SPIKING NEURAL NETWORK WITH REDUCED MEMORY ACCESS AND REDUCED IN-NETWORK BANDWIDTH CONSUMPTION

摘要

A spiking neural network having a plurality layers partitioned into a plurality of frustums using a first partitioning may be implemented, where each frustum includes one tile of each partitioned layer of the spiking neural network. A first tile of a first layer of the spiking neural network may be read. Using a processor, a first tile of a second layer of the spiking neural network may be generated using the first tile of the first layer while storing intermediate data within an internal memory of the processor. The first tile of the first layer and the first tile of the second layer belong to a same frustum.

主权项

1. A method of implementing a spiking neural network having a plurality layers partitioned into a plurality of frustums using a first partitioning, wherein each frustum includes one tile of each partitioned layer of the spiking neural network, the method comprising:
reading a first tile of a first layer of the spiking neural network; and generating, using a processor, a first tile of a second layer of the spiking neural network using the first tile of the first layer while storing intermediate data within an internal memory of the processor; the first tile of the first layer and the first tile of the second layer belonging to a same frustum.