Asynchronous communication interconnection architecture and brain-like chip with same

Abstract

The invention relates to the technical field of artificial neural networks, in particular to an asynchronous communication interconnection architecture and a brain-like chip with the architecture, and the asynchronous communication interconnection architecture comprises an in-chip asynchronous communication interconnection architecture, an inter-chip asynchronous communication interconnection architecture, a neuron calculation unit and an on-chip routing unit; the neuron calculation unit and the on-chip routing unit are respectively provided with an independent clock management module in an independent clock domain, the neuron calculation unit and the on-chip routing unit are connected in the same brain chip, and the on-chip routing unit and the adjacent on-chip routing unit are connected through the on-chip asynchronous communication interconnection architecture. The adjacent brain-like chips are connected with each other through the asynchronous communication interconnection architecture between the chips. According to the method, a large number of neuron computing units can be efficiently integrated in the brain-like chip, and meanwhile, the brain-like chip is efficiently cascaded and expanded, so that neuron computing resources of a large scale are obtained.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to an asynchronous communication interconnection architecture and a brain-inspired chip with the architecture. Background technique [0002] In recent years, with the development of brain science, people have gradually realized that the human brain is a computer with extremely high energy efficiency, and brain-like computing has emerged, the core of which is the use of spiking neurons that are closer to the working mechanism of biological nerves. Model. The basic idea of ​​brain-like computing is to apply the concept of biological neural network to computer system design. The essential characteristics of biological real pulse neural network, such as information transmission is pulse propagation in an event-driven manner, determines its response speed, low Power consumption and other aspects have unique advantages. [0003] However, due to the limited function of...

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Problems solved by technology

[0003]However, due to the limited function of a single neuron, only millions of neurons can work together to show unique advantages in specific intelligent application fields, so how to pass efficient It is a core issue to integrate as many neuron computing units as possible inside the brain-like chip, and to cascade and expand the chip through an efficient interconnection method to obtain large-scale neuron computing resources.

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