been a cornerstone in computer science. In fact, linear algebra tools permeate a wide variety of applications: from weather forecasting, to financial market ...