Method and system for mapping spiking neural network to brain-like computing platform and medium

Abstract

The invention discloses a method and system for mapping spiking neural network to a brain-like computing platform and a medium, and the method comprises the steps: carrying out SNN simulation and analysis, extracting a topological structure of a trained SNN network and the behaviors of neurons, and forming an undirected SNN graph and a pulse behavior track; dividing the extracted undirected SNN graph into a plurality of SNN sub-blocks, and optimizing pulse communication traffic among the SNN sub-blocks; and finding an optimal mapping scheme by using a heuristic search algorithm, allocating theSNN sub-blocks to neuron cores on the target brain-like platform, and minimizing the average hop count of pulses communicated on the target platform. The large SNN can be divided into a plurality ofsub-blocks and then mapped to the NoC-based brain-like processor to be efficiently executed, the division scheme found in time can be optimal, the cost for finding the mapping scheme can be low, the time consumption for searching is reduced, and the efficient execution of the execution speed is ensured.

Description

technical field [0001] The invention relates to computing technology of a pulse neural network and a brain-inspired computing platform, in particular to a method, system and medium for mapping a pulse neural network to a brain-inspired computing platform. Background technique [0002] Spiking Neural Network (SNN for short) is the third-generation Artificial Neural Network (ANN for short) inspired by brain science. It is currently widely used in pattern recognition, image recognition and other fields. The neurons in the SNN will accumulate the membrane voltage after receiving the stimulation, and when the voltage exceeds the threshold, they will be excited to generate a pulse signal. SNN has strong biological characteristics, and at the same time requires low energy consumption when simulated on a brain-like platform. Most of the brain-inspired platforms that have been developed so far are based on the Network on Chip (NoC for short), through which the numerous neuron nuclei...

AI Technical Summary

Problems solved by technology

In order to obtain accurate evaluation results, it is usually necessary to use hardware or a hardware simulator, but this will bring a lot of time consumption, resulting in a significant decrease in the execution speed of the search algorithm

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