Energy-efficient memory systems and methods

Abstract

Described herein are systems and methods that increase the utilization and performance of computational resources, such as storage space and computation time, thereby, reducing computational cost. Various embodiments of the invention provide for a hardware structure that allows both streaming of source data that eliminates redundant data transfer and allows for in-memory computations that eliminate requirements for data transfer to and from intermediate storage. In certain embodiments, computational cost is reduced by using a hardware structure that enables mathematical operations, such as element-wise matrix multiplications employed by convolutional neural networks, to be performed automatically and efficiently.