This notebook series presents two useful linear algebra operations by NumPy. Notebook 1: Multiplication between N-dimensional Arrays We describe the techniques for multiplying N-dimensional arrays ...

An array is made when items are arranged in rows and columns. This array has 12 counters. Every row in an array is the same length and every column in an array is the same length. This array has 4 ...

This project demonstrates a 2D weight-stationary systolic architecture for matrix multiplication, implemented in SystemC. Designed to be efficient in handling matrix multiplications, this project ...

Abstract: We present a new architecture for signed multiplication which maintains the pure form of an array multiplier, exhibiting a much lower overhead than the Booth architecture. This architecture ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...