A heterogeneous processor architecture for integrating a convolutional neural network
(CNN) and a recurrent neural network (RNN) into a single high-performance, low-power …

(57) ABSTRACT A processor includes a front-end portion that issues instruc-tions to
execution units that execute the issued instructions. A hardware neural network unit (NNU) …

(57) ABSTRACT A dynamically adaptive neural network processing system includes
memory to store instructions representing a neural network in contiguous blocks, hardware …

(57) ABSTRACT A deep neural network (“DNN”) module compresses and decompresses
neuron-generated activation data to reduce the utilization of memory bus bandwidth. The …

(57) ABSTRACT A novel and useful neural network (NN) processing core adapted to
implement artificial neural networks (ANNs). The NN processor is constructed from self …

Hardware for implementing a Deep Neural Network (DNN) having a convolution layer, the
hardware comprising a plurality of convolution engines each configured to perform …

A circuit for performing neural network computations for a neural network comprising a
plurality of layers, the circuit comprising: activation circuitry configured to receive a vector of …

US11675693B2 - Neural network processor incorporating inter-device connectivity - Google
Patents US11675693B2 - Neural network processor incorporating inter-device connectivity …

A circuit for performing neural network computations for a neural network comprising a
plurality of neural network layers, the circuit comprising: a matrix computation unit configured …

A method of configuring a System-on-Chip (SoC) to execute a Convolutional Neural
Network (CNN) by (i) receiving scheduling schemes each specifying a sequence of …