The present disclosure relates to a processor for implement ing artificial neural networks, for
example, convolutional neural networks. The processor includes a memory control ler …

The present disclosure relates to a processor for implementing artificial neural networks, for
example, convolutional neural networks. The processor includes a memory controller group …

The present disclosure relates to a processor for implementing artificial neural networks, for
example, convolutional neural networks. The processor includes a memory controller group …

Embodiments relate to a neural processor circuit including neural engines, a buffer, and a
kernel access circuit. The neural engines perform convolution operations on input data and …

Processors and methods for neural network processing are provided. A method in a
processor including a pipeline having a matrix vector unit (MVU), a first multifunction unit …

Embodiments relate to a neural processor circuit including a plurality of neural engine
circuits, a data buffer, and a kernel fetcher circuit. At least one of the neural engine circuits is …

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

Processors and methods for neural network processing are provided. A method in a
processor including a pipeline having a matrix vector unit (MVU), a first multifunction unit …

Embodiments relate to a neural processor circuit that includes multiple neural engine
circuits, a data buffer, and a kernel fetcher circuit. At least one of the neural engine circuits …

Implementing a neural network can include receiving a macro instruction for implementing
the neural network within a control unit of a neural network processor. The macro instruction …