FIELD

This disclosure relates to machine learning and in particular to compute near memory.

BACKGROUND

In a deep learning system, a neural network model is stored in memory and computational logic in a processor performs multiply-and-accumulate (MAC) computations on the parameters (for example, weights) stored in the memory. Data transfer between memory and the processor is an energy-intensive process and can consume a large percentage of the power in machine learning workloads.

